_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_11300 | Exception raised when the source text into which substitutions are made does not conform to the required syntax. Subclass of InterpolationError. | |
doc_11301 | sklearn.metrics.calinski_harabasz_score(X, labels) [source]
Compute the Calinski and Harabasz score. It is also known as the Variance Ratio Criterion. The score is defined as ratio between the within-cluster dispersion and the between-cluster dispersion. Read more in the User Guide. Parameters
Xarray-like of shap... | |
doc_11302 | Computes the element-wise greatest common divisor (GCD) of input and other. Both input and other must have integer types. Note This defines gcd(0,0)=0gcd(0, 0) = 0 . Parameters
input (Tensor) – the input tensor.
other (Tensor) – the second input tensor Keyword Arguments
out (Tensor, optional) – the output ten... | |
doc_11303 |
Return unbiased standard error of the mean over requested axis. Normalized by N-1 by default. This can be changed using the ddof argument Parameters
axis:{index (0), columns (1)}
skipna:bool, default True
Exclude NA/null values. If an entire row/column is NA, the result will be NA.
level:int or level name, ... | |
doc_11304 |
Return a dictionary of all the properties of the artist. | |
doc_11305 |
Return a tuple of the array dimensions. | |
doc_11306 | See Migration guide for more details. tf.compat.v1.distribute.cluster_resolver.KubernetesClusterResolver
tf.distribute.cluster_resolver.KubernetesClusterResolver(
job_to_label_mapping=None, tf_server_port=8470, rpc_layer='grpc',
override_client=None
)
This is an implementation of cluster resolvers for Kubern... | |
doc_11307 |
Calculate the per-pixel errors, then compute the root mean square error. | |
doc_11308 |
Returns the type that results from applying the NumPy type promotion rules to the arguments. Type promotion in NumPy works similarly to the rules in languages like C++, with some slight differences. When both scalars and arrays are used, the array’s type takes precedence and the actual value of the scalar is taken in... | |
doc_11309 | tf.cumsum Compat aliases for migration See Migration guide for more details. tf.compat.v1.cumsum, tf.compat.v1.math.cumsum
tf.math.cumsum(
x, axis=0, exclusive=False, reverse=False, name=None
)
By default, this op performs an inclusive cumsum, which means that the first element of the input is identical to the f... | |
doc_11310 |
Find control points of the Bezier curve passing through (c1x, c1y), (mmx, mmy), and (c2x, c2y), at parametric values 0, 0.5, and 1. | |
doc_11311 |
Load the filenames and data from the 20 newsgroups dataset (classification). Download it if necessary.
Classes 20
Samples total 18846
Dimensionality 1
Features text Read more in the User Guide. Parameters
data_homestr, default=None
Specify a download and cache folder for the datasets. If None, all sci... | |
doc_11312 | Required. The absolute filesystem path to a directory from which this FilePathField should get its choices. Example: "/home/images". path may also be a callable, such as a function to dynamically set the path at runtime. Example: import os
from django.conf import settings
from django.db import models
def images_path()... | |
doc_11313 | tf.keras.layers.GlobalAvgPool3D Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.layers.GlobalAveragePooling3D, tf.compat.v1.keras.layers.GlobalAvgPool3D
tf.keras.layers.GlobalAveragePooling3D(
data_format=None, **kwargs
)
Arguments
data_format A string, one of chann... | |
doc_11314 | tf.square Compat aliases for migration See Migration guide for more details. tf.compat.v1.math.square, tf.compat.v1.square
tf.math.square(
x, name=None
)
I.e., \(y = x * x = x^2\).
tf.math.square([-2., 0., 3.])
<tf.Tensor: shape=(3,), dtype=float32, numpy=array([4., 0., 9.], dtype=float32)>
Args
x A T... | |
doc_11315 | tf.compat.v1.image.resize_image_with_pad(
image, target_height, target_width, method=ResizeMethodV1.BILINEAR,
align_corners=False
)
Resizes an image to a target width and height by keeping the aspect ratio the same without distortion. If the target dimensions don't match the image dimensions, the image is resi... | |
doc_11316 | Return the iterator object itself. This is required to allow both containers and iterators to be used with the for and in statements. This method corresponds to the tp_iter slot of the type structure for Python objects in the Python/C API. | |
doc_11317 |
Add audio data to summary. Parameters
tag (string) – Data identifier
snd_tensor (torch.Tensor) – Sound data
global_step (int) – Global step value to record
sample_rate (int) – sample rate in Hz
walltime (float) – Optional override default walltime (time.time()) seconds after epoch of event Shape:
snd_ten... | |
doc_11318 | See torch.nanquantile() | |
doc_11319 | A dotted import path to the default admin site’s class or to a callable that returns a site instance. Defaults to 'django.contrib.admin.sites.AdminSite'. See Overriding the default admin site for usage. | |
doc_11320 | Controls the migration framework’s reaction if this ForeignKey is pointing at a swappable model. If it is True - the default - then if the ForeignKey is pointing at a model which matches the current value of settings.AUTH_USER_MODEL (or another swappable model setting) the relationship will be stored in the migration u... | |
doc_11321 | A context manager to force import to return a new module reference. This is useful for testing module-level behaviors, such as the emission of a DeprecationWarning on import. Example usage: with CleanImport('foo'):
importlib.import_module('foo') # New reference. | |
doc_11322 | what exactly seq is. Is it a single value to be altered in-place? Is it an array, and if so what is its length? Is it input-only? Output-only? Input-output? SWIG cannot determine these details, and does not attempt to do so. If we designed rms, we probably made it a routine that takes an input-only array of length n o... | |
doc_11323 | The content of the processing instruction up to the first whitespace character. This is a read-only attribute. | |
doc_11324 | Width of the terminal window in characters. | |
doc_11325 | The class used to build the test suite. By default it is set to unittest.TestSuite. This can be overridden if you wish to implement different logic for collecting tests. | |
doc_11326 |
Compute the bit-wise XOR of two arrays element-wise. Computes the bit-wise XOR of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator ^. Parameters
x1, x2array_like
Only integer and boolean types are handled. If x1.shape != x2.shape, they must be... | |
doc_11327 |
Alias for get_linestyle. | |
doc_11328 |
Draw samples from a Wald, or inverse Gaussian, distribution. As the scale approaches infinity, the distribution becomes more like a Gaussian. Some references claim that the Wald is an inverse Gaussian with mean equal to 1, but this is by no means universal. The inverse Gaussian distribution was first studied in relat... | |
doc_11329 | Number of memory blocks (int). | |
doc_11330 |
Set the font style. Values are: 'normal', 'italic' or 'oblique'. | |
doc_11331 | A StackSummary representing the traceback. | |
doc_11332 |
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_11333 | Class implementing bounded semaphore objects. A bounded semaphore checks to make sure its current value doesn’t exceed its initial value. If it does, ValueError is raised. In most situations semaphores are used to guard resources with limited capacity. If the semaphore is released too many times it’s a sign of a bug. I... | |
doc_11334 |
Compute max of group values. Parameters
numeric_only:bool, default False
Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data.
min_count:int, default -1
The required number of valid values to perform the operation. If fewer than min_count non-NA value... | |
doc_11335 |
Return the text angle in degrees between 0 and 360. | |
doc_11336 | tf.losses.cosine_similarity Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.cosine, tf.compat.v1.keras.losses.cosine_proximity, tf.compat.v1.keras.losses.cosine_similarity, tf.compat.v1.keras.metrics.cosine, tf.compat.v1.keras.metrics.cosine_proximity
tf.keras.losses.cosin... | |
doc_11337 |
Transform a sequence of documents to a document-term matrix. Parameters
Xiterable over raw text documents, length = n_samples
Samples. Each sample must be a text document (either bytes or unicode strings, file name or file object depending on the constructor argument) which will be tokenized and hashed. Retu... | |
doc_11338 | The entry’s full path name: equivalent to os.path.join(scandir_path,
entry.name) where scandir_path is the scandir() path argument. The path is only absolute if the scandir() path argument was absolute. If the scandir() path argument was a file descriptor, the path attribute is the same as the name attribute. The path ... | |
doc_11339 |
Return threshold value based on Otsu’s method. Either image or hist must be provided. If hist is provided, the actual histogram of the image is ignored. Parameters
image(N, M) ndarray, optional
Grayscale input image.
nbinsint, optional
Number of bins used to calculate histogram. This value is ignored for in... | |
doc_11340 |
Predicate: does the path need to be filled? An optional argument can be used to specify an alternative _fillcolor, as needed by RendererPdf.draw_markers. | |
doc_11341 | A base transport for read-only connections. Instances of the ReadTransport class are returned from the loop.connect_read_pipe() event loop method and are also used by subprocess-related methods like loop.subprocess_exec(). | |
doc_11342 |
Raises RuntimeError if ninja build system is not available on the system, does nothing otherwise. | |
doc_11343 | Similar to CGIHandler, but instead of using the sys and os modules, the CGI environment and I/O streams are specified explicitly. The multithread and multiprocess values are used to set the wsgi.multithread and wsgi.multiprocess flags for any applications run by the handler instance. This class is a subclass of SimpleH... | |
doc_11344 | Set a parameter in the Content-Type header. If the parameter already exists in the header, its value will be replaced with value. If the Content-Type header as not yet been defined for this message, it will be set to text/plain and the new parameter value will be appended as per RFC 2045. Optional header specifies an a... | |
doc_11345 | See Migration guide for more details. tf.compat.v1.raw_ops.CudnnRNNParamsToCanonical
tf.raw_ops.CudnnRNNParamsToCanonical(
num_layers, num_units, input_size, params, num_params,
rnn_mode='lstm', input_mode='linear_input',
direction='unidirectional', dropout=0, seed=0, seed2=0, name=None
)
Retrieves a set... | |
doc_11346 | The date and time of the action. | |
doc_11347 |
Returns a copy of the calling offset object with n=1 and all other attributes equal. | |
doc_11348 |
Returns the current strategy for sharing CPU tensors. | |
doc_11349 | Return the “identity” of an object. This is an integer which is guaranteed to be unique and constant for this object during its lifetime. Two objects with non-overlapping lifetimes may have the same id() value. CPython implementation detail: This is the address of the object in memory. Raises an auditing event builti... | |
doc_11350 | See Migration guide for more details. tf.compat.v1.raw_ops.DebugGradientIdentity
tf.raw_ops.DebugGradientIdentity(
input, name=None
)
This op is hidden from public in Python. It is used by TensorFlow Debugger to register gradient tensors for gradient debugging. This op operates on non-reference-type tensors.
... | |
doc_11351 | The excel_tab class defines the usual properties of an Excel-generated TAB-delimited file. It is registered with the dialect name 'excel-tab'. | |
doc_11352 | Sends the record to the Web server as a URL-encoded dictionary. The mapLogRecord() method is used to convert the record to the dictionary to be sent. | |
doc_11353 | See torch.divide() | |
doc_11354 |
Bases: matplotlib.colors.Normalize Linearly map a given value to the 0-1 range and then apply a power-law normalization over that range. Parameters
vmin, vmaxfloat or None
If vmin and/or vmax is not given, they are initialized from the minimum and maximum value, respectively, of the first input processed; i.e.,... | |
doc_11355 |
Alias for set_xlim3d. | |
doc_11356 | tf.data.experimental.save(
dataset, path, compression=None, shard_func=None
)
Example usage:
import tempfile
path = os.path.join(tempfile.gettempdir(), "saved_data")
# Save a dataset
dataset = tf.data.Dataset.range(2)
tf.data.experimental.save(dataset, path)
new_dataset = tf.data.experimental.load(path,
tf.Te... | |
doc_11357 |
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_11358 |
Return the path to Matplotlib data. | |
doc_11359 |
Bases: matplotlib.projections.geo.GeoAxes Build an Axes in a figure. Parameters
figFigure
The Axes is built in the Figure fig.
rect[left, bottom, width, height]
The Axes is built in the rectangle rect. rect is in Figure coordinates.
sharex, shareyAxes, optional
The x or y axis is shared with the x or y ... | |
doc_11360 | See Migration guide for more details. tf.compat.v1.fill
tf.fill(
dims, value, name=None
)
See also tf.ones, tf.zeros, tf.one_hot, tf.eye. This operation creates a tensor of shape dims and fills it with value. For example:
tf.fill([2, 3], 9)
<tf.Tensor: shape=(2, 3), dtype=int32, numpy=
array([[9, 9, 9],
... | |
doc_11361 | Return True if sys.executable interpreter requires environment variables in order to be able to run at all. This is designed to be used with @unittest.skipIf() to annotate tests that need to use an assert_python*() function to launch an isolated mode (-I) or no environment mode (-E) sub-interpreter process. A normal bu... | |
doc_11362 | Determine whether code is in tableC.2.2 (Non-ASCII control characters). | |
doc_11363 |
Reorder categories as specified in new_categories. new_categories need to include all old categories and no new category items. Parameters
new_categories:Index-like
The categories in new order.
ordered:bool, optional
Whether or not the categorical is treated as a ordered categorical. If not given, do not ch... | |
doc_11364 | Selects the specified tab_id. The associated child window will be displayed, and the previously-selected window (if different) is unmapped. If tab_id is omitted, returns the widget name of the currently selected pane. | |
doc_11365 | Stop the process used by the manager. This is only available if start() has been used to start the server process. This can be called multiple times. | |
doc_11366 | NONE: This is the default, giving an error if you use a variable-update operation with multiple replicas.
SUM: Add the updates across replicas.
MEAN: Take the arithmetic mean ("average") of the updates across replicas.
ONLY_FIRST_REPLICA: This is for when every replica is performing the same update, but we only want... | |
doc_11367 |
This is the quantized version of GroupNorm. Additional args:
scale - quantization scale of the output, type: double.
zero_point - quantization zero point of the output, type: long. | |
doc_11368 | A convenient way to execute examples is the %doctest_mode mode of IPython, which allows for pasting of multi-line examples and preserves indentation.
Array creation routines From shape or value From existing data Creating record arrays (numpy.rec) Creating character arrays (numpy.char) Numerical ranges Building matr... | |
doc_11369 |
Return whether y values increase from top to bottom. Note that this only affects drawing of texts and images. | |
doc_11370 | remove all Sprites empty() -> None Removes all Sprites from this Group. | |
doc_11371 |
Return the alpha value used for blending - not supported on all backends. | |
doc_11372 |
Return a view of the array with axis1 and axis2 interchanged. Refer to numpy.swapaxes for full documentation. See also numpy.swapaxes
equivalent function | |
doc_11373 | 'blogs.blog': lambda o: "/blogs/%s/" % o.slug,
'news.story': lambda o: "/stories/%s/%s/" % (o.pub_year, o.slug),
}
The model name used in this setting should be all lowercase, regardless of the case of the actual model class name. ADMINS Default: [] (Empty list) A list of all the people who get code error noti... | |
doc_11374 | See Migration guide for more details. tf.compat.v1.data.experimental.bytes_produced_stats
tf.data.experimental.bytes_produced_stats(
tag
)
To consume the statistics, associate a StatsAggregator with the output dataset.
Args
tag String. All statistics recorded by the returned transformation will be assoc... | |
doc_11375 | See Migration guide for more details. tf.compat.v1.raw_ops.BandedTriangularSolve
tf.raw_ops.BandedTriangularSolve(
matrix, rhs, lower=True, adjoint=False, name=None
)
Args
matrix A Tensor. Must be one of the following types: float64, float32, half, complex64, complex128.
rhs A Tensor. Must have th... | |
doc_11376 | Round towards zero. | |
doc_11377 |
Add a SubFigure to the figure as part of a subplot arrangement. Parameters
subplotspecgridspec.SubplotSpec
Defines the region in a parent gridspec where the subfigure will be placed. Returns
figure.SubFigure
Other Parameters
**kwargs
Are passed to the SubFigure object. See also Figure.subfigures | |
doc_11378 | The size, in bytes, of the exported buffer. length -> int The number of valid bytes of data exported. For discontinuous data, that is data which is not a single block of memory, the bytes within the gaps are excluded from the count. This property is equivalent to the Py_buffer C struct len field. | |
doc_11379 | List a directory in a standardized format by using MLSD command (RFC 3659). If path is omitted the current directory is assumed. facts is a list of strings representing the type of information desired (e.g. ["type", "size", "perm"]). Return a generator object yielding a tuple of two elements for every file found in pat... | |
doc_11380 | Return True if the event queue is empty. | |
doc_11381 | Make the response conditional to the request. This method works best if an etag was defined for the response already. The add_etag method can be used to do that. If called without etag just the date header is set. This does nothing if the request method in the request or environ is anything but GET or HEAD. For optimal... | |
doc_11382 | The name of the last matched capturing group, or None if the group didn’t have a name, or if no group was matched at all. | |
doc_11383 | Send a LIST or LIST ACTIVE command. Return a pair (response, list) where list is a list of tuples representing all the groups available from this NNTP server, optionally matching the pattern string group_pattern. Each tuple has the form (group, last, first, flag), where group is a group name, last and first are the las... | |
doc_11384 | See Migration guide for more details. tf.compat.v1.estimator.LoggingTensorHook, tf.compat.v1.train.LoggingTensorHook
tf.estimator.LoggingTensorHook(
tensors, every_n_iter=None, every_n_secs=None, at_end=False, formatter=None
)
The tensors will be printed to the log, with INFO severity. If you are not seeing the ... | |
doc_11385 | Current line number in the parser input. | |
doc_11386 |
Generate config.py file containing system_info information used during building the package. Usage:
config[‘py_modules’].append((packagename, ‘__config__’,generate_config_py)) | |
doc_11387 | See Migration guide for more details. tf.compat.v1.linalg.matvec
tf.linalg.matvec(
a, b, transpose_a=False, adjoint_a=False, a_is_sparse=False, b_is_sparse=False,
name=None
)
The matrix a must, following any transpositions, be a tensor of rank >= 2, with shape(a)[-1] == shape(b)[-1], and shape(a)[:-2] able t... | |
doc_11388 |
Calculate all normalized central image moments up to a certain order. Note that normalized central moments are translation and scale invariant but not rotation invariant. Parameters
mu(M,[ …,] M) array
Central image moments, where M must be greater than or equal to order.
orderint, optional
Maximum order of... | |
doc_11389 |
Alias for get_linewidth. | |
doc_11390 | Result of a Signature.bind() or Signature.bind_partial() call. Holds the mapping of arguments to the function’s parameters.
arguments
A mutable mapping of parameters’ names to arguments’ values. Contains only explicitly bound arguments. Changes in arguments will reflect in args and kwargs. Should be used in conjunc... | |
doc_11391 |
Return random bytes. Parameters
lengthint
Number of random bytes. Returns
outbytes
String of length length. Examples >>> np.random.default_rng().bytes(10)
b'\xfeC\x9b\x86\x17\xf2\xa1\xafcp' # random | |
doc_11392 | This is the repr() method of aRepr. It returns a string similar to that returned by the built-in function of the same name, but with limits on most sizes. | |
doc_11393 | A BaseSelector is used to wait for I/O event readiness on multiple file objects. It supports file stream registration, unregistration, and a method to wait for I/O events on those streams, with an optional timeout. It’s an abstract base class, so cannot be instantiated. Use DefaultSelector instead, or one of SelectSele... | |
doc_11394 |
Draw samples from a uniform distribution. Samples are uniformly distributed over the half-open interval [low, high) (includes low, but excludes high). In other words, any value within the given interval is equally likely to be drawn by uniform. Note New code should use the uniform method of a default_rng() instance ... | |
doc_11395 | Returns False if set_unusable_password() has been called for this user. | |
doc_11396 | Set default values for missing arguments. For variable-positional arguments (*args) the default is an empty tuple. For variable-keyword arguments (**kwargs) the default is an empty dict. >>> def foo(a, b='ham', *args): pass
>>> ba = inspect.signature(foo).bind('spam')
>>> ba.apply_defaults()
>>> ba.arguments
{'a': 'spa... | |
doc_11397 |
An object to simplify the interaction of the array with the ctypes module. This attribute creates an object that makes it easier to use arrays when calling shared libraries with the ctypes module. The returned object has, among others, data, shape, and strides attributes (see Notes below) which themselves return ctyp... | |
doc_11398 | A json.JSONEncoder subclass to serialize data types not supported by the standard JSON serializer (e.g. datetime.datetime or UUID). For example, you can use the DjangoJSONEncoder class. Defaults to json.JSONEncoder. | |
doc_11399 |
Returns a field of the given array as a certain type. A field is a view of the array data with a given data-type. The values in the view are determined by the given type and the offset into the current array in bytes. The offset needs to be such that the view dtype fits in the array dtype; for example an array of dty... |
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