repo stringclasses 85
values | path stringlengths 8 121 | func_name stringlengths 1 82 | original_string stringlengths 112 65.5k | language stringclasses 1
value | code stringlengths 112 65.5k | code_tokens listlengths 20 4.09k | docstring stringlengths 3 46.3k | docstring_tokens listlengths 1 564 | sha stringclasses 85
values | url stringlengths 93 218 | partition stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|
apple/turicreate | src/unity/python/turicreate/toolkits/text_analytics/_util.py | count_words | def count_words(text, to_lower=True, delimiters=DEFAULT_DELIMITERS):
"""
If `text` is an SArray of strings or an SArray of lists of strings, the
occurances of word are counted for each row in the SArray.
If `text` is an SArray of dictionaries, the keys are tokenized and the
values are the counts. C... | python | def count_words(text, to_lower=True, delimiters=DEFAULT_DELIMITERS):
"""
If `text` is an SArray of strings or an SArray of lists of strings, the
occurances of word are counted for each row in the SArray.
If `text` is an SArray of dictionaries, the keys are tokenized and the
values are the counts. C... | [
"def",
"count_words",
"(",
"text",
",",
"to_lower",
"=",
"True",
",",
"delimiters",
"=",
"DEFAULT_DELIMITERS",
")",
":",
"_raise_error_if_not_sarray",
"(",
"text",
",",
"\"text\"",
")",
"## Compute word counts",
"sf",
"=",
"_turicreate",
".",
"SFrame",
"(",
"{",... | If `text` is an SArray of strings or an SArray of lists of strings, the
occurances of word are counted for each row in the SArray.
If `text` is an SArray of dictionaries, the keys are tokenized and the
values are the counts. Counts for the same word, in the same row, are
added together.
This outpu... | [
"If",
"text",
"is",
"an",
"SArray",
"of",
"strings",
"or",
"an",
"SArray",
"of",
"lists",
"of",
"strings",
"the",
"occurances",
"of",
"word",
"are",
"counted",
"for",
"each",
"row",
"in",
"the",
"SArray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/text_analytics/_util.py#L24-L117 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/text_analytics/_util.py | count_ngrams | def count_ngrams(text, n=2, method="word", to_lower=True,
delimiters=DEFAULT_DELIMITERS,
ignore_punct=True, ignore_space=True):
"""
Return an SArray of ``dict`` type where each element contains the count
for each of the n-grams that appear in the corresponding input element... | python | def count_ngrams(text, n=2, method="word", to_lower=True,
delimiters=DEFAULT_DELIMITERS,
ignore_punct=True, ignore_space=True):
"""
Return an SArray of ``dict`` type where each element contains the count
for each of the n-grams that appear in the corresponding input element... | [
"def",
"count_ngrams",
"(",
"text",
",",
"n",
"=",
"2",
",",
"method",
"=",
"\"word\"",
",",
"to_lower",
"=",
"True",
",",
"delimiters",
"=",
"DEFAULT_DELIMITERS",
",",
"ignore_punct",
"=",
"True",
",",
"ignore_space",
"=",
"True",
")",
":",
"_raise_error_... | Return an SArray of ``dict`` type where each element contains the count
for each of the n-grams that appear in the corresponding input element.
The n-grams can be specified to be either character n-grams or word
n-grams. The input SArray could contain strings, dicts with string keys
and numeric values,... | [
"Return",
"an",
"SArray",
"of",
"dict",
"type",
"where",
"each",
"element",
"contains",
"the",
"count",
"for",
"each",
"of",
"the",
"n",
"-",
"grams",
"that",
"appear",
"in",
"the",
"corresponding",
"input",
"element",
".",
"The",
"n",
"-",
"grams",
"can... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/text_analytics/_util.py#L119-L243 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/text_analytics/_util.py | tf_idf | def tf_idf(text):
"""
Compute the TF-IDF scores for each word in each document. The collection
of documents must be in bag-of-words format.
.. math::
\mbox{TF-IDF}(w, d) = tf(w, d) * log(N / f(w))
where :math:`tf(w, d)` is the number of times word :math:`w` appeared in
document :math:`... | python | def tf_idf(text):
"""
Compute the TF-IDF scores for each word in each document. The collection
of documents must be in bag-of-words format.
.. math::
\mbox{TF-IDF}(w, d) = tf(w, d) * log(N / f(w))
where :math:`tf(w, d)` is the number of times word :math:`w` appeared in
document :math:`... | [
"def",
"tf_idf",
"(",
"text",
")",
":",
"_raise_error_if_not_sarray",
"(",
"text",
",",
"\"text\"",
")",
"if",
"len",
"(",
"text",
")",
"==",
"0",
":",
"return",
"_turicreate",
".",
"SArray",
"(",
")",
"dataset",
"=",
"_turicreate",
".",
"SFrame",
"(",
... | Compute the TF-IDF scores for each word in each document. The collection
of documents must be in bag-of-words format.
.. math::
\mbox{TF-IDF}(w, d) = tf(w, d) * log(N / f(w))
where :math:`tf(w, d)` is the number of times word :math:`w` appeared in
document :math:`d`, :math:`f(w)` is the number... | [
"Compute",
"the",
"TF",
"-",
"IDF",
"scores",
"for",
"each",
"word",
"in",
"each",
"document",
".",
"The",
"collection",
"of",
"documents",
"must",
"be",
"in",
"bag",
"-",
"of",
"-",
"words",
"format",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/text_analytics/_util.py#L246-L295 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/text_analytics/_util.py | drop_words | def drop_words(text, threshold=2, to_lower=True, delimiters=DEFAULT_DELIMITERS,
stop_words=None):
'''
Remove words that occur below a certain number of times in an SArray.
This is a common method of cleaning text before it is used, and can increase the
quality and explainability of the mo... | python | def drop_words(text, threshold=2, to_lower=True, delimiters=DEFAULT_DELIMITERS,
stop_words=None):
'''
Remove words that occur below a certain number of times in an SArray.
This is a common method of cleaning text before it is used, and can increase the
quality and explainability of the mo... | [
"def",
"drop_words",
"(",
"text",
",",
"threshold",
"=",
"2",
",",
"to_lower",
"=",
"True",
",",
"delimiters",
"=",
"DEFAULT_DELIMITERS",
",",
"stop_words",
"=",
"None",
")",
":",
"_raise_error_if_not_sarray",
"(",
"text",
",",
"\"text\"",
")",
"## Compute wor... | Remove words that occur below a certain number of times in an SArray.
This is a common method of cleaning text before it is used, and can increase the
quality and explainability of the models learned on the transformed data.
RareWordTrimmer can be applied to all the string-, dictionary-, and list-typed
... | [
"Remove",
"words",
"that",
"occur",
"below",
"a",
"certain",
"number",
"of",
"times",
"in",
"an",
"SArray",
".",
"This",
"is",
"a",
"common",
"method",
"of",
"cleaning",
"text",
"before",
"it",
"is",
"used",
"and",
"can",
"increase",
"the",
"quality",
"a... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/text_analytics/_util.py#L298-L410 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/text_analytics/_util.py | tokenize | def tokenize(text, to_lower=False, delimiters=DEFAULT_DELIMITERS):
"""
Tokenize the input SArray of text strings and return the list of tokens.
Parameters
----------
text : SArray[str]
Input data of strings representing English text. This tokenizer is not
intended to process XML, HT... | python | def tokenize(text, to_lower=False, delimiters=DEFAULT_DELIMITERS):
"""
Tokenize the input SArray of text strings and return the list of tokens.
Parameters
----------
text : SArray[str]
Input data of strings representing English text. This tokenizer is not
intended to process XML, HT... | [
"def",
"tokenize",
"(",
"text",
",",
"to_lower",
"=",
"False",
",",
"delimiters",
"=",
"DEFAULT_DELIMITERS",
")",
":",
"_raise_error_if_not_sarray",
"(",
"text",
",",
"\"text\"",
")",
"## Compute word counts",
"sf",
"=",
"_turicreate",
".",
"SFrame",
"(",
"{",
... | Tokenize the input SArray of text strings and return the list of tokens.
Parameters
----------
text : SArray[str]
Input data of strings representing English text. This tokenizer is not
intended to process XML, HTML, or other structured text formats.
to_lower : bool, optional
If... | [
"Tokenize",
"the",
"input",
"SArray",
"of",
"text",
"strings",
"and",
"return",
"the",
"list",
"of",
"tokens",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/text_analytics/_util.py#L412-L478 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/text_analytics/_util.py | bm25 | def bm25(dataset, query, k1=1.5, b=.75):
"""
For a given query and set of documents, compute the BM25 score for each
document. If we have a query with words q_1, ..., q_n the BM25 score for
a document is:
.. math:: \sum_{i=1}^N IDF(q_i)\\frac{f(q_i) * (k_1+1)}{f(q_i) + k_1 * (1-b+b*|D|/d_avg))}... | python | def bm25(dataset, query, k1=1.5, b=.75):
"""
For a given query and set of documents, compute the BM25 score for each
document. If we have a query with words q_1, ..., q_n the BM25 score for
a document is:
.. math:: \sum_{i=1}^N IDF(q_i)\\frac{f(q_i) * (k_1+1)}{f(q_i) + k_1 * (1-b+b*|D|/d_avg))}... | [
"def",
"bm25",
"(",
"dataset",
",",
"query",
",",
"k1",
"=",
"1.5",
",",
"b",
"=",
".75",
")",
":",
"if",
"type",
"(",
"dataset",
")",
"!=",
"_turicreate",
".",
"SArray",
":",
"raise",
"TypeError",
"(",
"'bm25 requires an SArray of dict, list, or str type'",... | For a given query and set of documents, compute the BM25 score for each
document. If we have a query with words q_1, ..., q_n the BM25 score for
a document is:
.. math:: \sum_{i=1}^N IDF(q_i)\\frac{f(q_i) * (k_1+1)}{f(q_i) + k_1 * (1-b+b*|D|/d_avg))}
where
* :math:`\mbox{IDF}(q_i) = log((N - ... | [
"For",
"a",
"given",
"query",
"and",
"set",
"of",
"documents",
"compute",
"the",
"BM25",
"score",
"for",
"each",
"document",
".",
"If",
"we",
"have",
"a",
"query",
"with",
"words",
"q_1",
"...",
"q_n",
"the",
"BM25",
"score",
"for",
"a",
"document",
"i... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/text_analytics/_util.py#L480-L590 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/text_analytics/_util.py | parse_sparse | def parse_sparse(filename, vocab_filename):
"""
Parse a file that's in libSVM format. In libSVM format each line of the text
file represents a document in bag of words format:
num_unique_words_in_doc word_id:count another_id:count
The word_ids have 0-based indexing, i.e. 0 corresponds to the first... | python | def parse_sparse(filename, vocab_filename):
"""
Parse a file that's in libSVM format. In libSVM format each line of the text
file represents a document in bag of words format:
num_unique_words_in_doc word_id:count another_id:count
The word_ids have 0-based indexing, i.e. 0 corresponds to the first... | [
"def",
"parse_sparse",
"(",
"filename",
",",
"vocab_filename",
")",
":",
"vocab",
"=",
"_turicreate",
".",
"SFrame",
".",
"read_csv",
"(",
"vocab_filename",
",",
"header",
"=",
"None",
")",
"[",
"'X1'",
"]",
"vocab",
"=",
"list",
"(",
"vocab",
")",
"docs... | Parse a file that's in libSVM format. In libSVM format each line of the text
file represents a document in bag of words format:
num_unique_words_in_doc word_id:count another_id:count
The word_ids have 0-based indexing, i.e. 0 corresponds to the first
word in the vocab filename.
Parameters
---... | [
"Parse",
"a",
"file",
"that",
"s",
"in",
"libSVM",
"format",
".",
"In",
"libSVM",
"format",
"each",
"line",
"of",
"the",
"text",
"file",
"represents",
"a",
"document",
"in",
"bag",
"of",
"words",
"format",
":"
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/text_analytics/_util.py#L593-L662 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/text_analytics/_util.py | parse_docword | def parse_docword(filename, vocab_filename):
"""
Parse a file that's in "docword" format. This consists of a 3-line header
comprised of the document count, the vocabulary count, and the number of
tokens, i.e. unique (doc_id, word_id) pairs. After the header, each line
contains a space-separated trip... | python | def parse_docword(filename, vocab_filename):
"""
Parse a file that's in "docword" format. This consists of a 3-line header
comprised of the document count, the vocabulary count, and the number of
tokens, i.e. unique (doc_id, word_id) pairs. After the header, each line
contains a space-separated trip... | [
"def",
"parse_docword",
"(",
"filename",
",",
"vocab_filename",
")",
":",
"vocab",
"=",
"_turicreate",
".",
"SFrame",
".",
"read_csv",
"(",
"vocab_filename",
",",
"header",
"=",
"None",
")",
"[",
"'X1'",
"]",
"vocab",
"=",
"list",
"(",
"vocab",
")",
"sf"... | Parse a file that's in "docword" format. This consists of a 3-line header
comprised of the document count, the vocabulary count, and the number of
tokens, i.e. unique (doc_id, word_id) pairs. After the header, each line
contains a space-separated triple of (doc_id, word_id, frequency), where
frequency i... | [
"Parse",
"a",
"file",
"that",
"s",
"in",
"docword",
"format",
".",
"This",
"consists",
"of",
"a",
"3",
"-",
"line",
"header",
"comprised",
"of",
"the",
"document",
"count",
"the",
"vocabulary",
"count",
"and",
"the",
"number",
"of",
"tokens",
"i",
".",
... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/text_analytics/_util.py#L665-L716 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/text_analytics/_util.py | random_split | def random_split(dataset, prob=.5):
"""
Utility for performing a random split for text data that is already in
bag-of-words format. For each (word, count) pair in a particular element,
the counts are uniformly partitioned in either a training set or a test
set.
Parameters
----------
dat... | python | def random_split(dataset, prob=.5):
"""
Utility for performing a random split for text data that is already in
bag-of-words format. For each (word, count) pair in a particular element,
the counts are uniformly partitioned in either a training set or a test
set.
Parameters
----------
dat... | [
"def",
"random_split",
"(",
"dataset",
",",
"prob",
"=",
".5",
")",
":",
"def",
"grab_values",
"(",
"x",
",",
"train",
"=",
"True",
")",
":",
"if",
"train",
":",
"ix",
"=",
"0",
"else",
":",
"ix",
"=",
"1",
"return",
"dict",
"(",
"[",
"(",
"key... | Utility for performing a random split for text data that is already in
bag-of-words format. For each (word, count) pair in a particular element,
the counts are uniformly partitioned in either a training set or a test
set.
Parameters
----------
dataset : SArray of type dict, SFrame with columns ... | [
"Utility",
"for",
"performing",
"a",
"random",
"split",
"for",
"text",
"data",
"that",
"is",
"already",
"in",
"bag",
"-",
"of",
"-",
"words",
"format",
".",
"For",
"each",
"(",
"word",
"count",
")",
"pair",
"in",
"a",
"particular",
"element",
"the",
"c... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/text_analytics/_util.py#L719-L778 | train |
apple/turicreate | src/external/xgboost/python-package/xgboost/training.py | train | def train(params, dtrain, num_boost_round=10, evals=(), obj=None, feval=None,
maximize=False, early_stopping_rounds=None, evals_result=None,
verbose_eval=True, learning_rates=None, xgb_model=None):
# pylint: disable=too-many-statements,too-many-branches, attribute-defined-outside-init
"""Tra... | python | def train(params, dtrain, num_boost_round=10, evals=(), obj=None, feval=None,
maximize=False, early_stopping_rounds=None, evals_result=None,
verbose_eval=True, learning_rates=None, xgb_model=None):
# pylint: disable=too-many-statements,too-many-branches, attribute-defined-outside-init
"""Tra... | [
"def",
"train",
"(",
"params",
",",
"dtrain",
",",
"num_boost_round",
"=",
"10",
",",
"evals",
"=",
"(",
")",
",",
"obj",
"=",
"None",
",",
"feval",
"=",
"None",
",",
"maximize",
"=",
"False",
",",
"early_stopping_rounds",
"=",
"None",
",",
"evals_resu... | Train a booster with given parameters.
Parameters
----------
params : dict
Booster params.
dtrain : DMatrix
Data to be trained.
num_boost_round: int
Number of boosting iterations.
watchlist (evals): list of pairs (DMatrix, string)
List of items to be evaluated du... | [
"Train",
"a",
"booster",
"with",
"given",
"parameters",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/xgboost/python-package/xgboost/training.py#L12-L192 | train |
apple/turicreate | src/external/xgboost/python-package/xgboost/training.py | mknfold | def mknfold(dall, nfold, param, seed, evals=(), fpreproc=None):
"""
Make an n-fold list of CVPack from random indices.
"""
evals = list(evals)
np.random.seed(seed)
randidx = np.random.permutation(dall.num_row())
kstep = len(randidx) / nfold
idset = [randidx[(i * kstep): min(len(randidx),... | python | def mknfold(dall, nfold, param, seed, evals=(), fpreproc=None):
"""
Make an n-fold list of CVPack from random indices.
"""
evals = list(evals)
np.random.seed(seed)
randidx = np.random.permutation(dall.num_row())
kstep = len(randidx) / nfold
idset = [randidx[(i * kstep): min(len(randidx),... | [
"def",
"mknfold",
"(",
"dall",
",",
"nfold",
",",
"param",
",",
"seed",
",",
"evals",
"=",
"(",
")",
",",
"fpreproc",
"=",
"None",
")",
":",
"evals",
"=",
"list",
"(",
"evals",
")",
"np",
".",
"random",
".",
"seed",
"(",
"seed",
")",
"randidx",
... | Make an n-fold list of CVPack from random indices. | [
"Make",
"an",
"n",
"-",
"fold",
"list",
"of",
"CVPack",
"from",
"random",
"indices",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/xgboost/python-package/xgboost/training.py#L213-L233 | train |
apple/turicreate | src/external/xgboost/python-package/xgboost/training.py | aggcv | def aggcv(rlist, show_stdv=True, show_progress=None, as_pandas=True):
# pylint: disable=invalid-name
"""
Aggregate cross-validation results.
"""
cvmap = {}
idx = rlist[0].split()[0]
for line in rlist:
arr = line.split()
assert idx == arr[0]
for it in arr[1:]:
... | python | def aggcv(rlist, show_stdv=True, show_progress=None, as_pandas=True):
# pylint: disable=invalid-name
"""
Aggregate cross-validation results.
"""
cvmap = {}
idx = rlist[0].split()[0]
for line in rlist:
arr = line.split()
assert idx == arr[0]
for it in arr[1:]:
... | [
"def",
"aggcv",
"(",
"rlist",
",",
"show_stdv",
"=",
"True",
",",
"show_progress",
"=",
"None",
",",
"as_pandas",
"=",
"True",
")",
":",
"# pylint: disable=invalid-name",
"cvmap",
"=",
"{",
"}",
"idx",
"=",
"rlist",
"[",
"0",
"]",
".",
"split",
"(",
")... | Aggregate cross-validation results. | [
"Aggregate",
"cross",
"-",
"validation",
"results",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/xgboost/python-package/xgboost/training.py#L236-L291 | train |
apple/turicreate | src/external/xgboost/python-package/xgboost/training.py | cv | def cv(params, dtrain, num_boost_round=10, nfold=3, metrics=(),
obj=None, feval=None, fpreproc=None, as_pandas=True,
show_progress=None, show_stdv=True, seed=0):
# pylint: disable = invalid-name
"""Cross-validation with given paramaters.
Parameters
----------
params : dict
Boo... | python | def cv(params, dtrain, num_boost_round=10, nfold=3, metrics=(),
obj=None, feval=None, fpreproc=None, as_pandas=True,
show_progress=None, show_stdv=True, seed=0):
# pylint: disable = invalid-name
"""Cross-validation with given paramaters.
Parameters
----------
params : dict
Boo... | [
"def",
"cv",
"(",
"params",
",",
"dtrain",
",",
"num_boost_round",
"=",
"10",
",",
"nfold",
"=",
"3",
",",
"metrics",
"=",
"(",
")",
",",
"obj",
"=",
"None",
",",
"feval",
"=",
"None",
",",
"fpreproc",
"=",
"None",
",",
"as_pandas",
"=",
"True",
... | Cross-validation with given paramaters.
Parameters
----------
params : dict
Booster params.
dtrain : DMatrix
Data to be trained.
num_boost_round : int
Number of boosting iterations.
nfold : int
Number of folds in CV.
metrics : list of strings
Evaluati... | [
"Cross",
"-",
"validation",
"with",
"given",
"paramaters",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/xgboost/python-package/xgboost/training.py#L294-L354 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/image_classifier/image_classifier.py | create | def create(dataset, target, feature=None, model = 'resnet-50',
l2_penalty=0.01,
l1_penalty=0.0,
solver='auto', feature_rescaling=True,
convergence_threshold = _DEFAULT_SOLVER_OPTIONS['convergence_threshold'],
step_size = _DEFAULT_SOLVER_OPTIONS['step_size'],
lbfgs_memory_level = _DEFAULT_SOLVER... | python | def create(dataset, target, feature=None, model = 'resnet-50',
l2_penalty=0.01,
l1_penalty=0.0,
solver='auto', feature_rescaling=True,
convergence_threshold = _DEFAULT_SOLVER_OPTIONS['convergence_threshold'],
step_size = _DEFAULT_SOLVER_OPTIONS['step_size'],
lbfgs_memory_level = _DEFAULT_SOLVER... | [
"def",
"create",
"(",
"dataset",
",",
"target",
",",
"feature",
"=",
"None",
",",
"model",
"=",
"'resnet-50'",
",",
"l2_penalty",
"=",
"0.01",
",",
"l1_penalty",
"=",
"0.0",
",",
"solver",
"=",
"'auto'",
",",
"feature_rescaling",
"=",
"True",
",",
"conve... | Create a :class:`ImageClassifier` model.
Parameters
----------
dataset : SFrame
Input data. The column named by the 'feature' parameter will be
extracted for modeling.
target : string, or int
Name of the column containing the target variable. The values in this
column m... | [
"Create",
"a",
":",
"class",
":",
"ImageClassifier",
"model",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/image_classifier/image_classifier.py#L38-L307 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/image_classifier/image_classifier.py | ImageClassifier._get_native_state | def _get_native_state(self):
"""
Save the model as a dictionary, which can be loaded with the
:py:func:`~turicreate.load_model` method.
"""
state = self.__proxy__.get_state()
state['classifier'] = state['classifier'].__proxy__
del state['feature_extractor']
... | python | def _get_native_state(self):
"""
Save the model as a dictionary, which can be loaded with the
:py:func:`~turicreate.load_model` method.
"""
state = self.__proxy__.get_state()
state['classifier'] = state['classifier'].__proxy__
del state['feature_extractor']
... | [
"def",
"_get_native_state",
"(",
"self",
")",
":",
"state",
"=",
"self",
".",
"__proxy__",
".",
"get_state",
"(",
")",
"state",
"[",
"'classifier'",
"]",
"=",
"state",
"[",
"'classifier'",
"]",
".",
"__proxy__",
"del",
"state",
"[",
"'feature_extractor'",
... | Save the model as a dictionary, which can be loaded with the
:py:func:`~turicreate.load_model` method. | [
"Save",
"the",
"model",
"as",
"a",
"dictionary",
"which",
"can",
"be",
"loaded",
"with",
"the",
":",
"py",
":",
"func",
":",
"~turicreate",
".",
"load_model",
"method",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/image_classifier/image_classifier.py#L329-L338 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/image_classifier/image_classifier.py | ImageClassifier._load_version | def _load_version(cls, state, version):
"""
A function to load a previously saved ImageClassifier
instance.
"""
_tkutl._model_version_check(version, cls._PYTHON_IMAGE_CLASSIFIER_VERSION)
from turicreate.toolkits.classifier.logistic_classifier import LogisticClassifier
... | python | def _load_version(cls, state, version):
"""
A function to load a previously saved ImageClassifier
instance.
"""
_tkutl._model_version_check(version, cls._PYTHON_IMAGE_CLASSIFIER_VERSION)
from turicreate.toolkits.classifier.logistic_classifier import LogisticClassifier
... | [
"def",
"_load_version",
"(",
"cls",
",",
"state",
",",
"version",
")",
":",
"_tkutl",
".",
"_model_version_check",
"(",
"version",
",",
"cls",
".",
"_PYTHON_IMAGE_CLASSIFIER_VERSION",
")",
"from",
"turicreate",
".",
"toolkits",
".",
"classifier",
".",
"logistic_... | A function to load a previously saved ImageClassifier
instance. | [
"A",
"function",
"to",
"load",
"a",
"previously",
"saved",
"ImageClassifier",
"instance",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/image_classifier/image_classifier.py#L341-L362 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/image_classifier/image_classifier.py | ImageClassifier.predict | def predict(self, dataset, output_type='class', batch_size=64):
"""
Return predictions for ``dataset``, using the trained logistic
regression model. Predictions can be generated as class labels,
probabilities that the target value is True, or margins (i.e. the
distance of the obs... | python | def predict(self, dataset, output_type='class', batch_size=64):
"""
Return predictions for ``dataset``, using the trained logistic
regression model. Predictions can be generated as class labels,
probabilities that the target value is True, or margins (i.e. the
distance of the obs... | [
"def",
"predict",
"(",
"self",
",",
"dataset",
",",
"output_type",
"=",
"'class'",
",",
"batch_size",
"=",
"64",
")",
":",
"if",
"not",
"isinstance",
"(",
"dataset",
",",
"(",
"_tc",
".",
"SFrame",
",",
"_tc",
".",
"SArray",
",",
"_tc",
".",
"Image",... | Return predictions for ``dataset``, using the trained logistic
regression model. Predictions can be generated as class labels,
probabilities that the target value is True, or margins (i.e. the
distance of the observations from the hyperplane separating the
classes). `probability_vector` ... | [
"Return",
"predictions",
"for",
"dataset",
"using",
"the",
"trained",
"logistic",
"regression",
"model",
".",
"Predictions",
"can",
"be",
"generated",
"as",
"class",
"labels",
"probabilities",
"that",
"the",
"target",
"value",
"is",
"True",
"or",
"margins",
"(",... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/image_classifier/image_classifier.py#L433-L499 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/image_classifier/image_classifier.py | ImageClassifier.predict_topk | def predict_topk(self, dataset, output_type="probability", k=3, batch_size=64):
"""
Return top-k predictions for the ``dataset``, using the trained model.
Predictions are returned as an SFrame with three columns: `id`,
`class`, and `probability`, `margin`, or `rank`, depending on the ``... | python | def predict_topk(self, dataset, output_type="probability", k=3, batch_size=64):
"""
Return top-k predictions for the ``dataset``, using the trained model.
Predictions are returned as an SFrame with three columns: `id`,
`class`, and `probability`, `margin`, or `rank`, depending on the ``... | [
"def",
"predict_topk",
"(",
"self",
",",
"dataset",
",",
"output_type",
"=",
"\"probability\"",
",",
"k",
"=",
"3",
",",
"batch_size",
"=",
"64",
")",
":",
"if",
"not",
"isinstance",
"(",
"dataset",
",",
"(",
"_tc",
".",
"SFrame",
",",
"_tc",
".",
"S... | Return top-k predictions for the ``dataset``, using the trained model.
Predictions are returned as an SFrame with three columns: `id`,
`class`, and `probability`, `margin`, or `rank`, depending on the ``output_type``
parameter. Input dataset size must be the same as for training of the model.
... | [
"Return",
"top",
"-",
"k",
"predictions",
"for",
"the",
"dataset",
"using",
"the",
"trained",
"model",
".",
"Predictions",
"are",
"returned",
"as",
"an",
"SFrame",
"with",
"three",
"columns",
":",
"id",
"class",
"and",
"probability",
"margin",
"or",
"rank",
... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/image_classifier/image_classifier.py#L546-L609 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/image_classifier/image_classifier.py | ImageClassifier.evaluate | def evaluate(self, dataset, metric='auto', verbose=True, batch_size=64):
"""
Evaluate the model by making predictions of target values and comparing
these to actual values.
Parameters
----------
dataset : SFrame
Dataset of new observations. Must include colum... | python | def evaluate(self, dataset, metric='auto', verbose=True, batch_size=64):
"""
Evaluate the model by making predictions of target values and comparing
these to actual values.
Parameters
----------
dataset : SFrame
Dataset of new observations. Must include colum... | [
"def",
"evaluate",
"(",
"self",
",",
"dataset",
",",
"metric",
"=",
"'auto'",
",",
"verbose",
"=",
"True",
",",
"batch_size",
"=",
"64",
")",
":",
"import",
"os",
",",
"json",
",",
"math",
"if",
"(",
"batch_size",
"<",
"1",
")",
":",
"raise",
"Valu... | Evaluate the model by making predictions of target values and comparing
these to actual values.
Parameters
----------
dataset : SFrame
Dataset of new observations. Must include columns with the same
names as the target and features used for model training. Additi... | [
"Evaluate",
"the",
"model",
"by",
"making",
"predictions",
"of",
"target",
"values",
"and",
"comparing",
"these",
"to",
"actual",
"values",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/image_classifier/image_classifier.py#L611-L816 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/image_classifier/image_classifier.py | ImageClassifier.export_coreml | def export_coreml(self, filename):
"""
Save the model in Core ML format.
See Also
--------
save
Examples
--------
>>> model.export_coreml('myModel.mlmodel')
"""
import coremltools
# First define three internal helper functions
... | python | def export_coreml(self, filename):
"""
Save the model in Core ML format.
See Also
--------
save
Examples
--------
>>> model.export_coreml('myModel.mlmodel')
"""
import coremltools
# First define three internal helper functions
... | [
"def",
"export_coreml",
"(",
"self",
",",
"filename",
")",
":",
"import",
"coremltools",
"# First define three internal helper functions",
"# Internal helper function",
"def",
"_create_vision_feature_print_scene",
"(",
")",
":",
"prob_name",
"=",
"self",
".",
"target",
"+... | Save the model in Core ML format.
See Also
--------
save
Examples
--------
>>> model.export_coreml('myModel.mlmodel') | [
"Save",
"the",
"model",
"in",
"Core",
"ML",
"format",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/image_classifier/image_classifier.py#L824-L1021 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/coremltools/converters/keras/_topology2.py | NetGraph.make_input_layers | def make_input_layers(self):
"""
Extract the ordering of the input layers.
"""
self.input_layers = []
in_nodes = self.model._inbound_nodes if hasattr(
self.model,'_inbound_nodes') else self.model.inbound_nodes
if hasattr(self.model, 'input_layers'):
... | python | def make_input_layers(self):
"""
Extract the ordering of the input layers.
"""
self.input_layers = []
in_nodes = self.model._inbound_nodes if hasattr(
self.model,'_inbound_nodes') else self.model.inbound_nodes
if hasattr(self.model, 'input_layers'):
... | [
"def",
"make_input_layers",
"(",
"self",
")",
":",
"self",
".",
"input_layers",
"=",
"[",
"]",
"in_nodes",
"=",
"self",
".",
"model",
".",
"_inbound_nodes",
"if",
"hasattr",
"(",
"self",
".",
"model",
",",
"'_inbound_nodes'",
")",
"else",
"self",
".",
"m... | Extract the ordering of the input layers. | [
"Extract",
"the",
"ordering",
"of",
"the",
"input",
"layers",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/coremltools/converters/keras/_topology2.py#L148-L179 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/coremltools/converters/keras/_topology2.py | NetGraph.make_output_layers | def make_output_layers(self):
"""
Extract the ordering of output layers.
"""
self.output_layers = []
# import pytest; pytest.set_trace()
if hasattr(self.model, 'output_layers'):
# find corresponding output layers in CoreML model
# assume output lay... | python | def make_output_layers(self):
"""
Extract the ordering of output layers.
"""
self.output_layers = []
# import pytest; pytest.set_trace()
if hasattr(self.model, 'output_layers'):
# find corresponding output layers in CoreML model
# assume output lay... | [
"def",
"make_output_layers",
"(",
"self",
")",
":",
"self",
".",
"output_layers",
"=",
"[",
"]",
"# import pytest; pytest.set_trace()",
"if",
"hasattr",
"(",
"self",
".",
"model",
",",
"'output_layers'",
")",
":",
"# find corresponding output layers in CoreML model",
... | Extract the ordering of output layers. | [
"Extract",
"the",
"ordering",
"of",
"output",
"layers",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/coremltools/converters/keras/_topology2.py#L181-L216 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/coremltools/converters/keras/_topology2.py | NetGraph._remove_layer_and_reconnect | def _remove_layer_and_reconnect(self, layer):
""" Remove the layer, and reconnect each of its predecessor to each of
its successor
"""
successors = self.get_successors(layer)
predecessors = self.get_predecessors(layer)
# remove layer's edges
for succ in successors... | python | def _remove_layer_and_reconnect(self, layer):
""" Remove the layer, and reconnect each of its predecessor to each of
its successor
"""
successors = self.get_successors(layer)
predecessors = self.get_predecessors(layer)
# remove layer's edges
for succ in successors... | [
"def",
"_remove_layer_and_reconnect",
"(",
"self",
",",
"layer",
")",
":",
"successors",
"=",
"self",
".",
"get_successors",
"(",
"layer",
")",
"predecessors",
"=",
"self",
".",
"get_predecessors",
"(",
"layer",
")",
"# remove layer's edges",
"for",
"succ",
"in"... | Remove the layer, and reconnect each of its predecessor to each of
its successor | [
"Remove",
"the",
"layer",
"and",
"reconnect",
"each",
"of",
"its",
"predecessor",
"to",
"each",
"of",
"its",
"successor"
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/coremltools/converters/keras/_topology2.py#L387-L421 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/coremltools/converters/keras/_topology2.py | NetGraph.defuse_activation | def defuse_activation(self):
""" Defuse the fused activation layers in the network.
"""
idx, nb_layers = 0, len(self.layer_list)
while idx < nb_layers:
layer = self.layer_list[idx]
k_layer = self.keras_layer_map[layer]
if (isinstance(k_layer, _keras.la... | python | def defuse_activation(self):
""" Defuse the fused activation layers in the network.
"""
idx, nb_layers = 0, len(self.layer_list)
while idx < nb_layers:
layer = self.layer_list[idx]
k_layer = self.keras_layer_map[layer]
if (isinstance(k_layer, _keras.la... | [
"def",
"defuse_activation",
"(",
"self",
")",
":",
"idx",
",",
"nb_layers",
"=",
"0",
",",
"len",
"(",
"self",
".",
"layer_list",
")",
"while",
"idx",
"<",
"nb_layers",
":",
"layer",
"=",
"self",
".",
"layer_list",
"[",
"idx",
"]",
"k_layer",
"=",
"s... | Defuse the fused activation layers in the network. | [
"Defuse",
"the",
"fused",
"activation",
"layers",
"in",
"the",
"network",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/coremltools/converters/keras/_topology2.py#L498-L524 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.date_range | def date_range(cls,start_time,end_time,freq):
'''
Returns a new SArray that represents a fixed frequency datetime index.
Parameters
----------
start_time : datetime.datetime
Left bound for generating dates.
end_time : datetime.datetime
Right bound fo... | python | def date_range(cls,start_time,end_time,freq):
'''
Returns a new SArray that represents a fixed frequency datetime index.
Parameters
----------
start_time : datetime.datetime
Left bound for generating dates.
end_time : datetime.datetime
Right bound fo... | [
"def",
"date_range",
"(",
"cls",
",",
"start_time",
",",
"end_time",
",",
"freq",
")",
":",
"if",
"not",
"isinstance",
"(",
"start_time",
",",
"datetime",
".",
"datetime",
")",
":",
"raise",
"TypeError",
"(",
"\"The ``start_time`` argument must be from type dateti... | Returns a new SArray that represents a fixed frequency datetime index.
Parameters
----------
start_time : datetime.datetime
Left bound for generating dates.
end_time : datetime.datetime
Right bound for generating dates.
freq : datetime.timedelta
F... | [
"Returns",
"a",
"new",
"SArray",
"that",
"represents",
"a",
"fixed",
"frequency",
"datetime",
"index",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L431-L475 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.from_const | def from_const(cls, value, size, dtype=type(None)):
"""
Constructs an SArray of size with a const value.
Parameters
----------
value : [int | float | str | array.array | list | dict | datetime]
The value to fill the SArray
size : int
The size of the S... | python | def from_const(cls, value, size, dtype=type(None)):
"""
Constructs an SArray of size with a const value.
Parameters
----------
value : [int | float | str | array.array | list | dict | datetime]
The value to fill the SArray
size : int
The size of the S... | [
"def",
"from_const",
"(",
"cls",
",",
"value",
",",
"size",
",",
"dtype",
"=",
"type",
"(",
"None",
")",
")",
":",
"assert",
"isinstance",
"(",
"size",
",",
"(",
"int",
",",
"long",
")",
")",
"and",
"size",
">=",
"0",
",",
"\"size must be a positive ... | Constructs an SArray of size with a const value.
Parameters
----------
value : [int | float | str | array.array | list | dict | datetime]
The value to fill the SArray
size : int
The size of the SArray
dtype : type
The type of the SArray. If not spec... | [
"Constructs",
"an",
"SArray",
"of",
"size",
"with",
"a",
"const",
"value",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L478-L508 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.from_sequence | def from_sequence(cls, *args):
"""
from_sequence(start=0, stop)
Create an SArray from sequence
.. sourcecode:: python
Construct an SArray of integer values from 0 to 999
>>> tc.SArray.from_sequence(1000)
This is equivalent, but more efficient than... | python | def from_sequence(cls, *args):
"""
from_sequence(start=0, stop)
Create an SArray from sequence
.. sourcecode:: python
Construct an SArray of integer values from 0 to 999
>>> tc.SArray.from_sequence(1000)
This is equivalent, but more efficient than... | [
"def",
"from_sequence",
"(",
"cls",
",",
"*",
"args",
")",
":",
"start",
"=",
"None",
"stop",
"=",
"None",
"# fill with args. This checks for from_sequence(100), from_sequence(10,100)",
"if",
"len",
"(",
"args",
")",
"==",
"1",
":",
"stop",
"=",
"args",
"[",
"... | from_sequence(start=0, stop)
Create an SArray from sequence
.. sourcecode:: python
Construct an SArray of integer values from 0 to 999
>>> tc.SArray.from_sequence(1000)
This is equivalent, but more efficient than:
>>> tc.SArray(range(1000))
... | [
"from_sequence",
"(",
"start",
"=",
"0",
"stop",
")"
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L511-L563 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.read_json | def read_json(cls, filename):
"""
Construct an SArray from a json file or glob of json files.
The json file must contain a list of dictionaries. The returned
SArray type will be of dict type
Parameters
----------
filename : str
The filename or glob to l... | python | def read_json(cls, filename):
"""
Construct an SArray from a json file or glob of json files.
The json file must contain a list of dictionaries. The returned
SArray type will be of dict type
Parameters
----------
filename : str
The filename or glob to l... | [
"def",
"read_json",
"(",
"cls",
",",
"filename",
")",
":",
"proxy",
"=",
"UnitySArrayProxy",
"(",
")",
"proxy",
".",
"load_from_json_record_files",
"(",
"_make_internal_url",
"(",
"filename",
")",
")",
"return",
"cls",
"(",
"_proxy",
"=",
"proxy",
")"
] | Construct an SArray from a json file or glob of json files.
The json file must contain a list of dictionaries. The returned
SArray type will be of dict type
Parameters
----------
filename : str
The filename or glob to load into an SArray.
Examples
----... | [
"Construct",
"an",
"SArray",
"from",
"a",
"json",
"file",
"or",
"glob",
"of",
"json",
"files",
".",
"The",
"json",
"file",
"must",
"contain",
"a",
"list",
"of",
"dictionaries",
".",
"The",
"returned",
"SArray",
"type",
"will",
"be",
"of",
"dict",
"type"
... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L566-L590 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.where | def where(cls, condition, istrue, isfalse, dtype=None):
"""
Selects elements from either istrue or isfalse depending on the value
of the condition SArray.
Parameters
----------
condition : SArray
An SArray of values such that for each value, if non-zero, yields a... | python | def where(cls, condition, istrue, isfalse, dtype=None):
"""
Selects elements from either istrue or isfalse depending on the value
of the condition SArray.
Parameters
----------
condition : SArray
An SArray of values such that for each value, if non-zero, yields a... | [
"def",
"where",
"(",
"cls",
",",
"condition",
",",
"istrue",
",",
"isfalse",
",",
"dtype",
"=",
"None",
")",
":",
"true_is_sarray",
"=",
"isinstance",
"(",
"istrue",
",",
"SArray",
")",
"false_is_sarray",
"=",
"isinstance",
"(",
"isfalse",
",",
"SArray",
... | Selects elements from either istrue or isfalse depending on the value
of the condition SArray.
Parameters
----------
condition : SArray
An SArray of values such that for each value, if non-zero, yields a
value from istrue, otherwise from isfalse.
istrue : SArray... | [
"Selects",
"elements",
"from",
"either",
"istrue",
"or",
"isfalse",
"depending",
"on",
"the",
"value",
"of",
"the",
"condition",
"SArray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L593-L675 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.save | def save(self, filename, format=None):
"""
Saves the SArray to file.
The saved SArray will be in a directory named with the `targetfile`
parameter.
Parameters
----------
filename : string
A local path or a remote URL. If format is 'text', it will be... | python | def save(self, filename, format=None):
"""
Saves the SArray to file.
The saved SArray will be in a directory named with the `targetfile`
parameter.
Parameters
----------
filename : string
A local path or a remote URL. If format is 'text', it will be... | [
"def",
"save",
"(",
"self",
",",
"filename",
",",
"format",
"=",
"None",
")",
":",
"from",
".",
"sframe",
"import",
"SFrame",
"as",
"_SFrame",
"if",
"format",
"is",
"None",
":",
"if",
"filename",
".",
"endswith",
"(",
"(",
"'.csv'",
",",
"'.csv.gz'",
... | Saves the SArray to file.
The saved SArray will be in a directory named with the `targetfile`
parameter.
Parameters
----------
filename : string
A local path or a remote URL. If format is 'text', it will be
saved as a text file. If format is 'binary', a... | [
"Saves",
"the",
"SArray",
"to",
"file",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L705-L743 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.vector_slice | def vector_slice(self, start, end=None):
"""
If this SArray contains vectors or lists, this returns a new SArray
containing each individual element sliced, between start and
end (exclusive).
Parameters
----------
start : int
The start position of the ... | python | def vector_slice(self, start, end=None):
"""
If this SArray contains vectors or lists, this returns a new SArray
containing each individual element sliced, between start and
end (exclusive).
Parameters
----------
start : int
The start position of the ... | [
"def",
"vector_slice",
"(",
"self",
",",
"start",
",",
"end",
"=",
"None",
")",
":",
"if",
"(",
"self",
".",
"dtype",
"!=",
"array",
".",
"array",
")",
"and",
"(",
"self",
".",
"dtype",
"!=",
"list",
")",
":",
"raise",
"RuntimeError",
"(",
"\"Only ... | If this SArray contains vectors or lists, this returns a new SArray
containing each individual element sliced, between start and
end (exclusive).
Parameters
----------
start : int
The start position of the slice.
end : int, optional.
The end posi... | [
"If",
"this",
"SArray",
"contains",
"vectors",
"or",
"lists",
"this",
"returns",
"a",
"new",
"SArray",
"containing",
"each",
"individual",
"element",
"sliced",
"between",
"start",
"and",
"end",
"(",
"exclusive",
")",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L1370-L1451 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.element_slice | def element_slice(self, start=None, stop=None, step=None):
"""
This returns an SArray with each element sliced accordingly to the
slice specified. This is conceptually equivalent to:
>>> g.apply(lambda x: x[start:step:stop])
The SArray must be of type list, vector, or string.
... | python | def element_slice(self, start=None, stop=None, step=None):
"""
This returns an SArray with each element sliced accordingly to the
slice specified. This is conceptually equivalent to:
>>> g.apply(lambda x: x[start:step:stop])
The SArray must be of type list, vector, or string.
... | [
"def",
"element_slice",
"(",
"self",
",",
"start",
"=",
"None",
",",
"stop",
"=",
"None",
",",
"step",
"=",
"None",
")",
":",
"if",
"self",
".",
"dtype",
"not",
"in",
"[",
"str",
",",
"array",
".",
"array",
",",
"list",
"]",
":",
"raise",
"TypeEr... | This returns an SArray with each element sliced accordingly to the
slice specified. This is conceptually equivalent to:
>>> g.apply(lambda x: x[start:step:stop])
The SArray must be of type list, vector, or string.
For instance:
>>> g = SArray(["abcdef","qwerty"])
>>> ... | [
"This",
"returns",
"an",
"SArray",
"with",
"each",
"element",
"sliced",
"accordingly",
"to",
"the",
"slice",
"specified",
".",
"This",
"is",
"conceptually",
"equivalent",
"to",
":"
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L1453-L1504 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray._count_words | def _count_words(self, to_lower=True, delimiters=["\r", "\v", "\n", "\f", "\t", " "]):
"""
This returns an SArray with, for each input string, a dict from the unique,
delimited substrings to their number of occurrences within the original
string.
The SArray must be of type strin... | python | def _count_words(self, to_lower=True, delimiters=["\r", "\v", "\n", "\f", "\t", " "]):
"""
This returns an SArray with, for each input string, a dict from the unique,
delimited substrings to their number of occurrences within the original
string.
The SArray must be of type strin... | [
"def",
"_count_words",
"(",
"self",
",",
"to_lower",
"=",
"True",
",",
"delimiters",
"=",
"[",
"\"\\r\"",
",",
"\"\\v\"",
",",
"\"\\n\"",
",",
"\"\\f\"",
",",
"\"\\t\"",
",",
"\" \"",
"]",
")",
":",
"if",
"(",
"self",
".",
"dtype",
"!=",
"str",
")",
... | This returns an SArray with, for each input string, a dict from the unique,
delimited substrings to their number of occurrences within the original
string.
The SArray must be of type string.
..WARNING:: This function is deprecated, and will be removed in future
versions of Turi... | [
"This",
"returns",
"an",
"SArray",
"with",
"for",
"each",
"input",
"string",
"a",
"dict",
"from",
"the",
"unique",
"delimited",
"substrings",
"to",
"their",
"number",
"of",
"occurrences",
"within",
"the",
"original",
"string",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L1506-L1558 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray._count_ngrams | def _count_ngrams(self, n=2, method="word", to_lower=True, ignore_space=True):
"""
For documentation, see turicreate.text_analytics.count_ngrams().
..WARNING:: This function is deprecated, and will be removed in future
versions of Turi Create. Please use the `text_analytics.count_words`... | python | def _count_ngrams(self, n=2, method="word", to_lower=True, ignore_space=True):
"""
For documentation, see turicreate.text_analytics.count_ngrams().
..WARNING:: This function is deprecated, and will be removed in future
versions of Turi Create. Please use the `text_analytics.count_words`... | [
"def",
"_count_ngrams",
"(",
"self",
",",
"n",
"=",
"2",
",",
"method",
"=",
"\"word\"",
",",
"to_lower",
"=",
"True",
",",
"ignore_space",
"=",
"True",
")",
":",
"if",
"(",
"self",
".",
"dtype",
"!=",
"str",
")",
":",
"raise",
"TypeError",
"(",
"\... | For documentation, see turicreate.text_analytics.count_ngrams().
..WARNING:: This function is deprecated, and will be removed in future
versions of Turi Create. Please use the `text_analytics.count_words`
function instead. | [
"For",
"documentation",
"see",
"turicreate",
".",
"text_analytics",
".",
"count_ngrams",
"()",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L1560-L1594 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.dict_trim_by_keys | def dict_trim_by_keys(self, keys, exclude=True):
"""
Filter an SArray of dictionary type by the given keys. By default, all
keys that are in the provided list in ``keys`` are *excluded* from the
returned SArray.
Parameters
----------
keys : list
A col... | python | def dict_trim_by_keys(self, keys, exclude=True):
"""
Filter an SArray of dictionary type by the given keys. By default, all
keys that are in the provided list in ``keys`` are *excluded* from the
returned SArray.
Parameters
----------
keys : list
A col... | [
"def",
"dict_trim_by_keys",
"(",
"self",
",",
"keys",
",",
"exclude",
"=",
"True",
")",
":",
"if",
"not",
"_is_non_string_iterable",
"(",
"keys",
")",
":",
"keys",
"=",
"[",
"keys",
"]",
"with",
"cython_context",
"(",
")",
":",
"return",
"SArray",
"(",
... | Filter an SArray of dictionary type by the given keys. By default, all
keys that are in the provided list in ``keys`` are *excluded* from the
returned SArray.
Parameters
----------
keys : list
A collection of keys to trim down the elements in the SArray.
exc... | [
"Filter",
"an",
"SArray",
"of",
"dictionary",
"type",
"by",
"the",
"given",
"keys",
".",
"By",
"default",
"all",
"keys",
"that",
"are",
"in",
"the",
"provided",
"list",
"in",
"keys",
"are",
"*",
"excluded",
"*",
"from",
"the",
"returned",
"SArray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L1596-L1635 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.dict_trim_by_values | def dict_trim_by_values(self, lower=None, upper=None):
"""
Filter dictionary values to a given range (inclusive). Trimming is only
performed on values which can be compared to the bound values. Fails on
SArrays whose data type is not ``dict``.
Parameters
----------
... | python | def dict_trim_by_values(self, lower=None, upper=None):
"""
Filter dictionary values to a given range (inclusive). Trimming is only
performed on values which can be compared to the bound values. Fails on
SArrays whose data type is not ``dict``.
Parameters
----------
... | [
"def",
"dict_trim_by_values",
"(",
"self",
",",
"lower",
"=",
"None",
",",
"upper",
"=",
"None",
")",
":",
"if",
"not",
"(",
"lower",
"is",
"None",
"or",
"isinstance",
"(",
"lower",
",",
"numbers",
".",
"Number",
")",
")",
":",
"raise",
"TypeError",
... | Filter dictionary values to a given range (inclusive). Trimming is only
performed on values which can be compared to the bound values. Fails on
SArrays whose data type is not ``dict``.
Parameters
----------
lower : int or long or float, optional
The lowest dictionary... | [
"Filter",
"dictionary",
"values",
"to",
"a",
"given",
"range",
"(",
"inclusive",
")",
".",
"Trimming",
"is",
"only",
"performed",
"on",
"values",
"which",
"can",
"be",
"compared",
"to",
"the",
"bound",
"values",
".",
"Fails",
"on",
"SArrays",
"whose",
"dat... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L1637-L1686 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.dict_has_any_keys | def dict_has_any_keys(self, keys):
"""
Create a boolean SArray by checking the keys of an SArray of
dictionaries. An element of the output SArray is True if the
corresponding input element's dictionary has any of the given keys.
Fails on SArrays whose data type is not ``dict``.
... | python | def dict_has_any_keys(self, keys):
"""
Create a boolean SArray by checking the keys of an SArray of
dictionaries. An element of the output SArray is True if the
corresponding input element's dictionary has any of the given keys.
Fails on SArrays whose data type is not ``dict``.
... | [
"def",
"dict_has_any_keys",
"(",
"self",
",",
"keys",
")",
":",
"if",
"not",
"_is_non_string_iterable",
"(",
"keys",
")",
":",
"keys",
"=",
"[",
"keys",
"]",
"with",
"cython_context",
"(",
")",
":",
"return",
"SArray",
"(",
"_proxy",
"=",
"self",
".",
... | Create a boolean SArray by checking the keys of an SArray of
dictionaries. An element of the output SArray is True if the
corresponding input element's dictionary has any of the given keys.
Fails on SArrays whose data type is not ``dict``.
Parameters
----------
keys : li... | [
"Create",
"a",
"boolean",
"SArray",
"by",
"checking",
"the",
"keys",
"of",
"an",
"SArray",
"of",
"dictionaries",
".",
"An",
"element",
"of",
"the",
"output",
"SArray",
"is",
"True",
"if",
"the",
"corresponding",
"input",
"element",
"s",
"dictionary",
"has",
... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L1745-L1781 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.dict_has_all_keys | def dict_has_all_keys(self, keys):
"""
Create a boolean SArray by checking the keys of an SArray of
dictionaries. An element of the output SArray is True if the
corresponding input element's dictionary has all of the given keys.
Fails on SArrays whose data type is not ``dict``.
... | python | def dict_has_all_keys(self, keys):
"""
Create a boolean SArray by checking the keys of an SArray of
dictionaries. An element of the output SArray is True if the
corresponding input element's dictionary has all of the given keys.
Fails on SArrays whose data type is not ``dict``.
... | [
"def",
"dict_has_all_keys",
"(",
"self",
",",
"keys",
")",
":",
"if",
"not",
"_is_non_string_iterable",
"(",
"keys",
")",
":",
"keys",
"=",
"[",
"keys",
"]",
"with",
"cython_context",
"(",
")",
":",
"return",
"SArray",
"(",
"_proxy",
"=",
"self",
".",
... | Create a boolean SArray by checking the keys of an SArray of
dictionaries. An element of the output SArray is True if the
corresponding input element's dictionary has all of the given keys.
Fails on SArrays whose data type is not ``dict``.
Parameters
----------
keys : li... | [
"Create",
"a",
"boolean",
"SArray",
"by",
"checking",
"the",
"keys",
"of",
"an",
"SArray",
"of",
"dictionaries",
".",
"An",
"element",
"of",
"the",
"output",
"SArray",
"is",
"True",
"if",
"the",
"corresponding",
"input",
"element",
"s",
"dictionary",
"has",
... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L1783-L1819 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.apply | def apply(self, fn, dtype=None, skip_na=True, seed=None):
"""
apply(fn, dtype=None, skip_na=True, seed=None)
Transform each element of the SArray by a given function. The result
SArray is of type ``dtype``. ``fn`` should be a function that returns
exactly one value which can be ... | python | def apply(self, fn, dtype=None, skip_na=True, seed=None):
"""
apply(fn, dtype=None, skip_na=True, seed=None)
Transform each element of the SArray by a given function. The result
SArray is of type ``dtype``. ``fn`` should be a function that returns
exactly one value which can be ... | [
"def",
"apply",
"(",
"self",
",",
"fn",
",",
"dtype",
"=",
"None",
",",
"skip_na",
"=",
"True",
",",
"seed",
"=",
"None",
")",
":",
"assert",
"callable",
"(",
"fn",
")",
",",
"\"Input function must be callable.\"",
"dryrun",
"=",
"[",
"fn",
"(",
"i",
... | apply(fn, dtype=None, skip_na=True, seed=None)
Transform each element of the SArray by a given function. The result
SArray is of type ``dtype``. ``fn`` should be a function that returns
exactly one value which can be cast into the type specified by
``dtype``. If ``dtype`` is not specifi... | [
"apply",
"(",
"fn",
"dtype",
"=",
"None",
"skip_na",
"=",
"True",
"seed",
"=",
"None",
")"
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L1821-L1920 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.filter | def filter(self, fn, skip_na=True, seed=None):
"""
Filter this SArray by a function.
Returns a new SArray filtered by this SArray. If `fn` evaluates an
element to true, this element is copied to the new SArray. If not, it
isn't. Throws an exception if the return type of `fn` is... | python | def filter(self, fn, skip_na=True, seed=None):
"""
Filter this SArray by a function.
Returns a new SArray filtered by this SArray. If `fn` evaluates an
element to true, this element is copied to the new SArray. If not, it
isn't. Throws an exception if the return type of `fn` is... | [
"def",
"filter",
"(",
"self",
",",
"fn",
",",
"skip_na",
"=",
"True",
",",
"seed",
"=",
"None",
")",
":",
"assert",
"callable",
"(",
"fn",
")",
",",
"\"Input must be callable\"",
"if",
"seed",
"is",
"None",
":",
"seed",
"=",
"abs",
"(",
"hash",
"(",
... | Filter this SArray by a function.
Returns a new SArray filtered by this SArray. If `fn` evaluates an
element to true, this element is copied to the new SArray. If not, it
isn't. Throws an exception if the return type of `fn` is not castable
to a boolean value.
Parameters
... | [
"Filter",
"this",
"SArray",
"by",
"a",
"function",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L1923-L1963 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.sample | def sample(self, fraction, seed=None, exact=False):
"""
Create an SArray which contains a subsample of the current SArray.
Parameters
----------
fraction : float
Fraction of the rows to fetch. Must be between 0 and 1.
if exact is False (default), the numb... | python | def sample(self, fraction, seed=None, exact=False):
"""
Create an SArray which contains a subsample of the current SArray.
Parameters
----------
fraction : float
Fraction of the rows to fetch. Must be between 0 and 1.
if exact is False (default), the numb... | [
"def",
"sample",
"(",
"self",
",",
"fraction",
",",
"seed",
"=",
"None",
",",
"exact",
"=",
"False",
")",
":",
"if",
"(",
"fraction",
">",
"1",
"or",
"fraction",
"<",
"0",
")",
":",
"raise",
"ValueError",
"(",
"'Invalid sampling rate: '",
"+",
"str",
... | Create an SArray which contains a subsample of the current SArray.
Parameters
----------
fraction : float
Fraction of the rows to fetch. Must be between 0 and 1.
if exact is False (default), the number of rows returned is
approximately the fraction times the ... | [
"Create",
"an",
"SArray",
"which",
"contains",
"a",
"subsample",
"of",
"the",
"current",
"SArray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L1966-L2006 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.hash | def hash(self, seed=0):
"""
Returns an SArray with a hash of each element. seed can be used
to change the hash function to allow this method to be used for
random number generation.
Parameters
----------
seed : int
Defaults to 0. Can be changed to dif... | python | def hash(self, seed=0):
"""
Returns an SArray with a hash of each element. seed can be used
to change the hash function to allow this method to be used for
random number generation.
Parameters
----------
seed : int
Defaults to 0. Can be changed to dif... | [
"def",
"hash",
"(",
"self",
",",
"seed",
"=",
"0",
")",
":",
"with",
"cython_context",
"(",
")",
":",
"return",
"SArray",
"(",
"_proxy",
"=",
"self",
".",
"__proxy__",
".",
"hash",
"(",
"seed",
")",
")"
] | Returns an SArray with a hash of each element. seed can be used
to change the hash function to allow this method to be used for
random number generation.
Parameters
----------
seed : int
Defaults to 0. Can be changed to different values to get
different h... | [
"Returns",
"an",
"SArray",
"with",
"a",
"hash",
"of",
"each",
"element",
".",
"seed",
"can",
"be",
"used",
"to",
"change",
"the",
"hash",
"function",
"to",
"allow",
"this",
"method",
"to",
"be",
"used",
"for",
"random",
"number",
"generation",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L2008-L2027 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.random_integers | def random_integers(cls, size, seed=None):
"""
Returns an SArray with random integer values.
"""
if seed is None:
seed = abs(hash("%0.20f" % time.time())) % (2 ** 31)
return cls.from_sequence(size).hash(seed) | python | def random_integers(cls, size, seed=None):
"""
Returns an SArray with random integer values.
"""
if seed is None:
seed = abs(hash("%0.20f" % time.time())) % (2 ** 31)
return cls.from_sequence(size).hash(seed) | [
"def",
"random_integers",
"(",
"cls",
",",
"size",
",",
"seed",
"=",
"None",
")",
":",
"if",
"seed",
"is",
"None",
":",
"seed",
"=",
"abs",
"(",
"hash",
"(",
"\"%0.20f\"",
"%",
"time",
".",
"time",
"(",
")",
")",
")",
"%",
"(",
"2",
"**",
"31",... | Returns an SArray with random integer values. | [
"Returns",
"an",
"SArray",
"with",
"random",
"integer",
"values",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L2030-L2036 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.argmin | def argmin(self):
"""
Get the index of the minimum numeric value in SArray.
Returns None on an empty SArray. Raises an exception if called on an
SArray with non-numeric type.
Returns
-------
out : int
index of the minimum value of SArray
See... | python | def argmin(self):
"""
Get the index of the minimum numeric value in SArray.
Returns None on an empty SArray. Raises an exception if called on an
SArray with non-numeric type.
Returns
-------
out : int
index of the minimum value of SArray
See... | [
"def",
"argmin",
"(",
"self",
")",
":",
"from",
".",
"sframe",
"import",
"SFrame",
"as",
"_SFrame",
"if",
"len",
"(",
"self",
")",
"==",
"0",
":",
"return",
"None",
"if",
"not",
"any",
"(",
"[",
"isinstance",
"(",
"self",
"[",
"0",
"]",
",",
"i",... | Get the index of the minimum numeric value in SArray.
Returns None on an empty SArray. Raises an exception if called on an
SArray with non-numeric type.
Returns
-------
out : int
index of the minimum value of SArray
See Also
--------
argmax
... | [
"Get",
"the",
"index",
"of",
"the",
"minimum",
"numeric",
"value",
"in",
"SArray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L2201-L2231 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.mean | def mean(self):
"""
Mean of all the values in the SArray, or mean image.
Returns None on an empty SArray. Raises an exception if called on an
SArray with non-numeric type or non-Image type.
Returns
-------
out : float | turicreate.Image
Mean of all v... | python | def mean(self):
"""
Mean of all the values in the SArray, or mean image.
Returns None on an empty SArray. Raises an exception if called on an
SArray with non-numeric type or non-Image type.
Returns
-------
out : float | turicreate.Image
Mean of all v... | [
"def",
"mean",
"(",
"self",
")",
":",
"with",
"cython_context",
"(",
")",
":",
"if",
"self",
".",
"dtype",
"==",
"_Image",
":",
"from",
".",
".",
"import",
"extensions",
"return",
"extensions",
".",
"generate_mean",
"(",
"self",
")",
"else",
":",
"retu... | Mean of all the values in the SArray, or mean image.
Returns None on an empty SArray. Raises an exception if called on an
SArray with non-numeric type or non-Image type.
Returns
-------
out : float | turicreate.Image
Mean of all values in SArray, or image holding pe... | [
"Mean",
"of",
"all",
"the",
"values",
"in",
"the",
"SArray",
"or",
"mean",
"image",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L2252-L2270 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.datetime_to_str | def datetime_to_str(self,format="%Y-%m-%dT%H:%M:%S%ZP"):
"""
Create a new SArray with all the values cast to str. The string format is
specified by the 'format' parameter.
Parameters
----------
format : str
The format to output the string. Default format is "... | python | def datetime_to_str(self,format="%Y-%m-%dT%H:%M:%S%ZP"):
"""
Create a new SArray with all the values cast to str. The string format is
specified by the 'format' parameter.
Parameters
----------
format : str
The format to output the string. Default format is "... | [
"def",
"datetime_to_str",
"(",
"self",
",",
"format",
"=",
"\"%Y-%m-%dT%H:%M:%S%ZP\"",
")",
":",
"if",
"(",
"self",
".",
"dtype",
"!=",
"datetime",
".",
"datetime",
")",
":",
"raise",
"TypeError",
"(",
"\"datetime_to_str expects SArray of datetime as input SArray\"",
... | Create a new SArray with all the values cast to str. The string format is
specified by the 'format' parameter.
Parameters
----------
format : str
The format to output the string. Default format is "%Y-%m-%dT%H:%M:%S%ZP".
Returns
-------
out : SArray[... | [
"Create",
"a",
"new",
"SArray",
"with",
"all",
"the",
"values",
"cast",
"to",
"str",
".",
"The",
"string",
"format",
"is",
"specified",
"by",
"the",
"format",
"parameter",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L2338-L2375 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.str_to_datetime | def str_to_datetime(self,format="%Y-%m-%dT%H:%M:%S%ZP"):
"""
Create a new SArray with all the values cast to datetime. The string format is
specified by the 'format' parameter.
Parameters
----------
format : str
The string format of the input SArray. Default ... | python | def str_to_datetime(self,format="%Y-%m-%dT%H:%M:%S%ZP"):
"""
Create a new SArray with all the values cast to datetime. The string format is
specified by the 'format' parameter.
Parameters
----------
format : str
The string format of the input SArray. Default ... | [
"def",
"str_to_datetime",
"(",
"self",
",",
"format",
"=",
"\"%Y-%m-%dT%H:%M:%S%ZP\"",
")",
":",
"if",
"(",
"self",
".",
"dtype",
"!=",
"str",
")",
":",
"raise",
"TypeError",
"(",
"\"str_to_datetime expects SArray of str as input SArray\"",
")",
"with",
"cython_cont... | Create a new SArray with all the values cast to datetime. The string format is
specified by the 'format' parameter.
Parameters
----------
format : str
The string format of the input SArray. Default format is "%Y-%m-%dT%H:%M:%S%ZP".
If format is "ISO", the the for... | [
"Create",
"a",
"new",
"SArray",
"with",
"all",
"the",
"values",
"cast",
"to",
"datetime",
".",
"The",
"string",
"format",
"is",
"specified",
"by",
"the",
"format",
"parameter",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L2377-L2413 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.pixel_array_to_image | def pixel_array_to_image(self, width, height, channels, undefined_on_failure=True, allow_rounding=False):
"""
Create a new SArray with all the values cast to :py:class:`turicreate.image.Image`
of uniform size.
Parameters
----------
width: int
The width of the... | python | def pixel_array_to_image(self, width, height, channels, undefined_on_failure=True, allow_rounding=False):
"""
Create a new SArray with all the values cast to :py:class:`turicreate.image.Image`
of uniform size.
Parameters
----------
width: int
The width of the... | [
"def",
"pixel_array_to_image",
"(",
"self",
",",
"width",
",",
"height",
",",
"channels",
",",
"undefined_on_failure",
"=",
"True",
",",
"allow_rounding",
"=",
"False",
")",
":",
"if",
"(",
"self",
".",
"dtype",
"!=",
"array",
".",
"array",
")",
":",
"ra... | Create a new SArray with all the values cast to :py:class:`turicreate.image.Image`
of uniform size.
Parameters
----------
width: int
The width of the new images.
height: int
The height of the new images.
channels: int.
Number of chan... | [
"Create",
"a",
"new",
"SArray",
"with",
"all",
"the",
"values",
"cast",
"to",
":",
"py",
":",
"class",
":",
"turicreate",
".",
"image",
".",
"Image",
"of",
"uniform",
"size",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L2415-L2478 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.astype | def astype(self, dtype, undefined_on_failure=False):
"""
Create a new SArray with all values cast to the given type. Throws an
exception if the types are not castable to the given type.
Parameters
----------
dtype : {int, float, str, list, array.array, dict, datetime.dat... | python | def astype(self, dtype, undefined_on_failure=False):
"""
Create a new SArray with all values cast to the given type. Throws an
exception if the types are not castable to the given type.
Parameters
----------
dtype : {int, float, str, list, array.array, dict, datetime.dat... | [
"def",
"astype",
"(",
"self",
",",
"dtype",
",",
"undefined_on_failure",
"=",
"False",
")",
":",
"if",
"(",
"dtype",
"==",
"_Image",
")",
"and",
"(",
"self",
".",
"dtype",
"==",
"array",
".",
"array",
")",
":",
"raise",
"TypeError",
"(",
"\"Cannot cast... | Create a new SArray with all values cast to the given type. Throws an
exception if the types are not castable to the given type.
Parameters
----------
dtype : {int, float, str, list, array.array, dict, datetime.datetime}
The type to cast the elements to in SArray
un... | [
"Create",
"a",
"new",
"SArray",
"with",
"all",
"values",
"cast",
"to",
"the",
"given",
"type",
".",
"Throws",
"an",
"exception",
"if",
"the",
"types",
"are",
"not",
"castable",
"to",
"the",
"given",
"type",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L2480-L2531 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.clip | def clip(self, lower=float('nan'), upper=float('nan')):
"""
Create a new SArray with each value clipped to be within the given
bounds.
In this case, "clipped" means that values below the lower bound will be
set to the lower bound value. Values above the upper bound will be set
... | python | def clip(self, lower=float('nan'), upper=float('nan')):
"""
Create a new SArray with each value clipped to be within the given
bounds.
In this case, "clipped" means that values below the lower bound will be
set to the lower bound value. Values above the upper bound will be set
... | [
"def",
"clip",
"(",
"self",
",",
"lower",
"=",
"float",
"(",
"'nan'",
")",
",",
"upper",
"=",
"float",
"(",
"'nan'",
")",
")",
":",
"with",
"cython_context",
"(",
")",
":",
"return",
"SArray",
"(",
"_proxy",
"=",
"self",
".",
"__proxy__",
".",
"cli... | Create a new SArray with each value clipped to be within the given
bounds.
In this case, "clipped" means that values below the lower bound will be
set to the lower bound value. Values above the upper bound will be set
to the upper bound value. This function can operate on SArrays of
... | [
"Create",
"a",
"new",
"SArray",
"with",
"each",
"value",
"clipped",
"to",
"be",
"within",
"the",
"given",
"bounds",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L2533-L2573 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.clip_lower | def clip_lower(self, threshold):
"""
Create new SArray with all values clipped to the given lower bound. This
function can operate on numeric arrays, as well as vector arrays, in
which case each individual element in each vector is clipped. Throws an
exception if the SArray is em... | python | def clip_lower(self, threshold):
"""
Create new SArray with all values clipped to the given lower bound. This
function can operate on numeric arrays, as well as vector arrays, in
which case each individual element in each vector is clipped. Throws an
exception if the SArray is em... | [
"def",
"clip_lower",
"(",
"self",
",",
"threshold",
")",
":",
"with",
"cython_context",
"(",
")",
":",
"return",
"SArray",
"(",
"_proxy",
"=",
"self",
".",
"__proxy__",
".",
"clip",
"(",
"threshold",
",",
"float",
"(",
"'nan'",
")",
")",
")"
] | Create new SArray with all values clipped to the given lower bound. This
function can operate on numeric arrays, as well as vector arrays, in
which case each individual element in each vector is clipped. Throws an
exception if the SArray is empty or the types are non-numeric.
Parameters... | [
"Create",
"new",
"SArray",
"with",
"all",
"values",
"clipped",
"to",
"the",
"given",
"lower",
"bound",
".",
"This",
"function",
"can",
"operate",
"on",
"numeric",
"arrays",
"as",
"well",
"as",
"vector",
"arrays",
"in",
"which",
"case",
"each",
"individual",
... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L2575-L2604 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.tail | def tail(self, n=10):
"""
Get an SArray that contains the last n elements in the SArray.
Parameters
----------
n : int
The number of elements to fetch
Returns
-------
out : SArray
A new SArray which contains the last n rows of the... | python | def tail(self, n=10):
"""
Get an SArray that contains the last n elements in the SArray.
Parameters
----------
n : int
The number of elements to fetch
Returns
-------
out : SArray
A new SArray which contains the last n rows of the... | [
"def",
"tail",
"(",
"self",
",",
"n",
"=",
"10",
")",
":",
"with",
"cython_context",
"(",
")",
":",
"return",
"SArray",
"(",
"_proxy",
"=",
"self",
".",
"__proxy__",
".",
"tail",
"(",
"n",
")",
")"
] | Get an SArray that contains the last n elements in the SArray.
Parameters
----------
n : int
The number of elements to fetch
Returns
-------
out : SArray
A new SArray which contains the last n rows of the current SArray. | [
"Get",
"an",
"SArray",
"that",
"contains",
"the",
"last",
"n",
"elements",
"in",
"the",
"SArray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L2637-L2652 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.fillna | def fillna(self, value):
"""
Create new SArray with all missing values (None or NaN) filled in
with the given value.
The size of the new SArray will be the same as the original SArray. If
the given value is not the same type as the values in the SArray,
`fillna` will att... | python | def fillna(self, value):
"""
Create new SArray with all missing values (None or NaN) filled in
with the given value.
The size of the new SArray will be the same as the original SArray. If
the given value is not the same type as the values in the SArray,
`fillna` will att... | [
"def",
"fillna",
"(",
"self",
",",
"value",
")",
":",
"with",
"cython_context",
"(",
")",
":",
"return",
"SArray",
"(",
"_proxy",
"=",
"self",
".",
"__proxy__",
".",
"fill_missing_values",
"(",
"value",
")",
")"
] | Create new SArray with all missing values (None or NaN) filled in
with the given value.
The size of the new SArray will be the same as the original SArray. If
the given value is not the same type as the values in the SArray,
`fillna` will attempt to convert the value to the original SAr... | [
"Create",
"new",
"SArray",
"with",
"all",
"missing",
"values",
"(",
"None",
"or",
"NaN",
")",
"filled",
"in",
"with",
"the",
"given",
"value",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L2673-L2695 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.is_topk | def is_topk(self, topk=10, reverse=False):
"""
Create an SArray indicating which elements are in the top k.
Entries are '1' if the corresponding element in the current SArray is a
part of the top k elements, and '0' if that corresponding element is
not. Order is descending by de... | python | def is_topk(self, topk=10, reverse=False):
"""
Create an SArray indicating which elements are in the top k.
Entries are '1' if the corresponding element in the current SArray is a
part of the top k elements, and '0' if that corresponding element is
not. Order is descending by de... | [
"def",
"is_topk",
"(",
"self",
",",
"topk",
"=",
"10",
",",
"reverse",
"=",
"False",
")",
":",
"with",
"cython_context",
"(",
")",
":",
"return",
"SArray",
"(",
"_proxy",
"=",
"self",
".",
"__proxy__",
".",
"topk_index",
"(",
"topk",
",",
"reverse",
... | Create an SArray indicating which elements are in the top k.
Entries are '1' if the corresponding element in the current SArray is a
part of the top k elements, and '0' if that corresponding element is
not. Order is descending by default.
Parameters
----------
topk : in... | [
"Create",
"an",
"SArray",
"indicating",
"which",
"elements",
"are",
"in",
"the",
"top",
"k",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L2697-L2722 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.summary | def summary(self, background=False, sub_sketch_keys=None):
"""
Summary statistics that can be calculated with one pass over the SArray.
Returns a turicreate.Sketch object which can be further queried for many
descriptive statistics over this SArray. Many of the statistics are
ap... | python | def summary(self, background=False, sub_sketch_keys=None):
"""
Summary statistics that can be calculated with one pass over the SArray.
Returns a turicreate.Sketch object which can be further queried for many
descriptive statistics over this SArray. Many of the statistics are
ap... | [
"def",
"summary",
"(",
"self",
",",
"background",
"=",
"False",
",",
"sub_sketch_keys",
"=",
"None",
")",
":",
"from",
".",
".",
"data_structures",
".",
"sketch",
"import",
"Sketch",
"if",
"(",
"self",
".",
"dtype",
"==",
"_Image",
")",
":",
"raise",
"... | Summary statistics that can be calculated with one pass over the SArray.
Returns a turicreate.Sketch object which can be further queried for many
descriptive statistics over this SArray. Many of the statistics are
approximate. See the :class:`~turicreate.Sketch` documentation for more
d... | [
"Summary",
"statistics",
"that",
"can",
"be",
"calculated",
"with",
"one",
"pass",
"over",
"the",
"SArray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L2724-L2775 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.value_counts | def value_counts(self):
"""
Return an SFrame containing counts of unique values. The resulting
SFrame will be sorted in descending frequency.
Returns
-------
out : SFrame
An SFrame containing 2 columns : 'value', and 'count'. The SFrame will
be so... | python | def value_counts(self):
"""
Return an SFrame containing counts of unique values. The resulting
SFrame will be sorted in descending frequency.
Returns
-------
out : SFrame
An SFrame containing 2 columns : 'value', and 'count'. The SFrame will
be so... | [
"def",
"value_counts",
"(",
"self",
")",
":",
"from",
".",
"sframe",
"import",
"SFrame",
"as",
"_SFrame",
"return",
"_SFrame",
"(",
"{",
"'value'",
":",
"self",
"}",
")",
".",
"groupby",
"(",
"'value'",
",",
"{",
"'count'",
":",
"_aggregate",
".",
"COU... | Return an SFrame containing counts of unique values. The resulting
SFrame will be sorted in descending frequency.
Returns
-------
out : SFrame
An SFrame containing 2 columns : 'value', and 'count'. The SFrame will
be sorted in descending order by the column 'coun... | [
"Return",
"an",
"SFrame",
"containing",
"counts",
"of",
"unique",
"values",
".",
"The",
"resulting",
"SFrame",
"will",
"be",
"sorted",
"in",
"descending",
"frequency",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L2777-L2811 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.append | def append(self, other):
"""
Append an SArray to the current SArray. Creates a new SArray with the
rows from both SArrays. Both SArrays must be of the same type.
Parameters
----------
other : SArray
Another SArray whose rows are appended to current SArray.
... | python | def append(self, other):
"""
Append an SArray to the current SArray. Creates a new SArray with the
rows from both SArrays. Both SArrays must be of the same type.
Parameters
----------
other : SArray
Another SArray whose rows are appended to current SArray.
... | [
"def",
"append",
"(",
"self",
",",
"other",
")",
":",
"if",
"type",
"(",
"other",
")",
"is",
"not",
"SArray",
":",
"raise",
"RuntimeError",
"(",
"\"SArray append can only work with SArray\"",
")",
"if",
"self",
".",
"dtype",
"!=",
"other",
".",
"dtype",
":... | Append an SArray to the current SArray. Creates a new SArray with the
rows from both SArrays. Both SArrays must be of the same type.
Parameters
----------
other : SArray
Another SArray whose rows are appended to current SArray.
Returns
-------
out : ... | [
"Append",
"an",
"SArray",
"to",
"the",
"current",
"SArray",
".",
"Creates",
"a",
"new",
"SArray",
"with",
"the",
"rows",
"from",
"both",
"SArrays",
".",
"Both",
"SArrays",
"must",
"be",
"of",
"the",
"same",
"type",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L2814-L2850 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.unique | def unique(self):
"""
Get all unique values in the current SArray.
Raises a TypeError if the SArray is of dictionary type. Will not
necessarily preserve the order of the given SArray in the new SArray.
Returns
-------
out : SArray
A new SArray that ... | python | def unique(self):
"""
Get all unique values in the current SArray.
Raises a TypeError if the SArray is of dictionary type. Will not
necessarily preserve the order of the given SArray in the new SArray.
Returns
-------
out : SArray
A new SArray that ... | [
"def",
"unique",
"(",
"self",
")",
":",
"from",
".",
"sframe",
"import",
"SFrame",
"as",
"_SFrame",
"tmp_sf",
"=",
"_SFrame",
"(",
")",
"tmp_sf",
".",
"add_column",
"(",
"self",
",",
"'X1'",
",",
"inplace",
"=",
"True",
")",
"res",
"=",
"tmp_sf",
"."... | Get all unique values in the current SArray.
Raises a TypeError if the SArray is of dictionary type. Will not
necessarily preserve the order of the given SArray in the new SArray.
Returns
-------
out : SArray
A new SArray that contains the unique values of the curr... | [
"Get",
"all",
"unique",
"values",
"in",
"the",
"current",
"SArray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L2852-L2876 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.show | def show(self, title=LABEL_DEFAULT, xlabel=LABEL_DEFAULT, ylabel=LABEL_DEFAULT):
"""
Visualize the SArray.
Notes
-----
- The plot will render either inline in a Jupyter Notebook, or in a
native GUI window, depending on the value provided in
`turicreate.visual... | python | def show(self, title=LABEL_DEFAULT, xlabel=LABEL_DEFAULT, ylabel=LABEL_DEFAULT):
"""
Visualize the SArray.
Notes
-----
- The plot will render either inline in a Jupyter Notebook, or in a
native GUI window, depending on the value provided in
`turicreate.visual... | [
"def",
"show",
"(",
"self",
",",
"title",
"=",
"LABEL_DEFAULT",
",",
"xlabel",
"=",
"LABEL_DEFAULT",
",",
"ylabel",
"=",
"LABEL_DEFAULT",
")",
":",
"returned_plot",
"=",
"self",
".",
"plot",
"(",
"title",
",",
"xlabel",
",",
"ylabel",
")",
"returned_plot",... | Visualize the SArray.
Notes
-----
- The plot will render either inline in a Jupyter Notebook, or in a
native GUI window, depending on the value provided in
`turicreate.visualization.set_target` (defaults to 'auto').
Parameters
----------
title : str
... | [
"Visualize",
"the",
"SArray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L2905-L2946 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.plot | def plot(self, title=LABEL_DEFAULT, xlabel=LABEL_DEFAULT, ylabel=LABEL_DEFAULT):
"""
Create a Plot object representing the SArray.
Notes
-----
- The plot will render either inline in a Jupyter Notebook, or in a
native GUI window, depending on the value provided in
... | python | def plot(self, title=LABEL_DEFAULT, xlabel=LABEL_DEFAULT, ylabel=LABEL_DEFAULT):
"""
Create a Plot object representing the SArray.
Notes
-----
- The plot will render either inline in a Jupyter Notebook, or in a
native GUI window, depending on the value provided in
... | [
"def",
"plot",
"(",
"self",
",",
"title",
"=",
"LABEL_DEFAULT",
",",
"xlabel",
"=",
"LABEL_DEFAULT",
",",
"ylabel",
"=",
"LABEL_DEFAULT",
")",
":",
"if",
"title",
"==",
"\"\"",
":",
"title",
"=",
"\" \"",
"if",
"xlabel",
"==",
"\"\"",
":",
"xlabel",
"=... | Create a Plot object representing the SArray.
Notes
-----
- The plot will render either inline in a Jupyter Notebook, or in a
native GUI window, depending on the value provided in
`turicreate.visualization.set_target` (defaults to 'auto').
Parameters
-------... | [
"Create",
"a",
"Plot",
"object",
"representing",
"the",
"SArray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L2948-L3006 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.item_length | def item_length(self):
"""
Length of each element in the current SArray.
Only works on SArrays of dict, array, or list type. If a given element
is a missing value, then the output elements is also a missing value.
This function is equivalent to the following but more performant:... | python | def item_length(self):
"""
Length of each element in the current SArray.
Only works on SArrays of dict, array, or list type. If a given element
is a missing value, then the output elements is also a missing value.
This function is equivalent to the following but more performant:... | [
"def",
"item_length",
"(",
"self",
")",
":",
"if",
"(",
"self",
".",
"dtype",
"not",
"in",
"[",
"list",
",",
"dict",
",",
"array",
".",
"array",
"]",
")",
":",
"raise",
"TypeError",
"(",
"\"item_length() is only applicable for SArray of type list, dict and array... | Length of each element in the current SArray.
Only works on SArrays of dict, array, or list type. If a given element
is a missing value, then the output elements is also a missing value.
This function is equivalent to the following but more performant:
sa_item_len = sa.apply(lambd... | [
"Length",
"of",
"each",
"element",
"in",
"the",
"current",
"SArray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L3008-L3043 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.random_split | def random_split(self, fraction, seed=None):
"""
Randomly split the rows of an SArray into two SArrays. The first SArray
contains *M* rows, sampled uniformly (without replacement) from the
original SArray. *M* is approximately the fraction times the original
number of rows. The s... | python | def random_split(self, fraction, seed=None):
"""
Randomly split the rows of an SArray into two SArrays. The first SArray
contains *M* rows, sampled uniformly (without replacement) from the
original SArray. *M* is approximately the fraction times the original
number of rows. The s... | [
"def",
"random_split",
"(",
"self",
",",
"fraction",
",",
"seed",
"=",
"None",
")",
":",
"from",
".",
"sframe",
"import",
"SFrame",
"temporary_sf",
"=",
"SFrame",
"(",
")",
"temporary_sf",
"[",
"'X1'",
"]",
"=",
"self",
"(",
"train",
",",
"test",
")",
... | Randomly split the rows of an SArray into two SArrays. The first SArray
contains *M* rows, sampled uniformly (without replacement) from the
original SArray. *M* is approximately the fraction times the original
number of rows. The second SArray contains the remaining rows of the
original ... | [
"Randomly",
"split",
"the",
"rows",
"of",
"an",
"SArray",
"into",
"two",
"SArrays",
".",
"The",
"first",
"SArray",
"contains",
"*",
"M",
"*",
"rows",
"sampled",
"uniformly",
"(",
"without",
"replacement",
")",
"from",
"the",
"original",
"SArray",
".",
"*",... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L3045-L3081 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.split_datetime | def split_datetime(self, column_name_prefix = "X", limit=None, timezone=False):
"""
Splits an SArray of datetime type to multiple columns, return a
new SFrame that contains expanded columns. A SArray of datetime will be
split by default into an SFrame of 6 columns, one for each
y... | python | def split_datetime(self, column_name_prefix = "X", limit=None, timezone=False):
"""
Splits an SArray of datetime type to multiple columns, return a
new SFrame that contains expanded columns. A SArray of datetime will be
split by default into an SFrame of 6 columns, one for each
y... | [
"def",
"split_datetime",
"(",
"self",
",",
"column_name_prefix",
"=",
"\"X\"",
",",
"limit",
"=",
"None",
",",
"timezone",
"=",
"False",
")",
":",
"from",
".",
"sframe",
"import",
"SFrame",
"as",
"_SFrame",
"if",
"self",
".",
"dtype",
"!=",
"datetime",
"... | Splits an SArray of datetime type to multiple columns, return a
new SFrame that contains expanded columns. A SArray of datetime will be
split by default into an SFrame of 6 columns, one for each
year/month/day/hour/minute/second element.
**Column Naming**
When splitting a SArra... | [
"Splits",
"an",
"SArray",
"of",
"datetime",
"type",
"to",
"multiple",
"columns",
"return",
"a",
"new",
"SFrame",
"that",
"contains",
"expanded",
"columns",
".",
"A",
"SArray",
"of",
"datetime",
"will",
"be",
"split",
"by",
"default",
"into",
"an",
"SFrame",
... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L3083-L3217 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.stack | def stack(self, new_column_name=None, drop_na=False, new_column_type=None):
"""
Convert a "wide" SArray to one or two "tall" columns in an SFrame by
stacking all values.
The stack works only for columns of dict, list, or array type. If the
column is dict type, two new columns a... | python | def stack(self, new_column_name=None, drop_na=False, new_column_type=None):
"""
Convert a "wide" SArray to one or two "tall" columns in an SFrame by
stacking all values.
The stack works only for columns of dict, list, or array type. If the
column is dict type, two new columns a... | [
"def",
"stack",
"(",
"self",
",",
"new_column_name",
"=",
"None",
",",
"drop_na",
"=",
"False",
",",
"new_column_type",
"=",
"None",
")",
":",
"from",
".",
"sframe",
"import",
"SFrame",
"as",
"_SFrame",
"return",
"_SFrame",
"(",
"{",
"'SArray'",
":",
"se... | Convert a "wide" SArray to one or two "tall" columns in an SFrame by
stacking all values.
The stack works only for columns of dict, list, or array type. If the
column is dict type, two new columns are created as a result of
stacking: one column holds the key and another column holds th... | [
"Convert",
"a",
"wide",
"SArray",
"to",
"one",
"or",
"two",
"tall",
"columns",
"in",
"an",
"SFrame",
"by",
"stacking",
"all",
"values",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L3219-L3294 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.unpack | def unpack(self, column_name_prefix = "X", column_types=None, na_value=None, limit=None):
"""
Convert an SArray of list, array, or dict type to an SFrame with
multiple columns.
`unpack` expands an SArray using the values of each list/array/dict as
elements in a new SFrame of mul... | python | def unpack(self, column_name_prefix = "X", column_types=None, na_value=None, limit=None):
"""
Convert an SArray of list, array, or dict type to an SFrame with
multiple columns.
`unpack` expands an SArray using the values of each list/array/dict as
elements in a new SFrame of mul... | [
"def",
"unpack",
"(",
"self",
",",
"column_name_prefix",
"=",
"\"X\"",
",",
"column_types",
"=",
"None",
",",
"na_value",
"=",
"None",
",",
"limit",
"=",
"None",
")",
":",
"from",
".",
"sframe",
"import",
"SFrame",
"as",
"_SFrame",
"if",
"self",
".",
"... | Convert an SArray of list, array, or dict type to an SFrame with
multiple columns.
`unpack` expands an SArray using the values of each list/array/dict as
elements in a new SFrame of multiple columns. For example, an SArray of
lists each of length 4 will be expanded into an SFrame of 4 c... | [
"Convert",
"an",
"SArray",
"of",
"list",
"array",
"or",
"dict",
"type",
"to",
"an",
"SFrame",
"with",
"multiple",
"columns",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L3296-L3493 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.sort | def sort(self, ascending=True):
"""
Sort all values in this SArray.
Sort only works for sarray of type str, int and float, otherwise TypeError
will be raised. Creates a new, sorted SArray.
Parameters
----------
ascending: boolean, optional
If true, th... | python | def sort(self, ascending=True):
"""
Sort all values in this SArray.
Sort only works for sarray of type str, int and float, otherwise TypeError
will be raised. Creates a new, sorted SArray.
Parameters
----------
ascending: boolean, optional
If true, th... | [
"def",
"sort",
"(",
"self",
",",
"ascending",
"=",
"True",
")",
":",
"from",
".",
"sframe",
"import",
"SFrame",
"as",
"_SFrame",
"if",
"self",
".",
"dtype",
"not",
"in",
"(",
"int",
",",
"float",
",",
"str",
",",
"datetime",
".",
"datetime",
")",
"... | Sort all values in this SArray.
Sort only works for sarray of type str, int and float, otherwise TypeError
will be raised. Creates a new, sorted SArray.
Parameters
----------
ascending: boolean, optional
If true, the sarray values are sorted in ascending order, other... | [
"Sort",
"all",
"values",
"in",
"this",
"SArray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L3495-L3526 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.rolling_sum | def rolling_sum(self, window_start, window_end, min_observations=None):
"""
Calculate a new SArray of the sum of different subsets over this
SArray.
Also known as a "moving sum" or "running sum". The subset that
the sum is calculated over is defined as an inclusive range relativ... | python | def rolling_sum(self, window_start, window_end, min_observations=None):
"""
Calculate a new SArray of the sum of different subsets over this
SArray.
Also known as a "moving sum" or "running sum". The subset that
the sum is calculated over is defined as an inclusive range relativ... | [
"def",
"rolling_sum",
"(",
"self",
",",
"window_start",
",",
"window_end",
",",
"min_observations",
"=",
"None",
")",
":",
"min_observations",
"=",
"self",
".",
"__check_min_observations",
"(",
"min_observations",
")",
"agg_op",
"=",
"None",
"if",
"self",
".",
... | Calculate a new SArray of the sum of different subsets over this
SArray.
Also known as a "moving sum" or "running sum". The subset that
the sum is calculated over is defined as an inclusive range relative
to the position to each value in the SArray, using `window_start` and
`win... | [
"Calculate",
"a",
"new",
"SArray",
"of",
"the",
"sum",
"of",
"different",
"subsets",
"over",
"this",
"SArray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L3640-L3743 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.rolling_max | def rolling_max(self, window_start, window_end, min_observations=None):
"""
Calculate a new SArray of the maximum value of different subsets over
this SArray.
The subset that the maximum is calculated over is defined as an
inclusive range relative to the position to each value i... | python | def rolling_max(self, window_start, window_end, min_observations=None):
"""
Calculate a new SArray of the maximum value of different subsets over
this SArray.
The subset that the maximum is calculated over is defined as an
inclusive range relative to the position to each value i... | [
"def",
"rolling_max",
"(",
"self",
",",
"window_start",
",",
"window_end",
",",
"min_observations",
"=",
"None",
")",
":",
"min_observations",
"=",
"self",
".",
"__check_min_observations",
"(",
"min_observations",
")",
"agg_op",
"=",
"'__builtin__max__'",
"return",
... | Calculate a new SArray of the maximum value of different subsets over
this SArray.
The subset that the maximum is calculated over is defined as an
inclusive range relative to the position to each value in the SArray,
using `window_start` and `window_end`. For a better understanding of
... | [
"Calculate",
"a",
"new",
"SArray",
"of",
"the",
"maximum",
"value",
"of",
"different",
"subsets",
"over",
"this",
"SArray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L3745-L3843 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.rolling_count | def rolling_count(self, window_start, window_end):
"""
Count the number of non-NULL values of different subsets over this
SArray.
The subset that the count is executed on is defined as an inclusive
range relative to the position to each value in the SArray, using
`window... | python | def rolling_count(self, window_start, window_end):
"""
Count the number of non-NULL values of different subsets over this
SArray.
The subset that the count is executed on is defined as an inclusive
range relative to the position to each value in the SArray, using
`window... | [
"def",
"rolling_count",
"(",
"self",
",",
"window_start",
",",
"window_end",
")",
":",
"agg_op",
"=",
"'__builtin__nonnull__count__'",
"return",
"SArray",
"(",
"_proxy",
"=",
"self",
".",
"__proxy__",
".",
"builtin_rolling_apply",
"(",
"agg_op",
",",
"window_start... | Count the number of non-NULL values of different subsets over this
SArray.
The subset that the count is executed on is defined as an inclusive
range relative to the position to each value in the SArray, using
`window_start` and `window_end`. For a better understanding of this,
s... | [
"Count",
"the",
"number",
"of",
"non",
"-",
"NULL",
"values",
"of",
"different",
"subsets",
"over",
"this",
"SArray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L4146-L4221 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.cumulative_sum | def cumulative_sum(self):
"""
Return the cumulative sum of the elements in the SArray.
Returns an SArray where each element in the output corresponds to the
sum of all the elements preceding and including it. The SArray is
expected to be of numeric type (int, float), or a numeri... | python | def cumulative_sum(self):
"""
Return the cumulative sum of the elements in the SArray.
Returns an SArray where each element in the output corresponds to the
sum of all the elements preceding and including it. The SArray is
expected to be of numeric type (int, float), or a numeri... | [
"def",
"cumulative_sum",
"(",
"self",
")",
":",
"from",
".",
".",
"import",
"extensions",
"agg_op",
"=",
"\"__builtin__cum_sum__\"",
"return",
"SArray",
"(",
"_proxy",
"=",
"self",
".",
"__proxy__",
".",
"builtin_cumulative_aggregate",
"(",
"agg_op",
")",
")"
] | Return the cumulative sum of the elements in the SArray.
Returns an SArray where each element in the output corresponds to the
sum of all the elements preceding and including it. The SArray is
expected to be of numeric type (int, float), or a numeric vector type.
Returns
------... | [
"Return",
"the",
"cumulative",
"sum",
"of",
"the",
"elements",
"in",
"the",
"SArray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L4223-L4252 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.cumulative_mean | def cumulative_mean(self):
"""
Return the cumulative mean of the elements in the SArray.
Returns an SArray where each element in the output corresponds to the
mean value of all the elements preceding and including it. The SArray
is expected to be of numeric type (int, float), or... | python | def cumulative_mean(self):
"""
Return the cumulative mean of the elements in the SArray.
Returns an SArray where each element in the output corresponds to the
mean value of all the elements preceding and including it. The SArray
is expected to be of numeric type (int, float), or... | [
"def",
"cumulative_mean",
"(",
"self",
")",
":",
"from",
".",
".",
"import",
"extensions",
"agg_op",
"=",
"\"__builtin__cum_avg__\"",
"return",
"SArray",
"(",
"_proxy",
"=",
"self",
".",
"__proxy__",
".",
"builtin_cumulative_aggregate",
"(",
"agg_op",
")",
")"
] | Return the cumulative mean of the elements in the SArray.
Returns an SArray where each element in the output corresponds to the
mean value of all the elements preceding and including it. The SArray
is expected to be of numeric type (int, float), or a numeric vector
type.
Return... | [
"Return",
"the",
"cumulative",
"mean",
"of",
"the",
"elements",
"in",
"the",
"SArray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L4254-L4284 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.cumulative_min | def cumulative_min(self):
"""
Return the cumulative minimum value of the elements in the SArray.
Returns an SArray where each element in the output corresponds to the
minimum value of all the elements preceding and including it. The
SArray is expected to be of numeric type (int,... | python | def cumulative_min(self):
"""
Return the cumulative minimum value of the elements in the SArray.
Returns an SArray where each element in the output corresponds to the
minimum value of all the elements preceding and including it. The
SArray is expected to be of numeric type (int,... | [
"def",
"cumulative_min",
"(",
"self",
")",
":",
"from",
".",
".",
"import",
"extensions",
"agg_op",
"=",
"\"__builtin__cum_min__\"",
"return",
"SArray",
"(",
"_proxy",
"=",
"self",
".",
"__proxy__",
".",
"builtin_cumulative_aggregate",
"(",
"agg_op",
")",
")"
] | Return the cumulative minimum value of the elements in the SArray.
Returns an SArray where each element in the output corresponds to the
minimum value of all the elements preceding and including it. The
SArray is expected to be of numeric type (int, float).
Returns
-------
... | [
"Return",
"the",
"cumulative",
"minimum",
"value",
"of",
"the",
"elements",
"in",
"the",
"SArray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L4286-L4313 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.cumulative_max | def cumulative_max(self):
"""
Return the cumulative maximum value of the elements in the SArray.
Returns an SArray where each element in the output corresponds to the
maximum value of all the elements preceding and including it. The
SArray is expected to be of numeric type (int,... | python | def cumulative_max(self):
"""
Return the cumulative maximum value of the elements in the SArray.
Returns an SArray where each element in the output corresponds to the
maximum value of all the elements preceding and including it. The
SArray is expected to be of numeric type (int,... | [
"def",
"cumulative_max",
"(",
"self",
")",
":",
"from",
".",
".",
"import",
"extensions",
"agg_op",
"=",
"\"__builtin__cum_max__\"",
"return",
"SArray",
"(",
"_proxy",
"=",
"self",
".",
"__proxy__",
".",
"builtin_cumulative_aggregate",
"(",
"agg_op",
")",
")"
] | Return the cumulative maximum value of the elements in the SArray.
Returns an SArray where each element in the output corresponds to the
maximum value of all the elements preceding and including it. The
SArray is expected to be of numeric type (int, float).
Returns
-------
... | [
"Return",
"the",
"cumulative",
"maximum",
"value",
"of",
"the",
"elements",
"in",
"the",
"SArray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L4315-L4342 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.cumulative_std | def cumulative_std(self):
"""
Return the cumulative standard deviation of the elements in the SArray.
Returns an SArray where each element in the output corresponds to the
standard deviation of all the elements preceding and including it. The
SArray is expected to be of numeric ... | python | def cumulative_std(self):
"""
Return the cumulative standard deviation of the elements in the SArray.
Returns an SArray where each element in the output corresponds to the
standard deviation of all the elements preceding and including it. The
SArray is expected to be of numeric ... | [
"def",
"cumulative_std",
"(",
"self",
")",
":",
"from",
".",
".",
"import",
"extensions",
"agg_op",
"=",
"\"__builtin__cum_std__\"",
"return",
"SArray",
"(",
"_proxy",
"=",
"self",
".",
"__proxy__",
".",
"builtin_cumulative_aggregate",
"(",
"agg_op",
")",
")"
] | Return the cumulative standard deviation of the elements in the SArray.
Returns an SArray where each element in the output corresponds to the
standard deviation of all the elements preceding and including it. The
SArray is expected to be of numeric type, or a numeric vector type.
Retur... | [
"Return",
"the",
"cumulative",
"standard",
"deviation",
"of",
"the",
"elements",
"in",
"the",
"SArray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L4344-L4371 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.cumulative_var | def cumulative_var(self):
"""
Return the cumulative variance of the elements in the SArray.
Returns an SArray where each element in the output corresponds to the
variance of all the elements preceding and including it. The SArray is
expected to be of numeric type, or a numeric v... | python | def cumulative_var(self):
"""
Return the cumulative variance of the elements in the SArray.
Returns an SArray where each element in the output corresponds to the
variance of all the elements preceding and including it. The SArray is
expected to be of numeric type, or a numeric v... | [
"def",
"cumulative_var",
"(",
"self",
")",
":",
"from",
".",
".",
"import",
"extensions",
"agg_op",
"=",
"\"__builtin__cum_var__\"",
"return",
"SArray",
"(",
"_proxy",
"=",
"self",
".",
"__proxy__",
".",
"builtin_cumulative_aggregate",
"(",
"agg_op",
")",
")"
] | Return the cumulative variance of the elements in the SArray.
Returns an SArray where each element in the output corresponds to the
variance of all the elements preceding and including it. The SArray is
expected to be of numeric type, or a numeric vector type.
Returns
-------
... | [
"Return",
"the",
"cumulative",
"variance",
"of",
"the",
"elements",
"in",
"the",
"SArray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L4373-L4400 | train |
apple/turicreate | src/unity/python/turicreate/data_structures/sarray.py | SArray.filter_by | def filter_by(self, values, exclude=False):
"""
Filter an SArray by values inside an iterable object. The result is an SArray that
only includes (or excludes) the values in the given ``values`` :class:`~turicreate.SArray`.
If ``values`` is not an SArray, we attempt to convert it... | python | def filter_by(self, values, exclude=False):
"""
Filter an SArray by values inside an iterable object. The result is an SArray that
only includes (or excludes) the values in the given ``values`` :class:`~turicreate.SArray`.
If ``values`` is not an SArray, we attempt to convert it... | [
"def",
"filter_by",
"(",
"self",
",",
"values",
",",
"exclude",
"=",
"False",
")",
":",
"from",
".",
"sframe",
"import",
"SFrame",
"as",
"_SFrame",
"column_name",
"=",
"'sarray'",
"# Convert values to SArray",
"if",
"not",
"isinstance",
"(",
"values",
",",
"... | Filter an SArray by values inside an iterable object. The result is an SArray that
only includes (or excludes) the values in the given ``values`` :class:`~turicreate.SArray`.
If ``values`` is not an SArray, we attempt to convert it to one before filtering.
Parameters
----------
... | [
"Filter",
"an",
"SArray",
"by",
"values",
"inside",
"an",
"iterable",
"object",
".",
"The",
"result",
"is",
"an",
"SArray",
"that",
"only",
"includes",
"(",
"or",
"excludes",
")",
"the",
"values",
"in",
"the",
"given",
"values",
":",
"class",
":",
"~turi... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sarray.py#L4402-L4480 | train |
apple/turicreate | src/external/xgboost/subtree/rabit/doc/conf.py | run_build_lib | def run_build_lib(folder):
"""Run the doxygen make command in the designated folder."""
try:
retcode = subprocess.call("cd %s; make" % folder, shell=True)
retcode = subprocess.call("rm -rf _build/html/doxygen", shell=True)
retcode = subprocess.call("mkdir _build", shell=True)
ret... | python | def run_build_lib(folder):
"""Run the doxygen make command in the designated folder."""
try:
retcode = subprocess.call("cd %s; make" % folder, shell=True)
retcode = subprocess.call("rm -rf _build/html/doxygen", shell=True)
retcode = subprocess.call("mkdir _build", shell=True)
ret... | [
"def",
"run_build_lib",
"(",
"folder",
")",
":",
"try",
":",
"retcode",
"=",
"subprocess",
".",
"call",
"(",
"\"cd %s; make\"",
"%",
"folder",
",",
"shell",
"=",
"True",
")",
"retcode",
"=",
"subprocess",
".",
"call",
"(",
"\"rm -rf _build/html/doxygen\"",
"... | Run the doxygen make command in the designated folder. | [
"Run",
"the",
"doxygen",
"make",
"command",
"in",
"the",
"designated",
"folder",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/xgboost/subtree/rabit/doc/conf.py#L153-L164 | train |
apple/turicreate | src/external/xgboost/subtree/rabit/doc/conf.py | generate_doxygen_xml | def generate_doxygen_xml(app):
"""Run the doxygen make commands if we're on the ReadTheDocs server"""
read_the_docs_build = os.environ.get('READTHEDOCS', None) == 'True'
if read_the_docs_build:
run_doxygen('..')
sys.stderr.write('Check if shared lib exists\n')
run_build_lib('..')
... | python | def generate_doxygen_xml(app):
"""Run the doxygen make commands if we're on the ReadTheDocs server"""
read_the_docs_build = os.environ.get('READTHEDOCS', None) == 'True'
if read_the_docs_build:
run_doxygen('..')
sys.stderr.write('Check if shared lib exists\n')
run_build_lib('..')
... | [
"def",
"generate_doxygen_xml",
"(",
"app",
")",
":",
"read_the_docs_build",
"=",
"os",
".",
"environ",
".",
"get",
"(",
"'READTHEDOCS'",
",",
"None",
")",
"==",
"'True'",
"if",
"read_the_docs_build",
":",
"run_doxygen",
"(",
"'..'",
")",
"sys",
".",
"stderr"... | Run the doxygen make commands if we're on the ReadTheDocs server | [
"Run",
"the",
"doxygen",
"make",
"commands",
"if",
"we",
"re",
"on",
"the",
"ReadTheDocs",
"server"
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/xgboost/subtree/rabit/doc/conf.py#L167-L175 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py | MessageToJson | def MessageToJson(message,
including_default_value_fields=False,
preserving_proto_field_name=False):
"""Converts protobuf message to JSON format.
Args:
message: The protocol buffers message instance to serialize.
including_default_value_fields: If True, singular primitiv... | python | def MessageToJson(message,
including_default_value_fields=False,
preserving_proto_field_name=False):
"""Converts protobuf message to JSON format.
Args:
message: The protocol buffers message instance to serialize.
including_default_value_fields: If True, singular primitiv... | [
"def",
"MessageToJson",
"(",
"message",
",",
"including_default_value_fields",
"=",
"False",
",",
"preserving_proto_field_name",
"=",
"False",
")",
":",
"printer",
"=",
"_Printer",
"(",
"including_default_value_fields",
",",
"preserving_proto_field_name",
")",
"return",
... | Converts protobuf message to JSON format.
Args:
message: The protocol buffers message instance to serialize.
including_default_value_fields: If True, singular primitive fields,
repeated fields, and map fields will always be serialized. If
False, only serialize non-empty fields. Singular mes... | [
"Converts",
"protobuf",
"message",
"to",
"JSON",
"format",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py#L89-L109 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py | MessageToDict | def MessageToDict(message,
including_default_value_fields=False,
preserving_proto_field_name=False):
"""Converts protobuf message to a JSON dictionary.
Args:
message: The protocol buffers message instance to serialize.
including_default_value_fields: If True, singular pr... | python | def MessageToDict(message,
including_default_value_fields=False,
preserving_proto_field_name=False):
"""Converts protobuf message to a JSON dictionary.
Args:
message: The protocol buffers message instance to serialize.
including_default_value_fields: If True, singular pr... | [
"def",
"MessageToDict",
"(",
"message",
",",
"including_default_value_fields",
"=",
"False",
",",
"preserving_proto_field_name",
"=",
"False",
")",
":",
"printer",
"=",
"_Printer",
"(",
"including_default_value_fields",
",",
"preserving_proto_field_name",
")",
"# pylint: ... | Converts protobuf message to a JSON dictionary.
Args:
message: The protocol buffers message instance to serialize.
including_default_value_fields: If True, singular primitive fields,
repeated fields, and map fields will always be serialized. If
False, only serialize non-empty fields. Singul... | [
"Converts",
"protobuf",
"message",
"to",
"a",
"JSON",
"dictionary",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py#L112-L133 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py | ParseDict | def ParseDict(js_dict, message, ignore_unknown_fields=False):
"""Parses a JSON dictionary representation into a message.
Args:
js_dict: Dict representation of a JSON message.
message: A protocol buffer message to merge into.
ignore_unknown_fields: If True, do not raise errors for unknown fields.
Ret... | python | def ParseDict(js_dict, message, ignore_unknown_fields=False):
"""Parses a JSON dictionary representation into a message.
Args:
js_dict: Dict representation of a JSON message.
message: A protocol buffer message to merge into.
ignore_unknown_fields: If True, do not raise errors for unknown fields.
Ret... | [
"def",
"ParseDict",
"(",
"js_dict",
",",
"message",
",",
"ignore_unknown_fields",
"=",
"False",
")",
":",
"parser",
"=",
"_Parser",
"(",
"ignore_unknown_fields",
")",
"parser",
".",
"ConvertMessage",
"(",
"js_dict",
",",
"message",
")",
"return",
"message"
] | Parses a JSON dictionary representation into a message.
Args:
js_dict: Dict representation of a JSON message.
message: A protocol buffer message to merge into.
ignore_unknown_fields: If True, do not raise errors for unknown fields.
Returns:
The same message passed as argument. | [
"Parses",
"a",
"JSON",
"dictionary",
"representation",
"into",
"a",
"message",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py#L372-L385 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py | _ConvertScalarFieldValue | def _ConvertScalarFieldValue(value, field, require_str=False):
"""Convert a single scalar field value.
Args:
value: A scalar value to convert the scalar field value.
field: The descriptor of the field to convert.
require_str: If True, the field value must be a str.
Returns:
The converted scalar ... | python | def _ConvertScalarFieldValue(value, field, require_str=False):
"""Convert a single scalar field value.
Args:
value: A scalar value to convert the scalar field value.
field: The descriptor of the field to convert.
require_str: If True, the field value must be a str.
Returns:
The converted scalar ... | [
"def",
"_ConvertScalarFieldValue",
"(",
"value",
",",
"field",
",",
"require_str",
"=",
"False",
")",
":",
"if",
"field",
".",
"cpp_type",
"in",
"_INT_TYPES",
":",
"return",
"_ConvertInteger",
"(",
"value",
")",
"elif",
"field",
".",
"cpp_type",
"in",
"_FLOA... | Convert a single scalar field value.
Args:
value: A scalar value to convert the scalar field value.
field: The descriptor of the field to convert.
require_str: If True, the field value must be a str.
Returns:
The converted scalar field value
Raises:
ParseError: In case of convert problems. | [
"Convert",
"a",
"single",
"scalar",
"field",
"value",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py#L606-L648 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py | _ConvertInteger | def _ConvertInteger(value):
"""Convert an integer.
Args:
value: A scalar value to convert.
Returns:
The integer value.
Raises:
ParseError: If an integer couldn't be consumed.
"""
if isinstance(value, float) and not value.is_integer():
raise ParseError('Couldn\'t parse integer: {0}.'.forma... | python | def _ConvertInteger(value):
"""Convert an integer.
Args:
value: A scalar value to convert.
Returns:
The integer value.
Raises:
ParseError: If an integer couldn't be consumed.
"""
if isinstance(value, float) and not value.is_integer():
raise ParseError('Couldn\'t parse integer: {0}.'.forma... | [
"def",
"_ConvertInteger",
"(",
"value",
")",
":",
"if",
"isinstance",
"(",
"value",
",",
"float",
")",
"and",
"not",
"value",
".",
"is_integer",
"(",
")",
":",
"raise",
"ParseError",
"(",
"'Couldn\\'t parse integer: {0}.'",
".",
"format",
"(",
"value",
")",
... | Convert an integer.
Args:
value: A scalar value to convert.
Returns:
The integer value.
Raises:
ParseError: If an integer couldn't be consumed. | [
"Convert",
"an",
"integer",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py#L651-L669 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py | _ConvertFloat | def _ConvertFloat(value):
"""Convert an floating point number."""
if value == 'nan':
raise ParseError('Couldn\'t parse float "nan", use "NaN" instead.')
try:
# Assume Python compatible syntax.
return float(value)
except ValueError:
# Check alternative spellings.
if value == _NEG_INFINITY:
... | python | def _ConvertFloat(value):
"""Convert an floating point number."""
if value == 'nan':
raise ParseError('Couldn\'t parse float "nan", use "NaN" instead.')
try:
# Assume Python compatible syntax.
return float(value)
except ValueError:
# Check alternative spellings.
if value == _NEG_INFINITY:
... | [
"def",
"_ConvertFloat",
"(",
"value",
")",
":",
"if",
"value",
"==",
"'nan'",
":",
"raise",
"ParseError",
"(",
"'Couldn\\'t parse float \"nan\", use \"NaN\" instead.'",
")",
"try",
":",
"# Assume Python compatible syntax.",
"return",
"float",
"(",
"value",
")",
"excep... | Convert an floating point number. | [
"Convert",
"an",
"floating",
"point",
"number",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py#L672-L688 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py | _ConvertBool | def _ConvertBool(value, require_str):
"""Convert a boolean value.
Args:
value: A scalar value to convert.
require_str: If True, value must be a str.
Returns:
The bool parsed.
Raises:
ParseError: If a boolean value couldn't be consumed.
"""
if require_str:
if value == 'true':
ret... | python | def _ConvertBool(value, require_str):
"""Convert a boolean value.
Args:
value: A scalar value to convert.
require_str: If True, value must be a str.
Returns:
The bool parsed.
Raises:
ParseError: If a boolean value couldn't be consumed.
"""
if require_str:
if value == 'true':
ret... | [
"def",
"_ConvertBool",
"(",
"value",
",",
"require_str",
")",
":",
"if",
"require_str",
":",
"if",
"value",
"==",
"'true'",
":",
"return",
"True",
"elif",
"value",
"==",
"'false'",
":",
"return",
"False",
"else",
":",
"raise",
"ParseError",
"(",
"'Expected... | Convert a boolean value.
Args:
value: A scalar value to convert.
require_str: If True, value must be a str.
Returns:
The bool parsed.
Raises:
ParseError: If a boolean value couldn't be consumed. | [
"Convert",
"a",
"boolean",
"value",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py#L691-L714 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py | _Printer._MessageToJsonObject | def _MessageToJsonObject(self, message):
"""Converts message to an object according to Proto3 JSON Specification."""
message_descriptor = message.DESCRIPTOR
full_name = message_descriptor.full_name
if _IsWrapperMessage(message_descriptor):
return self._WrapperMessageToJsonObject(message)
if fu... | python | def _MessageToJsonObject(self, message):
"""Converts message to an object according to Proto3 JSON Specification."""
message_descriptor = message.DESCRIPTOR
full_name = message_descriptor.full_name
if _IsWrapperMessage(message_descriptor):
return self._WrapperMessageToJsonObject(message)
if fu... | [
"def",
"_MessageToJsonObject",
"(",
"self",
",",
"message",
")",
":",
"message_descriptor",
"=",
"message",
".",
"DESCRIPTOR",
"full_name",
"=",
"message_descriptor",
".",
"full_name",
"if",
"_IsWrapperMessage",
"(",
"message_descriptor",
")",
":",
"return",
"self",... | Converts message to an object according to Proto3 JSON Specification. | [
"Converts",
"message",
"to",
"an",
"object",
"according",
"to",
"Proto3",
"JSON",
"Specification",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py#L155-L164 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py | _Printer._RegularMessageToJsonObject | def _RegularMessageToJsonObject(self, message, js):
"""Converts normal message according to Proto3 JSON Specification."""
fields = message.ListFields()
try:
for field, value in fields:
if self.preserving_proto_field_name:
name = field.name
else:
name = field.json_n... | python | def _RegularMessageToJsonObject(self, message, js):
"""Converts normal message according to Proto3 JSON Specification."""
fields = message.ListFields()
try:
for field, value in fields:
if self.preserving_proto_field_name:
name = field.name
else:
name = field.json_n... | [
"def",
"_RegularMessageToJsonObject",
"(",
"self",
",",
"message",
",",
"js",
")",
":",
"fields",
"=",
"message",
".",
"ListFields",
"(",
")",
"try",
":",
"for",
"field",
",",
"value",
"in",
"fields",
":",
"if",
"self",
".",
"preserving_proto_field_name",
... | Converts normal message according to Proto3 JSON Specification. | [
"Converts",
"normal",
"message",
"according",
"to",
"Proto3",
"JSON",
"Specification",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py#L166-L225 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py | _Printer._FieldToJsonObject | def _FieldToJsonObject(self, field, value):
"""Converts field value according to Proto3 JSON Specification."""
if field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_MESSAGE:
return self._MessageToJsonObject(value)
elif field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_ENUM:
enum_value = fie... | python | def _FieldToJsonObject(self, field, value):
"""Converts field value according to Proto3 JSON Specification."""
if field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_MESSAGE:
return self._MessageToJsonObject(value)
elif field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_ENUM:
enum_value = fie... | [
"def",
"_FieldToJsonObject",
"(",
"self",
",",
"field",
",",
"value",
")",
":",
"if",
"field",
".",
"cpp_type",
"==",
"descriptor",
".",
"FieldDescriptor",
".",
"CPPTYPE_MESSAGE",
":",
"return",
"self",
".",
"_MessageToJsonObject",
"(",
"value",
")",
"elif",
... | Converts field value according to Proto3 JSON Specification. | [
"Converts",
"field",
"value",
"according",
"to",
"Proto3",
"JSON",
"Specification",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py#L227-L256 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py | _Printer._AnyMessageToJsonObject | def _AnyMessageToJsonObject(self, message):
"""Converts Any message according to Proto3 JSON Specification."""
if not message.ListFields():
return {}
# Must print @type first, use OrderedDict instead of {}
js = OrderedDict()
type_url = message.type_url
js['@type'] = type_url
sub_messag... | python | def _AnyMessageToJsonObject(self, message):
"""Converts Any message according to Proto3 JSON Specification."""
if not message.ListFields():
return {}
# Must print @type first, use OrderedDict instead of {}
js = OrderedDict()
type_url = message.type_url
js['@type'] = type_url
sub_messag... | [
"def",
"_AnyMessageToJsonObject",
"(",
"self",
",",
"message",
")",
":",
"if",
"not",
"message",
".",
"ListFields",
"(",
")",
":",
"return",
"{",
"}",
"# Must print @type first, use OrderedDict instead of {}",
"js",
"=",
"OrderedDict",
"(",
")",
"type_url",
"=",
... | Converts Any message according to Proto3 JSON Specification. | [
"Converts",
"Any",
"message",
"according",
"to",
"Proto3",
"JSON",
"Specification",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py#L258-L277 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py | _Printer._ValueMessageToJsonObject | def _ValueMessageToJsonObject(self, message):
"""Converts Value message according to Proto3 JSON Specification."""
which = message.WhichOneof('kind')
# If the Value message is not set treat as null_value when serialize
# to JSON. The parse back result will be different from original message.
if whic... | python | def _ValueMessageToJsonObject(self, message):
"""Converts Value message according to Proto3 JSON Specification."""
which = message.WhichOneof('kind')
# If the Value message is not set treat as null_value when serialize
# to JSON. The parse back result will be different from original message.
if whic... | [
"def",
"_ValueMessageToJsonObject",
"(",
"self",
",",
"message",
")",
":",
"which",
"=",
"message",
".",
"WhichOneof",
"(",
"'kind'",
")",
"# If the Value message is not set treat as null_value when serialize",
"# to JSON. The parse back result will be different from original messa... | Converts Value message according to Proto3 JSON Specification. | [
"Converts",
"Value",
"message",
"according",
"to",
"Proto3",
"JSON",
"Specification",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py#L285-L299 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py | _Printer._StructMessageToJsonObject | def _StructMessageToJsonObject(self, message):
"""Converts Struct message according to Proto3 JSON Specification."""
fields = message.fields
ret = {}
for key in fields:
ret[key] = self._ValueMessageToJsonObject(fields[key])
return ret | python | def _StructMessageToJsonObject(self, message):
"""Converts Struct message according to Proto3 JSON Specification."""
fields = message.fields
ret = {}
for key in fields:
ret[key] = self._ValueMessageToJsonObject(fields[key])
return ret | [
"def",
"_StructMessageToJsonObject",
"(",
"self",
",",
"message",
")",
":",
"fields",
"=",
"message",
".",
"fields",
"ret",
"=",
"{",
"}",
"for",
"key",
"in",
"fields",
":",
"ret",
"[",
"key",
"]",
"=",
"self",
".",
"_ValueMessageToJsonObject",
"(",
"fie... | Converts Struct message according to Proto3 JSON Specification. | [
"Converts",
"Struct",
"message",
"according",
"to",
"Proto3",
"JSON",
"Specification",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py#L306-L312 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py | _Parser.ConvertMessage | def ConvertMessage(self, value, message):
"""Convert a JSON object into a message.
Args:
value: A JSON object.
message: A WKT or regular protocol message to record the data.
Raises:
ParseError: In case of convert problems.
"""
message_descriptor = message.DESCRIPTOR
full_name... | python | def ConvertMessage(self, value, message):
"""Convert a JSON object into a message.
Args:
value: A JSON object.
message: A WKT or regular protocol message to record the data.
Raises:
ParseError: In case of convert problems.
"""
message_descriptor = message.DESCRIPTOR
full_name... | [
"def",
"ConvertMessage",
"(",
"self",
",",
"value",
",",
"message",
")",
":",
"message_descriptor",
"=",
"message",
".",
"DESCRIPTOR",
"full_name",
"=",
"message_descriptor",
".",
"full_name",
"if",
"_IsWrapperMessage",
"(",
"message_descriptor",
")",
":",
"self",... | Convert a JSON object into a message.
Args:
value: A JSON object.
message: A WKT or regular protocol message to record the data.
Raises:
ParseError: In case of convert problems. | [
"Convert",
"a",
"JSON",
"object",
"into",
"a",
"message",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py#L398-L415 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py | _Parser._ConvertFieldValuePair | def _ConvertFieldValuePair(self, js, message):
"""Convert field value pairs into regular message.
Args:
js: A JSON object to convert the field value pairs.
message: A regular protocol message to record the data.
Raises:
ParseError: In case of problems converting.
"""
names = []
... | python | def _ConvertFieldValuePair(self, js, message):
"""Convert field value pairs into regular message.
Args:
js: A JSON object to convert the field value pairs.
message: A regular protocol message to record the data.
Raises:
ParseError: In case of problems converting.
"""
names = []
... | [
"def",
"_ConvertFieldValuePair",
"(",
"self",
",",
"js",
",",
"message",
")",
":",
"names",
"=",
"[",
"]",
"message_descriptor",
"=",
"message",
".",
"DESCRIPTOR",
"fields_by_json_name",
"=",
"dict",
"(",
"(",
"f",
".",
"json_name",
",",
"f",
")",
"for",
... | Convert field value pairs into regular message.
Args:
js: A JSON object to convert the field value pairs.
message: A regular protocol message to record the data.
Raises:
ParseError: In case of problems converting. | [
"Convert",
"field",
"value",
"pairs",
"into",
"regular",
"message",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py#L417-L507 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py | _Parser._ConvertAnyMessage | def _ConvertAnyMessage(self, value, message):
"""Convert a JSON representation into Any message."""
if isinstance(value, dict) and not value:
return
try:
type_url = value['@type']
except KeyError:
raise ParseError('@type is missing when parsing any message.')
sub_message = _Create... | python | def _ConvertAnyMessage(self, value, message):
"""Convert a JSON representation into Any message."""
if isinstance(value, dict) and not value:
return
try:
type_url = value['@type']
except KeyError:
raise ParseError('@type is missing when parsing any message.')
sub_message = _Create... | [
"def",
"_ConvertAnyMessage",
"(",
"self",
",",
"value",
",",
"message",
")",
":",
"if",
"isinstance",
"(",
"value",
",",
"dict",
")",
"and",
"not",
"value",
":",
"return",
"try",
":",
"type_url",
"=",
"value",
"[",
"'@type'",
"]",
"except",
"KeyError",
... | Convert a JSON representation into Any message. | [
"Convert",
"a",
"JSON",
"representation",
"into",
"Any",
"message",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py#L509-L531 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py | _Parser._ConvertWrapperMessage | def _ConvertWrapperMessage(self, value, message):
"""Convert a JSON representation into Wrapper message."""
field = message.DESCRIPTOR.fields_by_name['value']
setattr(message, 'value', _ConvertScalarFieldValue(value, field)) | python | def _ConvertWrapperMessage(self, value, message):
"""Convert a JSON representation into Wrapper message."""
field = message.DESCRIPTOR.fields_by_name['value']
setattr(message, 'value', _ConvertScalarFieldValue(value, field)) | [
"def",
"_ConvertWrapperMessage",
"(",
"self",
",",
"value",
",",
"message",
")",
":",
"field",
"=",
"message",
".",
"DESCRIPTOR",
".",
"fields_by_name",
"[",
"'value'",
"]",
"setattr",
"(",
"message",
",",
"'value'",
",",
"_ConvertScalarFieldValue",
"(",
"valu... | Convert a JSON representation into Wrapper message. | [
"Convert",
"a",
"JSON",
"representation",
"into",
"Wrapper",
"message",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py#L574-L577 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py | _Parser._ConvertMapFieldValue | def _ConvertMapFieldValue(self, value, message, field):
"""Convert map field value for a message map field.
Args:
value: A JSON object to convert the map field value.
message: A protocol message to record the converted data.
field: The descriptor of the map field to be converted.
Raises:... | python | def _ConvertMapFieldValue(self, value, message, field):
"""Convert map field value for a message map field.
Args:
value: A JSON object to convert the map field value.
message: A protocol message to record the converted data.
field: The descriptor of the map field to be converted.
Raises:... | [
"def",
"_ConvertMapFieldValue",
"(",
"self",
",",
"value",
",",
"message",
",",
"field",
")",
":",
"if",
"not",
"isinstance",
"(",
"value",
",",
"dict",
")",
":",
"raise",
"ParseError",
"(",
"'Map field {0} must be in a dict which is {1}.'",
".",
"format",
"(",
... | Convert map field value for a message map field.
Args:
value: A JSON object to convert the map field value.
message: A protocol message to record the converted data.
field: The descriptor of the map field to be converted.
Raises:
ParseError: In case of convert problems. | [
"Convert",
"map",
"field",
"value",
"for",
"a",
"message",
"map",
"field",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/json_format.py#L579-L603 | train |
apple/turicreate | src/unity/python/turicreate/visualization/show.py | plot | def plot(x, y, xlabel=LABEL_DEFAULT, ylabel=LABEL_DEFAULT, title=LABEL_DEFAULT):
"""
Plots the data in `x` on the X axis and the data in `y` on the Y axis
in a 2d visualization, and shows the resulting visualization.
Uses the following heuristic to choose the visualization:
* If `x` and `y` are bot... | python | def plot(x, y, xlabel=LABEL_DEFAULT, ylabel=LABEL_DEFAULT, title=LABEL_DEFAULT):
"""
Plots the data in `x` on the X axis and the data in `y` on the Y axis
in a 2d visualization, and shows the resulting visualization.
Uses the following heuristic to choose the visualization:
* If `x` and `y` are bot... | [
"def",
"plot",
"(",
"x",
",",
"y",
",",
"xlabel",
"=",
"LABEL_DEFAULT",
",",
"ylabel",
"=",
"LABEL_DEFAULT",
",",
"title",
"=",
"LABEL_DEFAULT",
")",
":",
"title",
"=",
"_get_title",
"(",
"title",
")",
"plt_ref",
"=",
"tc",
".",
"extensions",
".",
"plo... | Plots the data in `x` on the X axis and the data in `y` on the Y axis
in a 2d visualization, and shows the resulting visualization.
Uses the following heuristic to choose the visualization:
* If `x` and `y` are both numeric (SArray of int or float), and they contain
fewer than or equal to 5,000 value... | [
"Plots",
"the",
"data",
"in",
"x",
"on",
"the",
"X",
"axis",
"and",
"the",
"data",
"in",
"y",
"on",
"the",
"Y",
"axis",
"in",
"a",
"2d",
"visualization",
"and",
"shows",
"the",
"resulting",
"visualization",
".",
"Uses",
"the",
"following",
"heuristic",
... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/visualization/show.py#L20-L81 | train |
apple/turicreate | src/unity/python/turicreate/visualization/show.py | show | def show(x, y, xlabel=LABEL_DEFAULT, ylabel=LABEL_DEFAULT, title=LABEL_DEFAULT):
"""
Plots the data in `x` on the X axis and the data in `y` on the Y axis
in a 2d visualization, and shows the resulting visualization.
Uses the following heuristic to choose the visualization:
* If `x` and `y` are bot... | python | def show(x, y, xlabel=LABEL_DEFAULT, ylabel=LABEL_DEFAULT, title=LABEL_DEFAULT):
"""
Plots the data in `x` on the X axis and the data in `y` on the Y axis
in a 2d visualization, and shows the resulting visualization.
Uses the following heuristic to choose the visualization:
* If `x` and `y` are bot... | [
"def",
"show",
"(",
"x",
",",
"y",
",",
"xlabel",
"=",
"LABEL_DEFAULT",
",",
"ylabel",
"=",
"LABEL_DEFAULT",
",",
"title",
"=",
"LABEL_DEFAULT",
")",
":",
"plot",
"(",
"x",
",",
"y",
",",
"xlabel",
",",
"ylabel",
",",
"title",
")",
".",
"show",
"("... | Plots the data in `x` on the X axis and the data in `y` on the Y axis
in a 2d visualization, and shows the resulting visualization.
Uses the following heuristic to choose the visualization:
* If `x` and `y` are both numeric (SArray of int or float), and they contain
fewer than or equal to 5,000 value... | [
"Plots",
"the",
"data",
"in",
"x",
"on",
"the",
"X",
"axis",
"and",
"the",
"data",
"in",
"y",
"on",
"the",
"Y",
"axis",
"in",
"a",
"2d",
"visualization",
"and",
"shows",
"the",
"resulting",
"visualization",
".",
"Uses",
"the",
"following",
"heuristic",
... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/visualization/show.py#L83-L143 | train |
apple/turicreate | src/unity/python/turicreate/visualization/show.py | scatter | def scatter(x, y, xlabel=LABEL_DEFAULT, ylabel=LABEL_DEFAULT, title=LABEL_DEFAULT):
"""
Plots the data in `x` on the X axis and the data in `y` on the Y axis
in a 2d scatter plot, and returns the resulting Plot object.
The function supports SArrays of dtypes: int, float.
Parameters
-------... | python | def scatter(x, y, xlabel=LABEL_DEFAULT, ylabel=LABEL_DEFAULT, title=LABEL_DEFAULT):
"""
Plots the data in `x` on the X axis and the data in `y` on the Y axis
in a 2d scatter plot, and returns the resulting Plot object.
The function supports SArrays of dtypes: int, float.
Parameters
-------... | [
"def",
"scatter",
"(",
"x",
",",
"y",
",",
"xlabel",
"=",
"LABEL_DEFAULT",
",",
"ylabel",
"=",
"LABEL_DEFAULT",
",",
"title",
"=",
"LABEL_DEFAULT",
")",
":",
"if",
"(",
"not",
"isinstance",
"(",
"x",
",",
"tc",
".",
"data_structures",
".",
"sarray",
".... | Plots the data in `x` on the X axis and the data in `y` on the Y axis
in a 2d scatter plot, and returns the resulting Plot object.
The function supports SArrays of dtypes: int, float.
Parameters
----------
x : SArray
The data to plot on the X axis of the scatter plot.
Must be nume... | [
"Plots",
"the",
"data",
"in",
"x",
"on",
"the",
"X",
"axis",
"and",
"the",
"data",
"in",
"y",
"on",
"the",
"Y",
"axis",
"in",
"a",
"2d",
"scatter",
"plot",
"and",
"returns",
"the",
"resulting",
"Plot",
"object",
".",
"The",
"function",
"supports",
"S... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/visualization/show.py#L145-L193 | train |
apple/turicreate | src/unity/python/turicreate/visualization/show.py | categorical_heatmap | def categorical_heatmap(x, y, xlabel=LABEL_DEFAULT, ylabel=LABEL_DEFAULT, title=LABEL_DEFAULT):
"""
Plots the data in `x` on the X axis and the data in `y` on the Y axis
in a 2d categorical heatmap, and returns the resulting Plot object.
The function supports SArrays of dtypes str.
Parameters
... | python | def categorical_heatmap(x, y, xlabel=LABEL_DEFAULT, ylabel=LABEL_DEFAULT, title=LABEL_DEFAULT):
"""
Plots the data in `x` on the X axis and the data in `y` on the Y axis
in a 2d categorical heatmap, and returns the resulting Plot object.
The function supports SArrays of dtypes str.
Parameters
... | [
"def",
"categorical_heatmap",
"(",
"x",
",",
"y",
",",
"xlabel",
"=",
"LABEL_DEFAULT",
",",
"ylabel",
"=",
"LABEL_DEFAULT",
",",
"title",
"=",
"LABEL_DEFAULT",
")",
":",
"if",
"(",
"not",
"isinstance",
"(",
"x",
",",
"tc",
".",
"data_structures",
".",
"s... | Plots the data in `x` on the X axis and the data in `y` on the Y axis
in a 2d categorical heatmap, and returns the resulting Plot object.
The function supports SArrays of dtypes str.
Parameters
----------
x : SArray
The data to plot on the X axis of the categorical heatmap.
Must b... | [
"Plots",
"the",
"data",
"in",
"x",
"on",
"the",
"X",
"axis",
"and",
"the",
"data",
"in",
"y",
"on",
"the",
"Y",
"axis",
"in",
"a",
"2d",
"categorical",
"heatmap",
"and",
"returns",
"the",
"resulting",
"Plot",
"object",
".",
"The",
"function",
"supports... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/visualization/show.py#L195-L242 | train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.