_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_9700 |
Bases: matplotlib.ticker.Formatter Format tick values as a number. Parameters
useOffsetbool or float, default: rcParams["axes.formatter.useoffset"] (default: True)
Whether to use offset notation. See set_useOffset.
useMathTextbool, default: rcParams["axes.formatter.use_mathtext"] (default: False)
Whether to... | |
doc_9701 | Identical to the unpack_from() function, using the compiled format. The buffer’s size in bytes, starting at position offset, must be at least size. | |
doc_9702 |
Draw a Path instance using the given affine transform. | |
doc_9703 | See Migration guide for more details. tf.compat.v1.raw_ops.RecvTPUEmbeddingActivations
tf.raw_ops.RecvTPUEmbeddingActivations(
num_outputs, config, name=None
)
The TPU system performs the embedding lookups and aggregations specified by the arguments to TPUEmbeddingEnqueue(Integer/Sparse/SparseTensor)Batch. The r... | |
doc_9704 | Each time a telnet option is read on the input flow, this callback (if set) is called with the following parameters: callback(telnet socket, command (DO/DONT/WILL/WONT), option). No other action is done afterwards by telnetlib. | |
doc_9705 |
Remove the artist from the figure if possible. The effect will not be visible until the figure is redrawn, e.g., with FigureCanvasBase.draw_idle. Call relim to update the axes limits if desired. Note: relim will not see collections even if the collection was added to the axes with autolim = True. Note: there is no su... | |
doc_9706 |
Test if the end of each string element matches a pattern. Equivalent to str.endswith(). Parameters
pat:str
Character sequence. Regular expressions are not accepted.
na:object, default NaN
Object shown if element tested is not a string. The default depends on dtype of the array. For object-dtype, numpy.nan i... | |
doc_9707 | Accept: application/json
Might receive an error response indicating that the DELETE method is not allowed on that resource: HTTP/1.1 405 Method Not Allowed
Content-Type: application/json
Content-Length: 42
{"detail": "Method 'DELETE' not allowed."}
Validation errors are handled slightly differently, and will include... | |
doc_9708 |
Convert a MultiIndex to an Index of Tuples containing the level values. Returns
pd.Index
Index with the MultiIndex data represented in Tuples. See also MultiIndex.from_tuples
Convert flat index back to MultiIndex. Notes This method will simply return the caller if called by anything other than a MultiIn... | |
doc_9709 |
Set the image array. | |
doc_9710 |
Call self as a function. | |
doc_9711 | See Migration guide for more details. tf.compat.v1.raw_ops.StatefulStandardNormal
tf.raw_ops.StatefulStandardNormal(
resource, shape, dtype=tf.dtypes.float32, name=None
)
The generated values will have mean 0 and standard deviation 1.
Args
resource A Tensor of type resource. The handle of the resource v... | |
doc_9712 | Called before matching and building to keep the compiled rules in the correct order after things changed. Return type
None | |
doc_9713 |
Alias for set_edgecolor. | |
doc_9714 |
An extra-trees classifier. This class implements a meta estimator that fits a number of randomized decision trees (a.k.a. extra-trees) on various sub-samples of the dataset and uses averaging to improve the predictive accuracy and control over-fitting. Read more in the User Guide. Parameters
n_estimatorsint, defa... | |
doc_9715 |
Fit the model using X, y as training data. Parameters
Xarray-like of shape (n_samples, n_features)
Training data.
yarray-like of shape (n_samples,)
Target values. Returns
selfobject
returns an instance of self. | |
doc_9716 |
Roll provided date forward to next offset only if not on offset. Returns
TimeStamp
Rolled timestamp if not on offset, otherwise unchanged timestamp. | |
doc_9717 |
Compute elastic net path with coordinate descent. The elastic net optimization function varies for mono and multi-outputs. For mono-output tasks it is: 1 / (2 * n_samples) * ||y - Xw||^2_2
+ alpha * l1_ratio * ||w||_1
+ 0.5 * alpha * (1 - l1_ratio) * ||w||^2_2
For multi-output tasks it is: (1 / (2 * n_samples)) * ||... | |
doc_9718 | A convenience method which coerces the option in the specified section to a floating point number. See get() for explanation of raw, vars and fallback. | |
doc_9719 | class sklearn.exceptions.UndefinedMetricWarning [source]
Warning used when the metric is invalid Changed in version 0.18: Moved from sklearn.base. Attributes
args
Methods
with_traceback Exception.with_traceback(tb) – set self.__traceback__ to tb and return self.
with_traceback()
Exception.with_traceba... | |
doc_9720 |
Toggle the gridlines, and optionally set the properties of the lines. | |
doc_9721 |
Bases: matplotlib.colors.Normalize Normalize data with a set center. Useful when mapping data with an unequal rates of change around a conceptual center, e.g., data that range from -2 to 4, with 0 as the midpoint. Parameters
vcenterfloat
The data value that defines 0.5 in the normalization.
vminfloat, optiona... | |
doc_9722 | See Migration guide for more details. tf.compat.v1.app.flags.EnumFlag
tf.compat.v1.flags.EnumFlag(
name, default, help, enum_values, short_name=None, case_sensitive=True, **args
)
Attributes
value
Methods flag_type
flag_type()
Returns a str that describes the type of the flag.
Note: we use strings... | |
doc_9723 | The factory method of SocketHandler is here overridden to create a UDP socket (socket.SOCK_DGRAM). | |
doc_9724 |
Return the corners of this rectangle as an array of points. Specifically, this returns the array [[x0, y0], [x0, y1], [x1, y0], [x1, y1]]. | |
doc_9725 |
True if this transform has a corresponding inverse transform. | |
doc_9726 | Set a timeout on blocking socket operations. The value argument can be a nonnegative floating point number expressing seconds, or None. If a non-zero value is given, subsequent socket operations will raise a timeout exception if the timeout period value has elapsed before the operation has completed. If zero is given, ... | |
doc_9727 |
Filter: Select the p-values for an estimated false discovery rate This uses the Benjamini-Hochberg procedure. alpha is an upper bound on the expected false discovery rate. Read more in the User Guide. Parameters
score_funccallable, default=f_classif
Function taking two arrays X and y, and returning a pair of ar... | |
doc_9728 | tf.compat.v1.train.inverse_time_decay(
learning_rate, global_step, decay_steps, decay_rate, staircase=False, name=None
)
When training a model, it is often recommended to lower the learning rate as the training progresses. This function applies an inverse decay function to a provided initial learning rate. It requ... | |
doc_9729 |
Returns the number of splitting iterations in the cross-validator Parameters
Xarray-like of shape (n_samples, n_features)
Training data, where n_samples is the number of samples and n_features is the number of features.
yobject
Always ignored, exists for compatibility.
groupsobject
Always ignored, exist... | |
doc_9730 | Removes an arbitrary member of the dictionary (since there’s no concept of ordering), and returns a two value tuple containing the key and a list of all values for the key. Raises KeyError when called on an empty dictionary. For example: >>> q = QueryDict('a=1&a=2&a=3', mutable=True)
>>> q.popitem()
('a', ['1', '2', '3... | |
doc_9731 | The same as the ellipsis literal “...”. Special value used mostly in conjunction with extended slicing syntax for user-defined container data types. | |
doc_9732 | Prevents a TLSv1.3 connection. This option is only applicable in conjunction with PROTOCOL_TLS. It prevents the peers from choosing TLSv1.3 as the protocol version. TLS 1.3 is available with OpenSSL 1.1.1 or later. When Python has been compiled against an older version of OpenSSL, the flag defaults to 0. New in versio... | |
doc_9733 | See Migration guide for more details. tf.compat.v1.raw_ops.MaxPoolGradGradV2
tf.raw_ops.MaxPoolGradGradV2(
orig_input, orig_output, grad, ksize, strides, padding,
data_format='NHWC', name=None
)
Args
orig_input A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8... | |
doc_9734 | Add x to the left side of the deque. | |
doc_9735 |
Description of the Tool. str: Tooltip used if the Tool is included in a Toolbar. | |
doc_9736 |
Draw a series of Gouraud triangles. Parameters
points(N, 3, 2) array-like
Array of N (x, y) points for the triangles.
colors(N, 3, 4) array-like
Array of N RGBA colors for each point of the triangles.
transformmatplotlib.transforms.Transform
An affine transform to apply to the points. | |
doc_9737 |
Return a match score between variant1 and variant2. An exact match returns 0.0, otherwise 1.0. | |
doc_9738 |
Least squares fit of Hermite series to data. Return the coefficients of a HermiteE series of degree deg that is the least squares fit to the data values y given at points x. If y is 1-D the returned coefficients will also be 1-D. If y is 2-D multiple fits are done, one for each column of y, and the resulting coeffici... | |
doc_9739 |
Bases: object Sankey diagram. Sankey diagrams are a specific type of flow diagram, in which the width of the arrows is shown proportionally to the flow quantity. They are typically used to visualize energy or material or cost transfers between processes. Wikipedia (6/1/2011) Create a new Sankey instance. The optional... | |
doc_9740 | See Migration guide for more details. tf.compat.v1.raw_ops.FusedBatchNormV2
tf.raw_ops.FusedBatchNormV2(
x, scale, offset, mean, variance, epsilon=0.0001, exponential_avg_factor=1,
data_format='NHWC', is_training=True, name=None
)
Note that the size of 4D Tensors are defined by either "NHWC" or "NCHW". The s... | |
doc_9741 |
Attributes
level Level level
message string message
Class Variables
DEBUGGING 10
ERROR 40
FATAL 50
INFO 20
Level
UNKNOWN 0
WARN 30 | |
doc_9742 | tf.experimental.numpy.floor(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.floor. | |
doc_9743 | Helper to print a traceback from the timed code. Typical use: t = Timer(...) # outside the try/except
try:
t.timeit(...) # or t.repeat(...)
except Exception:
t.print_exc()
The advantage over the standard traceback is that source lines in the compiled template will be displayed. The optional file argum... | |
doc_9744 |
Fit KernelCenterer Parameters
Kndarray of shape (n_samples, n_samples)
Kernel matrix.
yNone
Ignored. Returns
selfobject
Fitted transformer. | |
doc_9745 | Removes all specified elements from a sparse tensor self and resizes self to the desired size and the number of sparse and dense dimensions. Parameters
size (torch.Size) – the desired size.
sparse_dim (int) – the number of sparse dimensions
dense_dim (int) – the number of dense dimensions | |
doc_9746 | Computes the dot product of two 1D tensors. The vdot(a, b) function handles complex numbers differently than dot(a, b). If the first argument is complex, the complex conjugate of the first argument is used for the calculation of the dot product. Note Unlike NumPy’s vdot, torch.vdot intentionally only supports computin... | |
doc_9747 | Applies a 1D average pooling over an input signal composed of several input planes. See AvgPool1d for details and output shape. Parameters
input – input tensor of shape (minibatch,in_channels,iW)(\text{minibatch} , \text{in\_channels} , iW)
kernel_size – the size of the window. Can be a single number or a tuple ... | |
doc_9748 | See Migration guide for more details. tf.compat.v1.raw_ops.RefNextIteration
tf.raw_ops.RefNextIteration(
data, name=None
)
Args
data A mutable Tensor. The tensor to be made available to the next iteration.
name A name for the operation (optional).
Returns A mutable Tensor. Has the same t... | |
doc_9749 |
Check if y is in a multilabel format. Parameters
yndarray of shape (n_samples,)
Target values. Returns
outbool
Return True, if y is in a multilabel format, else `False. Examples >>> import numpy as np
>>> from sklearn.utils.multiclass import is_multilabel
>>> is_multilabel([0, 1, 0, 1])
False
>>> is... | |
doc_9750 | See Migration guide for more details. tf.compat.v1.raw_ops.ExtractImagePatches
tf.raw_ops.ExtractImagePatches(
images, ksizes, strides, rates, padding, name=None
)
Args
images A Tensor. Must be one of the following types: bfloat16, half, float32, float64, int8, int16, int32, int64, uint8, uint16, uint32... | |
doc_9751 | internally process pygame event handlers pump() -> None For each frame of your game, you will need to make some sort of call to the event queue. This ensures your program can internally interact with the rest of the operating system. If you are not using other event functions in your game, you should call pygame.even... | |
doc_9752 |
A long short-term memory (LSTM) cell. A dynamic quantized LSTMCell module with floating point tensor as inputs and outputs. Weights are quantized to 8 bits. We adopt the same interface as torch.nn.LSTMCell, please see https://pytorch.org/docs/stable/nn.html#torch.nn.LSTMCell for documentation. Examples: >>> rnn = nn.... | |
doc_9753 | Pack the values v1, v2, … according to the format string format and write the packed bytes into the writable buffer buffer starting at position offset. Note that offset is a required argument. | |
doc_9754 |
Valid metrics for pairwise_distances. This function simply returns the valid pairwise distance metrics. It exists to allow for a description of the mapping for each of the valid strings. The valid distance metrics, and the function they map to, are:
metric Function
‘cityblock’ metrics.pairwise.manhattan_distanc... | |
doc_9755 | Return a string describing the differences between the expected output for a given example (example) and the actual output (got). optionflags is the set of option flags used to compare want and got. | |
doc_9756 |
Set the parameters of this estimator. The method works on simple estimators as well as on nested objects (such as Pipeline). The latter have parameters of the form <component>__<parameter> so that it’s possible to update each component of a nested object. Parameters
**paramsdict
Estimator parameters. Returns... | |
doc_9757 | Firstly, the syntax for bytes literals is largely the same as that for string literals, except that a b prefix is added: Single quotes: b'still allows embedded "double" quotes'
Double quotes: b"still allows embedded 'single' quotes". Triple quoted: b'''3 single quotes''', b"""3 double quotes"""
Only ASCII character... | |
doc_9758 |
Compute the eigenvalues of a general matrix. Main difference between eigvals and eig: the eigenvectors aren’t returned. Parameters
a(…, M, M) array_like
A complex- or real-valued matrix whose eigenvalues will be computed. Returns
w(…, M,) ndarray
The eigenvalues, each repeated according to its multiplic... | |
doc_9759 |
Set the (group) id for the artist. Parameters
gidstr | |
doc_9760 | Return a shallow copy of x. | |
doc_9761 | draw text on a new Surface render(text, antialias, color, background=None) -> Surface This creates a new Surface with the specified text rendered on it. pygame provides no way to directly draw text on an existing Surface: instead you must use Font.render() to create an image (Surface) of the text, then blit this imag... | |
doc_9762 |
Bases: matplotlib.mathtext.MathtextBackend [Deprecated] Store information to write a mathtext rendering to the PostScript backend. Notes Deprecated since version 3.4. get_results(box, used_characters)[source]
Return a backend-specific tuple to return to the backend after all processing is done.
render_glyph... | |
doc_9763 | Convert a single line of uuencoded data back to binary and return the binary data. Lines normally contain 45 (binary) bytes, except for the last line. Line data may be followed by whitespace. | |
doc_9764 |
Predict confidence scores for samples. The confidence score for a sample is proportional to the signed distance of that sample to the hyperplane. Parameters
Xarray-like or sparse matrix, shape (n_samples, n_features)
Samples. Returns
array, shape=(n_samples,) if n_classes == 2 else (n_samples, n_classes)
... | |
doc_9765 |
Fit the model and recover the sources from X. Parameters
Xarray-like of shape (n_samples, n_features)
Training data, where n_samples is the number of samples and n_features is the number of features.
yIgnored
Returns
X_newndarray of shape (n_samples, n_components) | |
doc_9766 |
Display a message on a device. Parameters
mesgstr
Message to display.
deviceobject
Device to write message. If None, defaults to sys.stdout which is very similar to print. device needs to have write() and flush() methods.
linefeedbool, optional
Option whether to print a line feed or not. Defaults to Tru... | |
doc_9767 | Tokenize a source reading unicode strings instead of bytes. Like tokenize(), the readline argument is a callable returning a single line of input. However, generate_tokens() expects readline to return a str object rather than bytes. The result is an iterator yielding named tuples, exactly like tokenize(). It does not y... | |
doc_9768 | This installs the function _() in Python’s builtins namespace, based on domain, localedir, and codeset which are passed to the function translation(). For the names parameter, please see the description of the translation object’s install() method. As seen below, you usually mark the strings in your application that ar... | |
doc_9769 | os.SEEK_CUR
os.SEEK_END
Parameters to the lseek() function. Their values are 0, 1, and 2, respectively. New in version 3.3: Some operating systems could support additional values, like os.SEEK_HOLE or os.SEEK_DATA. | |
doc_9770 |
Get parameters for this estimator. 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_9771 | A message with Maildir-specific behaviors. Parameter message has the same meaning as with the Message constructor. Typically, a mail user agent application moves all of the messages in the new subdirectory to the cur subdirectory after the first time the user opens and closes the mailbox, recording that the messages ar... | |
doc_9772 | See Migration guide for more details. tf.compat.v1.assert_same_float_dtype, tf.compat.v1.debugging.assert_same_float_dtype
tf.debugging.assert_same_float_dtype(
tensors=None, dtype=None
)
For ops such as matrix multiplication, inputs and weights must be of the same float type. This function validates that all te... | |
doc_9773 |
A version of Python’s urllib.parse.urlencode() function that can operate on MultiValueDict and non-string values. | |
doc_9774 | See torch.sinc() | |
doc_9775 |
An ExtensionDtype for int32 integer data. Changed in version 1.0.0: Now uses pandas.NA as its missing value, rather than numpy.nan. Attributes
None Methods
None | |
doc_9776 | Ensure that item is visible. Sets all of item’s ancestors open option to True, and scrolls the widget if necessary so that item is within the visible portion of the tree. | |
doc_9777 | See Migration guide for more details. tf.compat.v1.raw_ops.EnqueueTPUEmbeddingSparseTensorBatch
tf.raw_ops.EnqueueTPUEmbeddingSparseTensorBatch(
sample_indices, embedding_indices, aggregation_weights, mode_override,
table_ids, device_ordinal=-1, combiners=[], max_sequence_lengths=[], name=None
)
sample_indic... | |
doc_9778 |
An array object represents a multidimensional, homogeneous array of fixed-size items. An associated data-type object describes the format of each element in the array (its byte-order, how many bytes it occupies in memory, whether it is an integer, a floating point number, or something else, etc.) Arrays should be con... | |
doc_9779 |
Run the GUI event loop for interval seconds. If there is an active figure, it will be updated and displayed before the pause, and the GUI event loop (if any) will run during the pause. This can be used for crude animation. For more complex animation use matplotlib.animation. If there is no active figure, sleep for in... | |
doc_9780 | Creates a new context. If a field is not specified or is None, the default values are copied from the DefaultContext. If the flags field is not specified or is None, all flags are cleared. prec is an integer in the range [1, MAX_PREC] that sets the precision for arithmetic operations in the context. The rounding option... | |
doc_9781 |
Alias for get_facecolor. | |
doc_9782 | This class represents Netscape, RFC 2109 and RFC 2965 cookies. It is not expected that users of http.cookiejar construct their own Cookie instances. Instead, if necessary, call make_cookies() on a CookieJar instance. | |
doc_9783 |
Return a 3-tuple containing ISO year, week number, and weekday. | |
doc_9784 | Indicates if the widget supports edition of 3D data (default is False). | |
doc_9785 | See Migration guide for more details. tf.compat.v1.strings.unicode_decode
tf.strings.unicode_decode(
input, input_encoding, errors='replace', replacement_char=65533,
replace_control_characters=False, name=None
)
result[i1...iN, j] is the Unicode codepoint for the jth character in input[i1...iN], when decoded... | |
doc_9786 |
This DDP communication hook implements PowerSGD gradient compression algorithm described in the paper. Once gradient tensors are aggregated across all workers, this hook applies compression as follows: Views the input flattened 1D gradient tensor as two groups of per-parameter tensors: high-rank tensors and vector-l... | |
doc_9787 | See Migration guide for more details. tf.compat.v1.raw_ops.Range
tf.raw_ops.Range(
start, limit, delta, name=None
)
This operation creates a sequence of numbers that begins at start and extends by increments of delta up to but not including limit. For example: # 'start' is 3
# 'limit' is 18
# 'delta' is 3
tf.ran... | |
doc_9788 |
class Comment:
def __init__(self, email, content, created=None):
self.email = email
self.content = content
self.created = created or datetime.now()
comment = Comment(email='leila@example.com', content='foo bar')
We'll declare a serializer that we can use to serialize and deserialize data ... | |
doc_9789 | filecmp.cmp(f1, f2, shallow=True)
Compare the files named f1 and f2, returning True if they seem equal, False otherwise. If shallow is true, files with identical os.stat() signatures are taken to be equal. Otherwise, the contents of the files are compared. Note that no external programs are called from this function,... | |
doc_9790 |
Set the parameters of this estimator. The method works on simple estimators as well as on nested objects (such as Pipeline). The latter have parameters of the form <component>__<parameter> so that it’s possible to update each component of a nested object. Parameters
**paramsdict
Estimator parameters. Returns... | |
doc_9791 |
Down-sample N-dimensional image by local averaging. The image is padded with cval if it is not perfectly divisible by the integer factors. In contrast to interpolation in skimage.transform.resize and skimage.transform.rescale this function calculates the local mean of elements in each block of size factors in the inp... | |
doc_9792 | False if a cdrom is in the drive get_empty() -> bool Return False if there is a cdrom currently in the drive. If the drive is empty this will return True. | |
doc_9793 |
Plot a pie chart. Make a pie chart of array x. The fractional area of each wedge is given by x/sum(x). If sum(x) < 1, then the values of x give the fractional area directly and the array will not be normalized. The resulting pie will have an empty wedge of size 1 - sum(x). The wedges are plotted counterclockwise, by ... | |
doc_9794 | Determines the message ID, event category and event type, and then logs the message in the NT event log. | |
doc_9795 | Parameters
fun – a function with no arguments
t – a number >= 0 Install a timer that calls fun after t milliseconds. >>> running = True
>>> def f():
... if running:
... fd(50)
... lt(60)
... screen.ontimer(f, 250)
>>> f() ### makes the turtle march around
>>> running = False | |
doc_9796 | turtle.lt(angle)
Parameters
angle – a number (integer or float) Turn turtle left by angle units. (Units are by default degrees, but can be set via the degrees() and radians() functions.) Angle orientation depends on the turtle mode, see mode(). >>> turtle.heading()
22.0
>>> turtle.left(45)
>>> turtle.heading()
67... | |
doc_9797 | Provides a dictionary, based on record, which is to be URL-encoded and sent to the web server. The default implementation just returns record.__dict__. This method can be overridden if e.g. only a subset of LogRecord is to be sent to the web server, or if more specific customization of what’s sent to the server is requ... | |
doc_9798 | tf.distribute.Strategy(
extended
)
See the guide for overview and examples. See tf.distribute.StrategyExtended and tf.distribute for a glossory of concepts mentioned on this page such as "per-replica", replica, and reduce. In short: To use it with Keras compile/fit, please read. You may pass descendant of tf.dist... | |
doc_9799 | The Map for this instance. You can use this to change the routing converters after the class was created but before any routes are connected. Example: from werkzeug.routing import BaseConverter
class ListConverter(BaseConverter):
def to_python(self, value):
return value.split(',')
def to_url(self, valu... |
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