_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_10300 |
Whether the interval is closed on the left-side, right-side, both or neither. | |
doc_10301 |
Set the colormap for luminance data. Parameters
cmapColormap or str or None | |
doc_10302 |
Scalar method identical to the corresponding array attribute. Please see ndarray.tofile. | |
doc_10303 | Depending on the value of raise_exception, the method either raises a PermissionDenied exception or redirects the user to the login_url, optionally including the redirect_field_name if it is set. | |
doc_10304 |
Return the depth of the decision tree. The depth of a tree is the maximum distance between the root and any leaf. Returns
self.tree_.max_depthint
The maximum depth of the tree. | |
doc_10305 |
Returns a copy of the calling offset object with n=1 and all other attributes equal. | |
doc_10306 | The internal URL rule that matched the request. This can be useful to inspect which methods are allowed for the URL from a before/after handler (request.url_rule.methods) etc. Though if the request’s method was invalid for the URL rule, the valid list is available in routing_exception.valid_methods instead (an attribut... | |
doc_10307 |
Integrate. Return a series instance that is the definite integral of the current series. Parameters
mnon-negative int
The number of integrations to perform.
karray_like
Integration constants. The first constant is applied to the first integration, the second to the second, and so on. The list of values must... | |
doc_10308 | The default search path used by exec*p* and spawn*p* if the environment doesn’t have a 'PATH' key. Also available via os.path. | |
doc_10309 |
Create a 3D contour plot. Parameters
X, Y, Zarray-like,
Input data. See contour for acceptable data shapes.
extend3dbool, default: False
Whether to extend contour in 3D.
strideint
Step size for extending contour.
zdir{'x', 'y', 'z'}, default: 'z'
The direction to use.
offsetfloat, optional
If sp... | |
doc_10310 | Alias for torch.sub(). | |
doc_10311 | class sklearn.covariance.EllipticEnvelope(*, store_precision=True, assume_centered=False, support_fraction=None, contamination=0.1, random_state=None) [source]
An object for detecting outliers in a Gaussian distributed dataset. Read more in the User Guide. Parameters
store_precisionbool, default=True
Specify if... | |
doc_10312 |
Return probability estimates for the test vector X. Parameters
Xarray-like of shape (n_samples, n_features)
Returns
Carray-like of shape (n_samples, n_classes)
Returns the probability of the samples for each class in the model. The columns correspond to the classes in sorted order, as they appear in the a... | |
doc_10313 | tf.compat.v1.train.range_input_producer(
limit, num_epochs=None, shuffle=True, seed=None, capacity=32, shared_name=None,
name=None
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Queue-based input pipelines have been replaced by tf.data. Use tf.data.Da... | |
doc_10314 |
Compute confusion matrix to evaluate the accuracy of a classification. By definition a confusion matrix \(C\) is such that \(C_{i, j}\) is equal to the number of observations known to be in group \(i\) and predicted to be in group \(j\). Thus in binary classification, the count of true negatives is \(C_{0,0}\), false... | |
doc_10315 | sklearn.preprocessing.robust_scale(X, *, axis=0, with_centering=True, with_scaling=True, quantile_range=25.0, 75.0, copy=True, unit_variance=False) [source]
Standardize a dataset along any axis Center to the median and component wise scale according to the interquartile range. Read more in the User Guide. Parameters... | |
doc_10316 | Unpacks and returns a variable length list of homogeneous items. First, the length of the list is unpacked as an unsigned integer, then each element is unpacked as in unpack_farray() above. | |
doc_10317 |
alias of numpy.single | |
doc_10318 |
Set multiple properties at once. Supported properties are
Property Description
agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array
alpha scalar or None
animated bool
clip_box Bbox
clip_on bool
clip_path Patch or (Path, Transform) or None
d... | |
doc_10319 | Computes the bitwise AND of input and other. The input tensor must be of integral or Boolean types. For bool tensors, it computes the logical AND. Parameters
input – the first input tensor
other – the second input tensor Keyword Arguments
out (Tensor, optional) – the output tensor. Example >>> torch.bitwise_a... | |
doc_10320 | Deprecated since version 3.9: Deprecated in favor of status. | |
doc_10321 | See Migration guide for more details. tf.compat.v1.raw_ops.MapStage
tf.raw_ops.MapStage(
key, indices, values, dtypes, capacity=0, memory_limit=0,
container='', shared_name='', name=None
)
Args
key A Tensor of type int64. int64
indices A Tensor of type int32.
values A list of Tensor obje... | |
doc_10322 |
Compute the homogeneity and completeness and V-Measure scores at once. Those metrics are based on normalized conditional entropy measures of the clustering labeling to evaluate given the knowledge of a Ground Truth class labels of the same samples. A clustering result satisfies homogeneity if all of its clusters cont... | |
doc_10323 |
Set the artist's clip Bbox. Parameters
clipboxBbox | |
doc_10324 |
Return the maximum along a given axis. Parameters
axis{None, int}, optional
Axis along which to operate. By default, axis is None and the flattened input is used.
outarray_like, optional
Alternative output array in which to place the result. Must be of the same shape and buffer length as the expected output... | |
doc_10325 | email.contentmanager.set_content(msg, <'bytes'>, maintype, subtype, cte="base64", disposition=None, filename=None, cid=None, params=None, headers=None)
email.contentmanager.set_content(msg, <'EmailMessage'>, cte=None, disposition=None, filename=None, cid=None, params=None, headers=None)
Add headers and payload to m... | |
doc_10326 | tf.train.Checkpoint(
root=None, **kwargs
)
TensorFlow objects may contain trackable state, such as tf.Variables, tf.keras.optimizers.Optimizer implementations, tf.data.Dataset iterators, tf.keras.Layer implementations, or tf.keras.Model implementations. These are called trackable objects. A Checkpoint object can b... | |
doc_10327 | See Migration guide for more details. tf.compat.v1.keras.layers.ZeroPadding3D
tf.keras.layers.ZeroPadding3D(
padding=(1, 1, 1), data_format=None, **kwargs
)
Examples:
input_shape = (1, 1, 2, 2, 3)
x = np.arange(np.prod(input_shape)).reshape(input_shape)
y = tf.keras.layers.ZeroPadding3D(padding=2)(x)
print(y.sh... | |
doc_10328 |
Set whether the artist is intended to be used in an animation. If True, the artist is excluded from regular drawing of the figure. You have to call Figure.draw_artist / Axes.draw_artist explicitly on the artist. This appoach is used to speed up animations using blitting. See also matplotlib.animation and Faster rende... | |
doc_10329 | See Migration guide for more details. tf.compat.v1.feature_column.crossed_column
tf.feature_column.crossed_column(
keys, hash_bucket_size, hash_key=None
)
Crossed features will be hashed according to hash_bucket_size. Conceptually, the transformation can be thought of as: Hash(cartesian product of features) % ha... | |
doc_10330 | Act like Generator, except that for any subpart of the message passed to Generator.flatten(), if the subpart is of main type text, print the decoded payload of the subpart, and if the main type is not text, instead of printing it fill in the string fmt using information from the part and print the resulting filled-in s... | |
doc_10331 |
Return the snap setting. See set_snap for details. | |
doc_10332 |
Generates a sample_shape shaped sample or sample_shape shaped batch of samples if the distribution parameters are batched. Samples first from base distribution and applies transform() for every transform in the list. | |
doc_10333 | Wraps a stream so that it doesn’t read more than n bytes. If the stream is exhausted and the caller tries to get more bytes from it on_exhausted() is called which by default returns an empty string. The return value of that function is forwarded to the reader function. So if it returns an empty string read() will retur... | |
doc_10334 |
Return Pearson product-moment correlation coefficients. Please refer to the documentation for cov for more detail. The relationship between the correlation coefficient matrix, R, and the covariance matrix, C, is \[R_{ij} = \frac{ C_{ij} } { \sqrt{ C_{ii} * C_{jj} } }\] The values of R are between -1 and 1, inclusive... | |
doc_10335 |
Plot a 2D field of arrows. Call signature: quiver([X, Y], U, V, [C], **kw)
X, Y define the arrow locations, U, V define the arrow directions, and C optionally sets the color. Each arrow is internally represented by a filled polygon with a default edge linewidth of 0. As a result, an arrow is rather a filled area, no... | |
doc_10336 | return smoothscale filter version in use: 'GENERIC', 'MMX', or 'SSE' get_smoothscale_backend() -> String Shows whether or not smoothscale is using MMX or SSE acceleration. If no acceleration is available then "GENERIC" is returned. For a x86 processor the level of acceleration to use is determined at runtime. This fu... | |
doc_10337 | Returns a new tensor with the hyperbolic cosine of the elements of input. outi=cosh(inputi)\text{out}_{i} = \cosh(\text{input}_{i})
Parameters
input (Tensor) – the input tensor. Keyword Arguments
out (Tensor, optional) – the output tensor. Example: >>> a = torch.randn(4)
>>> a
tensor([ 0.1632, 1.1835, -0.697... | |
doc_10338 | Return the FreeType version get_version() -> (int, int, int) Returns the version of the FreeType library in use by this module. Note that the freetype module depends on the FreeType 2 library. It will not compile with the original FreeType 1.0. Hence, the first element of the tuple will always be "2". | |
doc_10339 | Asserts that the JSON fragments raw and expected_data are equal. Usual JSON non-significant whitespace rules apply as the heavyweight is delegated to the json library. Output in case of error can be customized with the msg argument. | |
doc_10340 |
Detect missing values. Return a boolean same-sized object indicating if the values are NA. NA values, such as None or numpy.NaN, gets mapped to True values. Everything else gets mapped to False values. Characters such as empty strings '' or numpy.inf are not considered NA values (unless you set pandas.options.mode.us... | |
doc_10341 |
Predict using the linear model. Parameters
Xarray-like or sparse matrix, shape (n_samples, n_features)
Samples. Returns
Carray, shape (n_samples,)
Returns predicted values. | |
doc_10342 | tf.data.experimental.CsvDataset(
filenames, record_defaults, compression_type=None, buffer_size=None,
header=False, field_delim=',', use_quote_delim=True,
na_value='', select_cols=None, exclude_cols=None
)
Args
filenames A tf.string tensor containing one or more filenames.
record_defaults A ... | |
doc_10343 | Like pbkdf2_bin(), but returns a hex-encoded string. Parameters
data (Union[str, bytes]) – the data to derive.
salt (Union[str, bytes]) – the salt for the derivation.
iterations (int) – the number of iterations.
keylen (Optional[int]) – the length of the resulting key. If not provided, the digest size will be us... | |
doc_10344 | tf.experimental.numpy.fliplr(
m
)
See the NumPy documentation for numpy.fliplr. | |
doc_10345 | Complete the parsing of all previously fed data and return the root message object. It is undefined what happens if feed() is called after this method has been called. | |
doc_10346 | tf.experimental.numpy.full_like(
a, fill_value, dtype=None, order='K', subok=True, shape=None
)
order, subok and shape arguments mustn't be changed. See the NumPy documentation for numpy.full_like. | |
doc_10347 |
Get parameters of this kernel. Parameters
deepbool, default=True
If True, will return the parameters for this estimator and contained subobjects that are estimators. Returns
paramsdict
Parameter names mapped to their values. | |
doc_10348 |
Method representing the thread's activity. You may override this method in a subclass. The standard run() method invokes the callable object passed to the object's constructor as the target argument, if any, with sequential and keyword arguments taken from the args and kwargs arguments, respectively. | |
doc_10349 | Delete the breakpoints in filename and lineno. If none were set, an error message is returned. | |
doc_10350 | Block until all items in the queue have been received and processed. The count of unfinished tasks goes up whenever an item is added to the queue. The count goes down whenever a consumer coroutine calls task_done() to indicate that the item was retrieved and all work on it is complete. When the count of unfinished task... | |
doc_10351 |
Set the figure's background patch visibility, i.e. whether the figure background will be drawn. Equivalent to Figure.patch.set_visible(). Parameters
bbool | |
doc_10352 |
Save an array to a text file. Parameters
fnamefilename or file handle
If the filename ends in .gz, the file is automatically saved in compressed gzip format. loadtxt understands gzipped files transparently.
X1D or 2D array_like
Data to be saved to a text file.
fmtstr or sequence of strs, optional
A sing... | |
doc_10353 |
Implements Adam algorithm. It has been proposed in Adam: A Method for Stochastic Optimization. The implementation of the L2 penalty follows changes proposed in Decoupled Weight Decay Regularization. Parameters
params (iterable) – iterable of parameters to optimize or dicts defining parameter groups
lr (float, op... | |
doc_10354 |
Get parameters of this kernel. Parameters
deepbool, default=True
If True, will return the parameters for this estimator and contained subobjects that are estimators. Returns
paramsdict
Parameter names mapped to their values. | |
doc_10355 | See Migration guide for more details. tf.compat.v1.keras.preprocessing.sequence.pad_sequences
tf.keras.preprocessing.sequence.pad_sequences(
sequences, maxlen=None, dtype='int32', padding='pre',
truncating='pre', value=0.0
)
This function transforms a list (of length num_samples) of sequences (lists of integ... | |
doc_10356 |
[Deprecated] Notes Deprecated since version 3.5: | |
doc_10357 |
Return the common filling value of two masked arrays, if any. If a.fill_value == b.fill_value, return the fill value, otherwise return None. Parameters
a, bMaskedArray
The masked arrays for which to compare fill values. Returns
fill_valuescalar or None
The common fill value, or None. Examples >>> x ... | |
doc_10358 |
Conform Series to new index with optional filling logic. Places NA/NaN in locations having no value in the previous index. A new object is produced unless the new index is equivalent to the current one and copy=False. Parameters
index:array-like, optional
New labels / index to conform to, should be specified us... | |
doc_10359 | Returns sampling frequency. | |
doc_10360 | Path to the file of the module. | |
doc_10361 | See Migration guide for more details. tf.compat.v1.keras.datasets.imdb.load_data
tf.keras.datasets.imdb.load_data(
path='imdb.npz', num_words=None, skip_top=0, maxlen=None, seed=113,
start_char=1, oov_char=2, index_from=3, **kwargs
)
This is a dataset of 25,000 movies reviews from IMDB, labeled by sentiment ... | |
doc_10362 | Convert the JSON representation back to the correct type. The tag will already be removed. Parameters
value (Any) – Return type
Any | |
doc_10363 |
Insert a call_module Node into the Graph. A call_module node represents a call to the forward() function of a Module in the Module hierarchy. Parameters
module_name (str) – The qualified name of the Module in the Module hierarchy to be called. For example, if the traced Module has a submodule named foo, which has... | |
doc_10364 |
Rearranges the elements in the array in such a way that the value of the element in kth position is in the position it would be in a sorted array. All elements smaller than the kth element are moved before this element and all equal or greater are moved behind it. The ordering of the elements in the two partitions is... | |
doc_10365 | If the specified sound cannot be found, do not play the system default sound. | |
doc_10366 | Return the attributes of the font. | |
doc_10367 |
Draw a glyph described by info to the reference point (ox, oy). | |
doc_10368 | A context manager that replaces sys.stderr with sys.__stderr__. | |
doc_10369 | alias of flask.templating.Environment | |
doc_10370 | tf.compat.v1.train.batch_join(
tensors_list, batch_size, capacity=32, enqueue_many=False, shapes=None,
dynamic_pad=False, allow_smaller_final_batch=False, shared_name=None, name=None
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Queue-based input pip... | |
doc_10371 | This is an instance of Repr which is used to provide the repr() function described below. Changing the attributes of this object will affect the size limits used by repr() and the Python debugger. | |
doc_10372 |
Add a centered suptitle to the figure. Parameters
tstr
The suptitle text.
xfloat, default: 0.5
The x location of the text in figure coordinates.
yfloat, default: 0.98
The y location of the text in figure coordinates.
horizontalalignment, ha{'center', 'left', 'right'}, default: center
The horizontal ... | |
doc_10373 |
Local top-hat of an image. This filter computes the morphological opening of the image and then subtracts the result from the original image. Parameters
image2-D array (integer or float)
Input image.
selem2-D array (integer or float)
The neighborhood expressed as a 2-D array of 1’s and 0’s.
out2-D array (... | |
doc_10374 |
A Chebyshev series class. The Chebyshev class provides the standard Python numerical methods ‘+’, ‘-’, ‘*’, ‘//’, ‘%’, ‘divmod’, ‘**’, and ‘()’ as well as the methods listed below. Parameters
coefarray_like
Chebyshev coefficients in order of increasing degree, i.e., (1, 2, 3) gives 1*T_0(x) + 2*T_1(x) + 3*T_2(x... | |
doc_10375 | This method is not defined in BaseHandler, but subclasses should define it if they want to handle URLs with the given protocol. This method, if defined, will be called by the parent OpenerDirector. Return values should be the same as for default_open(). | |
doc_10376 | This function imports and returns the named module. Unlike a normal import, this function raises unittest.SkipTest if the module cannot be imported. Module and package deprecation messages are suppressed during this import if deprecated is True. If a module is required on a platform but optional for others, set require... | |
doc_10377 | Classmethod that converts a float to a decimal number, exactly. Note Decimal.from_float(0.1) is not the same as Decimal(‘0.1’). Since 0.1 is not exactly representable in binary floating point, the value is stored as the nearest representable value which is 0x1.999999999999ap-4. That equivalent value in decimal is 0.100... | |
doc_10378 |
Return whether face is colored. | |
doc_10379 | Close the ndbm database. | |
doc_10380 | Decrements interval timer only when the process is executing, and delivers SIGVTALRM upon expiration. | |
doc_10381 | tf.gather(
params, indices, validate_indices=None, axis=None, batch_dims=0, name=None
)
Gather slices from params axis axis according to indices. indices must be an integer tensor of any dimension (usually 0-D or 1-D). For 0-D (scalar) indices: $$\begin{align*} output[p_0, ..., p_{axis-1}, && &&& p_{axis + 1}, ..... | |
doc_10382 | class ast.Sub
class ast.Mult
class ast.Div
class ast.FloorDiv
class ast.Mod
class ast.Pow
class ast.LShift
class ast.RShift
class ast.BitOr
class ast.BitXor
class ast.BitAnd
class ast.MatMult
Binary operator tokens. | |
doc_10383 | Invalidates the cache for a cached_property: >>> class Test(object):
... @cached_property
... def magic_number(self):
... print("recalculating...")
... return 42
...
>>> var = Test()
>>> var.magic_number
recalculating...
42
>>> var.magic_number
42
>>> invalidate_cached_property(var, "magic_numbe... | |
doc_10384 |
Draw samples from the Dirichlet distribution. Draw size samples of dimension k from a Dirichlet distribution. A Dirichlet-distributed random variable can be seen as a multivariate generalization of a Beta distribution. The Dirichlet distribution is a conjugate prior of a multinomial distribution in Bayesian inference... | |
doc_10385 | Return the number of ways to choose k items from n items without repetition and without order. Evaluates to n! / (k! * (n - k)!) when k <= n and evaluates to zero when k > n. Also called the binomial coefficient because it is equivalent to the coefficient of k-th term in polynomial expansion of the expression (1 + x) *... | |
doc_10386 | class sklearn.naive_bayes.CategoricalNB(*, alpha=1.0, fit_prior=True, class_prior=None, min_categories=None) [source]
Naive Bayes classifier for categorical features The categorical Naive Bayes classifier is suitable for classification with discrete features that are categorically distributed. The categories of each ... | |
doc_10387 | Change the current working directory to path. This function can support specifying a file descriptor. The descriptor must refer to an opened directory, not an open file. This function can raise OSError and subclasses such as FileNotFoundError, PermissionError, and NotADirectoryError. Raises an auditing event os.chdir w... | |
doc_10388 |
Try to choose the view limits intelligently. | |
doc_10389 |
Return whether this axes supports the pan/zoom button functionality. 3D axes objects do not use the pan/zoom button. | |
doc_10390 | Registers a forward pre-hook on the module. The hook will be called every time before forward() is invoked. It should have the following signature: hook(module, input) -> None or modified input
The input contains only the positional arguments given to the module. Keyword arguments won’t be passed to the hooks and only... | |
doc_10391 | Subdirectories in both a and b. | |
doc_10392 | items becomes the new selection. Changed in version 3.6: items can be passed as separate arguments, not just as a single tuple. | |
doc_10393 |
Return the label used for this artist in the legend. | |
doc_10394 | Extend the search path for the modules which comprise a package. Intended use is to place the following code in a package’s __init__.py: from pkgutil import extend_path
__path__ = extend_path(__path__, __name__)
This will add to the package’s __path__ all subdirectories of directories on sys.path named after the packa... | |
doc_10395 | import numba as nb
from numpy.random import PCG64
from timeit import timeit
bit_gen = PCG64()
next_d = bit_gen.cffi.next_double
state_addr = bit_gen.cffi.state_address
def normals(n, state):
out = np.empty(n)
for i in range((n + 1) // 2):
x1 = 2.0 * next_d(state) - 1.0
x2 = 2.0 * next_d(state... | |
doc_10396 | Configures a newly created user. This method is called immediately after a new user is created, and can be used to perform custom setup actions, such as setting the user’s groups based on attributes in an LDAP directory. Returns the user object. request is an HttpRequest and may be None if it wasn’t provided to authent... | |
doc_10397 | When st represents an 'eval' form, this function returns True, otherwise it returns False. This is useful, since code objects normally cannot be queried for this information using existing built-in functions. Note that the code objects created by compilest() cannot be queried like this either, and are identical to thos... | |
doc_10398 |
Computes the (weighted) graph of Neighbors for points in X Neighborhoods are restricted the points at a distance lower than radius. Read more in the User Guide. Parameters
Xarray-like of shape (n_samples, n_features) or BallTree
Sample data, in the form of a numpy array or a precomputed BallTree.
radiusfloat ... | |
doc_10399 | See Migration guide for more details. tf.compat.v1.PaddingFIFOQueue, tf.compat.v1.io.PaddingFIFOQueue, tf.compat.v1.queue.PaddingFIFOQueue
tf.queue.PaddingFIFOQueue(
capacity, dtypes, shapes, names=None, shared_name=None,
name='padding_fifo_queue'
)
A PaddingFIFOQueue may contain components with dynamic shap... |
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