_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_3400 | The latest representable time, time(23, 59, 59, 999999). | |
doc_3401 | The default value is True. If Python is compiled --without-decimal-contextvar, the C version uses a thread-local rather than a coroutine-local context and the value is False. This is slightly faster in some nested context scenarios. | |
doc_3402 | See Migration guide for more details. tf.compat.v1.raw_ops.MergeV2Checkpoints
tf.raw_ops.MergeV2Checkpoints(
checkpoint_prefixes, destination_prefix, delete_old_dirs=True, name=None
)
result is one logical checkpoint, with one physical metadata file and renamed data files. Intended for "grouping" multiple checkp... | |
doc_3403 | Interrupt from keyboard (CTRL + BREAK). Availability: Windows. | |
doc_3404 |
Autoscale the scalar limits on the norm instance using the current array | |
doc_3405 | See Migration guide for more details. tf.compat.v1.random.truncated_normal, tf.compat.v1.truncated_normal
tf.random.truncated_normal(
shape, mean=0.0, stddev=1.0, dtype=tf.dtypes.float32, seed=None, name=None
)
The generated values follow a normal distribution with specified mean and standard deviation, except t... | |
doc_3406 |
Set and validate the parameters of estimator. Parameters
**kwargsdict
Estimator parameters. Returns
selfobject
Estimator instance. | |
doc_3407 |
Return filter function to be used for agg filter. | |
doc_3408 | See Migration guide for more details. tf.compat.v1.raw_ops.While
tf.raw_ops.While(
input, cond, body, output_shapes=[], parallel_iterations=10, name=None
)
Args
input A list of Tensor objects. A list of input tensors whose types are T.
cond A function decorated with @Defun. A function takes 'input... | |
doc_3409 | returns a linear interpolation to the given Color. lerp(Color, float) -> Color Returns a Color which is a linear interpolation between self and the given Color in RGBA space. The second parameter determines how far between self and other the result is going to be. It must be a value between 0 and 1 where 0 means self... | |
doc_3410 |
Build a CF Tree for the input data. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
Input data.
yIgnored
Not used, present here for API consistency by convention. Returns
self
Fitted estimator. | |
doc_3411 | SSL 3.0 to TLS 1.3. | |
doc_3412 | Token value for "=". | |
doc_3413 |
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
bbox_to_anchor unknown
child unknown
clip_box Bbox
clip_on bool
clip_pa... | |
doc_3414 |
Calculate the ewm (exponential weighted moment) mean. Parameters
*args
For NumPy compatibility and will not have an effect on the result.
engine:str, default None
'cython' : Runs the operation through C-extensions from cython. 'numba' : Runs the operation through JIT compiled code from numba.
None : Default... | |
doc_3415 | msvcrt.LK_NBRLCK
Locks the specified bytes. If the bytes cannot be locked, OSError is raised. | |
doc_3416 | See Migration guide for more details. tf.compat.v1.where_v2
tf.where(
condition, x=None, y=None, name=None
)
This operator has two modes: in one mode both x and y are provided, in another mode neither are provided. condition is always expected to be a tf.Tensor of type bool. Retrieving indices of True elements I... | |
doc_3417 | query the tree for neighbors within a radius r Parameters
Xarray-like of shape (n_samples, n_features)
An array of points to query
rdistance within which neighbors are returned
r can be a single value, or an array of values of shape x.shape[:-1] if different radii are desired for each point.
return_distance... | |
doc_3418 |
Set the norm limits for image scaling. Parameters
vmin, vmaxfloat
The limits. The limits may also be passed as a tuple (vmin, vmax) as a single positional argument. | |
doc_3419 | See Migration guide for more details. tf.compat.v1.keras.layers.Attention
tf.keras.layers.Attention(
use_scale=False, **kwargs
)
Inputs are query tensor of shape [batch_size, Tq, dim], value tensor of shape [batch_size, Tv, dim] and key tensor of shape [batch_size, Tv, dim]. The calculation follows the steps: C... | |
doc_3420 | ZIP flag bits. | |
doc_3421 |
Return a copy of the array. Parameters
order{‘C’, ‘F’, ‘A’, ‘K’}, optional
Controls the memory layout of the copy. ‘C’ means C-order, ‘F’ means F-order, ‘A’ means ‘F’ if a is Fortran contiguous, ‘C’ otherwise. ‘K’ means match the layout of a as closely as possible. (Note that this function and numpy.copy are ve... | |
doc_3422 |
Add a key to a quiver plot. The positioning of the key depends on X, Y, coordinates, and labelpos. If labelpos is 'N' or 'S', X, Y give the position of the middle of the key arrow. If labelpos is 'E', X, Y positions the head, and if labelpos is 'W', X, Y positions the tail; in either of these two cases, X, Y is somew... | |
doc_3423 |
Set a label that will be displayed in the legend. Parameters
sobject
s will be converted to a string by calling str. | |
doc_3424 |
Set the artist's visibility. Parameters
bbool | |
doc_3425 |
Linear Model trained with L1 prior as regularizer (aka the Lasso) The optimization objective for Lasso is: (1 / (2 * n_samples)) * ||y - Xw||^2_2 + alpha * ||w||_1
Technically the Lasso model is optimizing the same objective function as the Elastic Net with l1_ratio=1.0 (no L2 penalty). Read more in the User Guide. ... | |
doc_3426 |
Container for the BitGenerators. Generator exposes a number of methods for generating random numbers drawn from a variety of probability distributions. In addition to the distribution-specific arguments, each method takes a keyword argument size that defaults to None. If size is None, then a single value is generated... | |
doc_3427 |
Bases: matplotlib.backend_tools.ToolBase Toggleable tool. Every time it is triggered, it switches between enable and disable. Parameters
``*args``
Variable length argument to be used by the Tool. ``**kwargs``
toggled if present and True, sets the initial state of the Tool Arbitrary keyword arguments to be consu... | |
doc_3428 |
Apply the non-affine part of this transform to Path path, returning a new Path. transform_path(path) is equivalent to transform_path_affine(transform_path_non_affine(values)). | |
doc_3429 | This method is called after close has been called to reset the parser so that it is ready to parse new documents. The results of calling parse or feed after close without calling reset are undefined. | |
doc_3430 | os.WSTOPPED
os.WNOWAIT
Flags that can be used in options in waitid() that specify what child signal to wait for. Availability: Unix. New in version 3.3. | |
doc_3431 | A dictionary of context data that will be added to the default context data passed to the template. | |
doc_3432 | The sitemaps.FlatPageSitemap class looks at all publicly visible flatpages defined for the current SITE_ID (see the sites documentation) and creates an entry in the sitemap. These entries include only the location attribute – not lastmod, changefreq or priority. | |
doc_3433 |
Return the canvas width and height in display coords. | |
doc_3434 | Return a tuple (y, x) of co-ordinates of upper-left corner. | |
doc_3435 |
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_3436 | The email package calls this method with a list of strings, each string ending with the line separation characters found in the source being parsed. The first line includes the field header name and separator. All whitespace in the source is preserved. The method should return the (name, value) tuple that is to be stor... | |
doc_3437 |
Set the font weight. May be either a numeric value in the range 0-1000 or one of 'ultralight', 'light', 'normal', 'regular', 'book', 'medium', 'roman', 'semibold', 'demibold', 'demi', 'bold', 'heavy', 'extra bold', 'black' | |
doc_3438 | Return the current value of the flags that are used for dlopen() calls. Symbolic names for the flag values can be found in the os module (RTLD_xxx constants, e.g. os.RTLD_LAZY). Availability: Unix. | |
doc_3439 |
Compute pairwise correlation. Pairwise correlation is computed between rows or columns of DataFrame with rows or columns of Series or DataFrame. DataFrames are first aligned along both axes before computing the correlations. Parameters
other:DataFrame, Series
Object with which to compute correlations.
axis:{0... | |
doc_3440 | See Migration guide for more details. tf.compat.v1.estimator.ProfilerHook, tf.compat.v1.train.ProfilerHook
tf.estimator.ProfilerHook(
save_steps=None, save_secs=None, output_dir='', show_dataflow=True,
show_memory=False
)
This produces files called "timeline-.json", which are in Chrome Trace format. For more... | |
doc_3441 | tf.losses.categorical_hinge Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.categorical_hinge
tf.keras.losses.categorical_hinge(
y_true, y_pred
)
loss = maximum(neg - pos + 1, 0) where neg=maximum((1-y_true)*y_pred) and pos=sum(y_true*y_pred) Standalone usage:
y_true... | |
doc_3442 | Return a message object structure from a bytes-like object. This is equivalent to BytesParser().parsebytes(s). Optional _class and policy are interpreted as with the BytesParser class constructor. New in version 3.2. Changed in version 3.3: Removed the strict argument. Added the policy keyword. | |
doc_3443 | See Migration guide for more details. tf.compat.v1.raw_ops.WholeFileReader
tf.raw_ops.WholeFileReader(
container='', shared_name='', name=None
)
To use, enqueue filenames in a Queue. The output of ReaderRead will be a filename (key) and the contents of that file (value).
Args
container An optional strin... | |
doc_3444 |
Fast lookup of value from 1-dimensional ndarray. Only use this if you know what you’re doing. Returns
scalar or Series | |
doc_3445 |
Set the path effects. Parameters
path_effectsAbstractPathEffect | |
doc_3446 | Removes the tab specified by tab_id, unmaps and unmanages the associated window. | |
doc_3447 |
Return an array converted to a float type. Parameters
aarray_like
The input array.
dtypestr or dtype object, optional
Float type code to coerce input array a. If dtype is one of the ‘int’ dtypes, it is replaced with float64. Returns
outndarray
The input a as a float ndarray. Examples >>> np.asfa... | |
doc_3448 |
Return the cumulative product of the elements along the given axis. Refer to numpy.cumprod for full documentation. See also numpy.cumprod
equivalent function | |
doc_3449 | An ordered mapping of parameters’ names to the corresponding Parameter objects. Parameters appear in strict definition order, including keyword-only parameters. Changed in version 3.7: Python only explicitly guaranteed that it preserved the declaration order of keyword-only parameters as of version 3.7, although in pr... | |
doc_3450 |
Return the font size. | |
doc_3451 | See Migration guide for more details. tf.compat.v1.raw_ops.Conv3DBackpropInput
tf.raw_ops.Conv3DBackpropInput(
input, filter, out_backprop, strides, padding, dilations=[1, 1, 1, 1, 1],
name=None
)
Args
input A Tensor. Must be one of the following types: half, float32, float64. Shape [batch, depth, r... | |
doc_3452 |
Returns the rank of current process group Rank is a unique identifier assigned to each process within a distributed process group. They are always consecutive integers ranging from 0 to world_size. Parameters
group (ProcessGroup, optional) – The process group to work on. If None, the default process group will be u... | |
doc_3453 | The dict of keyword arguments to this Node. The interpretation of arguments depends on the node’s opcode. See the Node docstring for more information. Assignment to this property is allowed. All accounting of uses and users is updated automatically on assignment. | |
doc_3454 | Specify that the file descriptor fd be used for typeahead checking. If fd is -1, then no typeahead checking is done. The curses library does “line-breakout optimization” by looking for typeahead periodically while updating the screen. If input is found, and it is coming from a tty, the current update is postponed until... | |
doc_3455 | See Migration guide for more details. tf.compat.v1.raw_ops.TensorSummaryV2
tf.raw_ops.TensorSummaryV2(
tag, tensor, serialized_summary_metadata, name=None
)
Args
tag A Tensor of type string. A string attached to this summary. Used for organization in TensorBoard.
tensor A Tensor. A tensor to seria... | |
doc_3456 | Provides simple access to WWW-Authenticate headers.
property algorithm
A string indicating a pair of algorithms used to produce the digest and a checksum. If this is not present it is assumed to be “MD5”. If the algorithm is not understood, the challenge should be ignored (and a different one used, if there is more... | |
doc_3457 |
Set the sketch parameters. Parameters
scalefloat, optional
The amplitude of the wiggle perpendicular to the source line, in pixels. If scale is None, or not provided, no sketch filter will be provided.
lengthfloat, optional
The length of the wiggle along the line, in pixels (default 128.0)
randomnessfloat... | |
doc_3458 | Calls importlib.abc.PathEntryFinder.invalidate_caches() on all finders stored in sys.path_importer_cache that define the method. Otherwise entries in sys.path_importer_cache set to None are deleted. Changed in version 3.7: Entries of None in sys.path_importer_cache are deleted. | |
doc_3459 | Convert samples in the audio fragment to a-LAW encoding and return this as a bytes object. a-LAW is an audio encoding format whereby you get a dynamic range of about 13 bits using only 8 bit samples. It is used by the Sun audio hardware, among others. | |
doc_3460 | tf.compat.v1.nn.relu_layer(
x, weights, biases, name=None
)
Args
x a 2D tensor. Dimensions typically: batch, in_units
weights a 2D tensor. Dimensions typically: in_units, out_units
biases a 1D tensor. Dimensions: out_units
name A name for the operation (optional). If not specified "nn_re... | |
doc_3461 | sklearn.model_selection.learning_curve(estimator, X, y, *, groups=None, train_sizes=array([0.1, 0.33, 0.55, 0.78, 1.0]), cv=None, scoring=None, exploit_incremental_learning=False, n_jobs=None, pre_dispatch='all', verbose=0, shuffle=False, random_state=None, error_score=nan, return_times=False, fit_params=None) [source]... | |
doc_3462 | See Migration guide for more details. tf.compat.v1.raw_ops.SparseSparseMinimum
tf.raw_ops.SparseSparseMinimum(
a_indices, a_values, a_shape, b_indices, b_values, b_shape, name=None
)
Assumes the two SparseTensors have the same shape, i.e., no broadcasting.
Args
a_indices A Tensor of type int64. 2-D. N x... | |
doc_3463 | Return the value of the Boolean capability corresponding to the terminfo capability name capname as an integer. Return the value -1 if capname is not a Boolean capability, or 0 if it is canceled or absent from the terminal description. | |
doc_3464 | Prevent client side from requesting a session ticket. New in version 3.6. | |
doc_3465 | See Migration guide for more details. tf.compat.v1.feature_column.bucketized_column
tf.feature_column.bucketized_column(
source_column, boundaries
)
Buckets include the left boundary, and exclude the right boundary. Namely, boundaries=[0., 1., 2.] generates buckets (-inf, 0.), [0., 1.), [1., 2.), and [2., +inf).... | |
doc_3466 | Read window related data stored in the file by an earlier putwin() call. The routine then creates and initializes a new window using that data, returning the new window object. | |
doc_3467 |
The number of output dimensions of this transform. Must be overridden (with integers) in the subclass. | |
doc_3468 |
Set the artist transform. Parameters
tTransform | |
doc_3469 |
Build a layout of Axes based on ASCII art or nested lists. This is a helper function to build complex GridSpec layouts visually. Note This API is provisional and may be revised in the future based on early user feedback. Parameters
mosaiclist of list of {hashable or nested} or str
A visual layout of how you w... | |
doc_3470 | Write the results of the current profile to filename. | |
doc_3471 |
Return whether the Artist has an explicitly set transform. This is True after set_transform has been called. | |
doc_3472 |
Transform X using the inverse function. Parameters
Xarray-like, shape (n_samples, n_features)
Input array. Returns
X_outarray-like, shape (n_samples, n_features)
Transformed input. | |
doc_3473 |
Remove key from the ModuleDict and return its module. Parameters
key (string) – key to pop from the ModuleDict | |
doc_3474 | New in Django 3.2. Optional. A boolean attribute. When True the alternate links generated by alternates will contain a hreflang="x-default" fallback entry with a value of LANGUAGE_CODE. The default is False. | |
doc_3475 | os.O_WRONLY
os.O_RDWR
os.O_APPEND
os.O_CREAT
os.O_EXCL
os.O_TRUNC
The above constants are available on Unix and Windows. | |
doc_3476 |
Fit model to data. Parameters
Xarray-like of shape (n_samples, n_features)
Training vectors, where n_samples is the number of samples and n_features is the number of predictors.
Yarray-like of shape (n_samples,) or (n_samples, n_targets)
Target vectors, where n_samples is the number of samples and n_targets... | |
doc_3477 | URL name: password_change_done The page shown after a user has changed their password. Attributes:
template_name
The full name of a template to use. Defaults to registration/password_change_done.html if not supplied.
extra_context
A dictionary of context data that will be added to the default context data pas... | |
doc_3478 | Adds the specified handler hdlr to this logger. | |
doc_3479 | Validates whether the password meets a minimum length. The minimum length can be customized with the min_length parameter. | |
doc_3480 | Retrieve whole message number which, and set its seen flag. Result is in form (response, ['line', ...], octets). | |
doc_3481 |
Compute data covariance with the generative model. cov = components_.T * S**2 * components_ + sigma2 * eye(n_features) where S**2 contains the explained variances, and sigma2 contains the noise variances. Returns
covarray, shape=(n_features, n_features)
Estimated covariance of data. | |
doc_3482 |
Return the Transform instance used by this artist. | |
doc_3483 |
Bases: TypeError | |
doc_3484 | A list of callables that take a path argument to try to create a finder for the path. If a finder can be created, it is to be returned by the callable, else raise ImportError. Originally specified in PEP 302. | |
doc_3485 |
Return an ndarray of indices that sort the array along the specified axis. Masked values are filled beforehand to fill_value. Parameters
axisint, optional
Axis along which to sort. If None, the default, the flattened array is used. Changed in version 1.13.0: Previously, the default was documented to be -1, but... | |
doc_3486 |
Return the corresponding inverse transformation. It holds x == self.inverted().transform(self.transform(x)). The return value of this method should be treated as temporary. An update to self does not cause a corresponding update to its inverted copy. | |
doc_3487 |
Generate a swiss roll dataset. Read more in the User Guide. Parameters
n_samplesint, default=100
The number of sample points on the S curve.
noisefloat, default=0.0
The standard deviation of the gaussian noise.
random_stateint, RandomState instance or None, default=None
Determines random number generati... | |
doc_3488 |
Set the text string s. It may contain newlines (\n) or math in LaTeX syntax. Parameters
sobject
Any object gets converted to its str representation, except for None which is converted to an empty string. | |
doc_3489 | Sent with a preflight request to indicate which method will be used for the cross origin request. Set access_control_allow_methods on the response to indicate which methods are allowed. | |
doc_3490 |
Extended-precision floating-point number type, compatible with C long double but not necessarily with IEEE 754 quadruple-precision. Character code
'g' Alias
numpy.longfloat Alias on this platform (Linux x86_64)
numpy.float128: 128-bit extended-precision floating-point number type. | |
doc_3491 | Return the number of occurrences of b in a. | |
doc_3492 |
Copy properties from other to self. | |
doc_3493 | Alternative error attach function to the errorhandler() decorator that is more straightforward to use for non decorator usage. Changelog New in version 0.7. Parameters
code_or_exception (Union[Type[Exception], int]) –
f (Callable[[Exception], Union[Response, AnyStr, Dict[str, Any], Generator[AnyStr, None, None]... | |
doc_3494 |
Return True if ‘CCompiler.compile()’ able to compile a source file with certain flags. | |
doc_3495 |
Evaluate a 3-D Legendre series on the Cartesian product of x, y, and z. This function returns the values: \[p(a,b,c) = \sum_{i,j,k} c_{i,j,k} * L_i(a) * L_j(b) * L_k(c)\] where the points (a, b, c) consist of all triples formed by taking a from x, b from y, and c from z. The resulting points form a grid with x in th... | |
doc_3496 |
Sampler that restricts data loading to a subset of the dataset. It is especially useful in conjunction with torch.nn.parallel.DistributedDataParallel. In such a case, each process can pass a DistributedSampler instance as a DataLoader sampler, and load a subset of the original dataset that is exclusive to it. Note D... | |
doc_3497 |
Set whether the Axes rectangle patch is drawn. Parameters
bbool | |
doc_3498 |
Set the alpha value used for blending - not supported on all backends. Parameters
alphaarray-like or scalar or None
All values must be within the 0-1 range, inclusive. Masked values and nans are not supported. | |
doc_3499 | Return a Signature object for the given callable: >>> from inspect import signature
>>> def foo(a, *, b:int, **kwargs):
... pass
>>> sig = signature(foo)
>>> str(sig)
'(a, *, b:int, **kwargs)'
>>> str(sig.parameters['b'])
'b:int'
>>> sig.parameters['b'].annotation
<class 'int'>
Accepts a wide range of Python c... |
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