_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_9400 | Adds a buffer to the module. This is typically used to register a buffer that should not to be considered a model parameter. For example, BatchNorm’s running_mean is not a parameter, but is part of the module’s state. Buffers, by default, are persistent and will be saved alongside parameters. This behavior can be chang... | |
doc_9401 | Divide data into n continuous intervals with equal probability. Returns a list of n - 1 cut points separating the intervals. Set n to 4 for quartiles (the default). Set n to 10 for deciles. Set n to 100 for percentiles which gives the 99 cuts points that separate data into 100 equal sized groups. Raises StatisticsError... | |
doc_9402 | Return the current time, as a float value, according to the event loop’s internal monotonic clock. | |
doc_9403 | Update the model with a single iteration over the given data. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The input data.
yndarray of shape (n_samples,)
The target values. Returns
selfreturns a trained MLP model. | |
doc_9404 | select.kqueue()-based selector.
fileno()
This returns the file descriptor used by the underlying select.kqueue() object. | |
doc_9405 | In-place version of i0() | |
doc_9406 | Sets the value of the spinbox to value. | |
doc_9407 | See Migration guide for more details. tf.compat.v1.string_join, tf.compat.v1.strings.join
tf.strings.join(
inputs, separator='', name=None
)
Given a list of string tensors of same shape, performs element-wise concatenation of the strings of the same index in all tensors.
tf.strings.join(['abc','def']).numpy()
b... | |
doc_9408 | Generator.device -> device Gets the current device of the generator. Example: >>> g_cpu = torch.Generator()
>>> g_cpu.device
device(type='cpu') | |
doc_9409 |
Return the roots of the series polynomial. Compute the roots for the series. Note that the accuracy of the roots decrease the further outside the domain they lie. Returns
rootsndarray
Array containing the roots of the series. | |
doc_9410 | See Migration guide for more details. tf.compat.v1.OpError, tf.compat.v1.errors.OpError
tf.errors.OpError(
node_def, op, message, error_code
)
Whenever possible, the session will raise a more specific subclass of OpError from the tf.errors module.
Args
node_def The node_def_pb2.NodeDef proto representin... | |
doc_9411 | True if the native OS type of the environment is bytes (eg. False on Windows). New in version 3.2. | |
doc_9412 |
Return filter function to be used for agg filter. | |
doc_9413 |
Set whether the artist uses clipping. When False artists will be visible outside of the axes which can lead to unexpected results. Parameters
bbool | |
doc_9414 | Return the current object. This is useful if you want the real object behind the proxy at a time for performance reasons or because you want to pass the object into a different context. Return type
Any | |
doc_9415 | An alternate constructor that bypasses the constructor’s cache. It is identical to the primary constructor, but returns a new object on each call. This is most likely to be useful for testing or demonstration purposes, but it can also be used to create a system with a different cache invalidation strategy. Objects crea... | |
doc_9416 | Uses get_all_permissions() to check if user_obj has the permission string perm. | |
doc_9417 |
Reverse the transformation operation Parameters
Xarray of shape [n_samples, n_selected_features]
The input samples. Returns
X_rarray of shape [n_samples, n_original_features]
X with columns of zeros inserted where features would have been removed by transform. | |
doc_9418 |
Applies the hardswish function, element-wise, as described in the paper: Searching for MobileNetV3. Hardswish(x)={0if x≤−3,xif x≥+3,x⋅(x+3)/6otherwise\text{Hardswish}(x) = \begin{cases} 0 & \text{if~} x \le -3, \\ x & \text{if~} x \ge +3, \\ x \cdot (x + 3) /6 & \text{otherwise} \end{cases}
Parameters
inplace – ... | |
doc_9419 |
Implements the resilient backpropagation algorithm. Parameters
params (iterable) – iterable of parameters to optimize or dicts defining parameter groups
lr (float, optional) – learning rate (default: 1e-2)
etas (Tuple[float, float], optional) – pair of (etaminus, etaplis), that are multiplicative increase and d... | |
doc_9420 |
alias of matplotlib.backends.backend_ps.FigureCanvasPS | |
doc_9421 | calculates the dot- or scalar-product with the other vector dot(Vector2) -> float | |
doc_9422 | tf.optimizers.Adamax Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.optimizers.Adamax
tf.keras.optimizers.Adamax(
learning_rate=0.001, beta_1=0.9, beta_2=0.999, epsilon=1e-07,
name='Adamax', **kwargs
)
It is a variant of Adam based on the infinity norm. Default paramete... | |
doc_9423 |
Test if two strings are equal. If the given strings are equal, assert_string_equal does nothing. If they are not equal, an AssertionError is raised, and the diff between the strings is shown. Parameters
actualstr
The string to test for equality against the expected string.
desiredstr
The expected string. ... | |
doc_9424 | Returns a random permutation of integers from 0 to n - 1. Parameters
n (int) – the upper bound (exclusive) Keyword Arguments
generator (torch.Generator, optional) – a pseudorandom number generator for sampling
out (Tensor, optional) – the output tensor.
dtype (torch.dtype, optional) – the desired data type of r... | |
doc_9425 | Create a pipe. Return a pair of file descriptors (r, w) usable for reading and writing, respectively. The new file descriptor is non-inheritable. Availability: Unix, Windows. Changed in version 3.4: The new file descriptors are now non-inheritable. | |
doc_9426 | Return a list of the weeks in the month month of the year as full weeks. Weeks are lists of seven day numbers. | |
doc_9427 | The maximum number of decimal places permitted. | |
doc_9428 | You can change this attribute to a callable that accepts the cursor and the original row as a tuple and will return the real result row. This way, you can implement more advanced ways of returning results, such as returning an object that can also access columns by name. Example: import sqlite3
def dict_factory(cursor... | |
doc_9429 |
Reset the axes stack. | |
doc_9430 | See Migration guide for more details. tf.compat.v1.raw_ops.SparseReshape
tf.raw_ops.SparseReshape(
input_indices, input_shape, new_shape, name=None
)
This operation has the same semantics as reshape on the represented dense tensor. The input_indices are recomputed based on the requested new_shape. If one compone... | |
doc_9431 | exception audioop.error
This exception is raised on all errors, such as unknown number of bytes per sample, etc.
audioop.add(fragment1, fragment2, width)
Return a fragment which is the addition of the two samples passed as parameters. width is the sample width in bytes, either 1, 2, 3 or 4. Both fragments shoul... | |
doc_9432 | Signal end of drag when the release pattern is triggered. | |
doc_9433 | Recursive directory creation function. Like mkdir(), but makes all intermediate-level directories needed to contain the leaf directory. The mode parameter is passed to mkdir() for creating the leaf directory; see the mkdir() description for how it is interpreted. To set the file permission bits of any newly-created par... | |
doc_9434 |
Upper triangle of an array. Return a copy of an array with the elements below the k-th diagonal zeroed. For arrays with ndim exceeding 2, triu will apply to the final two axes. Please refer to the documentation for tril for further details. See also tril
lower triangle of an array Examples >>> np.triu([[1,2,3],... | |
doc_9435 |
Load an image from file. Parameters
fnamestring
Image file name, e.g. test.jpg or URL.
as_graybool, optional
If True, convert color images to gray-scale (64-bit floats). Images that are already in gray-scale format are not converted.
pluginstr, optional
Name of plugin to use. By default, the different p... | |
doc_9436 | See Migration guide for more details. tf.compat.v1.linalg.lstsq, tf.compat.v1.matrix_solve_ls
tf.linalg.lstsq(
matrix, rhs, l2_regularizer=0.0, fast=True, name=None
)
matrix is a tensor of shape [..., M, N] whose inner-most 2 dimensions form M-by-N matrices. Rhs is a tensor of shape [..., M, K] whose inner-most ... | |
doc_9437 | True if the end-of-stream marker has been reached. New in version 3.3. | |
doc_9438 | A recursive lock object: a close analog of threading.RLock. A recursive lock must be released by the process or thread that acquired it. Once a process or thread has acquired a recursive lock, the same process or thread may acquire it again without blocking; that process or thread must release it once for each time it ... | |
doc_9439 |
Return a string, which includes extension, suitable for use as a default filename. | |
doc_9440 | Remove any unhandled source text from the input buffer. | |
doc_9441 | Return whether the call completed without raising an exception. Will raise ValueError if the result is not ready. Changed in version 3.7: If the result is not ready, ValueError is raised instead of AssertionError. | |
doc_9442 |
Duplicate each string in the Series or Index. Parameters
repeats:int or sequence of int
Same value for all (int) or different value per (sequence). Returns
Series or Index of object
Series or Index of repeated string objects specified by input parameter repeats. Examples
>>> s = pd.Series(['a', 'b', ... | |
doc_9443 |
Set and validate the parameters of estimator. Parameters
**kwargsdict
Estimator parameters. Returns
selfobject
Estimator instance. | |
doc_9444 | Skip the decorated test if condition is true. | |
doc_9445 | See Migration guide for more details. tf.compat.v1.raw_ops.Enter
tf.raw_ops.Enter(
data, frame_name, is_constant=False, parallel_iterations=10, name=None
)
This op is used together with Exit to create loops in the graph. The unique frame_name is used by the Executor to identify frames. If is_constant is true, ou... | |
doc_9446 | Suspend execution of the calling thread until the delivery of one of the signals specified in the signal set sigset. The function accepts the signal (removes it from the pending list of signals), and returns the signal number. Availability: Unix. See the man page sigwait(3) for further information. See also pause(), pt... | |
doc_9447 | The domain portion of the address. | |
doc_9448 | Convert the ETags object into a python set. Per default all the weak etags are not part of this set. | |
doc_9449 | Return a new view of the underlying mapping’s values. | |
doc_9450 |
Check whether the provided array or dtype is of the datetime64 dtype. Parameters
arr_or_dtype:array-like or dtype
The array or dtype to check. Returns
bool
Whether or not the array or dtype is of the datetime64 dtype. Examples
>>> is_datetime64_any_dtype(str)
False
>>> is_datetime64_any_dtype(int)
Fa... | |
doc_9451 |
Alias for get_edgecolor. | |
doc_9452 | See Migration guide for more details. tf.compat.v1.ragged.cross
tf.ragged.cross(
inputs, name=None
)
The input tensors must have rank=2, and must all have the same number of rows. The result is a RaggedTensor with the same number of rows as the inputs, where result[row] contains a list of all combinations of val... | |
doc_9453 | Dictionary mapping names accepted by confstr() to the integer values defined for those names by the host operating system. This can be used to determine the set of names known to the system. Availability: Unix. | |
doc_9454 | The mode as given in the constructor. | |
doc_9455 |
Transform multi-class labels to binary labels. The output of transform is sometimes referred to by some authors as the 1-of-K coding scheme. Parameters
y{array, sparse matrix} of shape (n_samples,) or (n_samples, n_classes)
Target values. The 2-d matrix should only contain 0 and 1, represents multilabel classif... | |
doc_9456 | count how many times this Sound is playing get_num_channels() -> count Return the number of active channels this sound is playing on. | |
doc_9457 | Return True if the argument is a finite number, and False if the argument is an infinity or a NaN. | |
doc_9458 | See Migration guide for more details. tf.compat.v1.keras.constraints.Constraint Methods get_config View source
get_config()
__call__ View source
__call__(
w
)
Call self as a function. | |
doc_9459 | Socket. | |
doc_9460 |
Bases: mpl_toolkits.axisartist.axislines.GridHelperBase aux_trans : a transform from the source (curved) coordinate to target (rectilinear) coordinate. An instance of MPL's Transform (inverse transform should be defined) or a tuple of two callable objects which defines the transform and its inverse. The callables nee... | |
doc_9461 | See Migration guide for more details. tf.compat.v1.raw_ops.ExperimentalThreadPoolDataset
tf.raw_ops.ExperimentalThreadPoolDataset(
input_dataset, thread_pool, output_types, output_shapes, name=None
)
Args
input_dataset A Tensor of type variant.
thread_pool A Tensor of type resource. A resource pro... | |
doc_9462 | find the smallest rect containing data get_bounding_rect(min_alpha = 1) -> Rect Returns the smallest rectangular region that contains all the pixels in the surface that have an alpha value greater than or equal to the minimum alpha value. This function will temporarily lock and unlock the Surface as needed. New in p... | |
doc_9463 |
Check for availability of Fortran 90 compiler. Use it inside source generating function to ensure that setup distribution instance has been initialized. Notes True if a Fortran 90 compiler is available (because a simple Fortran 90 code was able to be compiled successfully) | |
doc_9464 | sklearn.linear_model.PassiveAggressiveRegressor(*, C=1.0, fit_intercept=True, max_iter=1000, tol=0.001, early_stopping=False, validation_fraction=0.1, n_iter_no_change=5, shuffle=True, verbose=0, loss='epsilon_insensitive', epsilon=0.1, random_state=None, warm_start=False, average=False) [source]
Passive Aggressive R... | |
doc_9465 | See Migration guide for more details. tf.compat.v1.raw_ops.ReverseV2
tf.raw_ops.ReverseV2(
tensor, axis, name=None
)
NOTE tf.reverse has now changed behavior in preparation for 1.0. tf.reverse_v2 is currently an alias that will be deprecated before TF 1.0. Given a tensor, and a int32 tensor axis representing the... | |
doc_9466 | Similar to enter_context() but expects an asynchronous context manager. | |
doc_9467 | Computes input≥other\text{input} \geq \text{other} element-wise. The second argument can be a number or a tensor whose shape is broadcastable with the first argument. Parameters
input (Tensor) – the tensor to compare
other (Tensor or float) – the tensor or value to compare Keyword Arguments
out (Tensor, option... | |
doc_9468 | Base class for warning categories. | |
doc_9469 |
Draw samples from a log-normal distribution. Draw samples from a log-normal distribution with specified mean, standard deviation, and array shape. Note that the mean and standard deviation are not the values for the distribution itself, but of the underlying normal distribution it is derived from. Note New code shou... | |
doc_9470 |
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_9471 |
Alias for get_edgecolor. | |
doc_9472 | See Migration guide for more details. tf.compat.v1.linalg.logm
tf.linalg.logm(
input, name=None
)
\(log(exp(A)) = A\) This op is only defined for complex matrices. If A is positive-definite and real, then casting to a complex matrix, taking the logarithm and casting back to a real matrix will give the correct re... | |
doc_9473 | If cookie has the named cookie-attribute, return its value. Otherwise, return default. | |
doc_9474 |
Calculate the rolling quantile. Parameters
quantile:float
Quantile to compute. 0 <= quantile <= 1.
interpolation:{‘linear’, ‘lower’, ‘higher’, ‘midpoint’, ‘nearest’}
This optional parameter specifies the interpolation method to use, when the desired quantile lies between two data points i and j:
linear: ... | |
doc_9475 | This class is used to declare a new Context Variable, e.g.: var: ContextVar[int] = ContextVar('var', default=42)
The required name parameter is used for introspection and debug purposes. The optional keyword-only default parameter is returned by ContextVar.get() when no value for the variable is found in the current c... | |
doc_9476 | See Migration guide for more details. tf.compat.v1.io.matching_files, tf.compat.v1.matching_files
tf.io.matching_files(
pattern, name=None
)
Note that this routine only supports wildcard characters in the basename portion of the pattern, not in the directory portion. Note also that the order of filenames returne... | |
doc_9477 | Rather than being a function, list is actually a mutable sequence type, as documented in Lists and Sequence Types — list, tuple, range. | |
doc_9478 | class sklearn.svm.OneClassSVM(*, kernel='rbf', degree=3, gamma='scale', coef0=0.0, tol=0.001, nu=0.5, shrinking=True, cache_size=200, verbose=False, max_iter=- 1) [source]
Unsupervised Outlier Detection. Estimate the support of a high-dimensional distribution. The implementation is based on libsvm. Read more in the U... | |
doc_9479 | See Migration guide for more details. tf.compat.v1.data.experimental.from_variant
tf.data.experimental.from_variant(
variant, structure
)
Args
variant A scalar tf.variant tensor representing a dataset.
structure A tf.data.experimental.Structure object representing the structure of each element in ... | |
doc_9480 | A day archive page showing all objects in a given day. Days in the future throw a 404 error, regardless of whether any objects exist for future days, unless you set allow_future to True. Ancestors (MRO) django.views.generic.list.MultipleObjectTemplateResponseMixin django.views.generic.base.TemplateResponseMixin django... | |
doc_9481 | Called when the test case test succeeds. The default implementation does nothing. | |
doc_9482 | See Migration guide for more details. tf.compat.v1.keras.layers.Bidirectional
tf.keras.layers.Bidirectional(
layer, merge_mode='concat', weights=None, backward_layer=None,
**kwargs
)
Arguments
layer keras.layers.RNN instance, such as keras.layers.LSTM or keras.layers.GRU. It could also be a keras.la... | |
doc_9483 | get all track information get_all() -> [(audio, start, end, length), ...] Return a list with information for every track on the cdrom. The information consists of a tuple with four values. The audio value is True if the track contains audio data. The start, end, and length values are floating point numbers in seconds... | |
doc_9484 | Note: Functions taking Tensor arguments can also take anything accepted by tf.convert_to_tensor.
Note: Elementwise binary operations in TensorFlow follow numpy-style broadcasting.
TensorFlow provides a variety of math functions including: Basic arithmetic operators and trigonometric functions. Special math function... | |
doc_9485 | tf.experimental.numpy.geomspace(
start, stop, num=50, endpoint=True, dtype=None, axis=0
)
See the NumPy documentation for numpy.geomspace. | |
doc_9486 |
Mean shift clustering using a flat kernel. Mean shift clustering aims to discover “blobs” in a smooth density of samples. It is a centroid-based algorithm, which works by updating candidates for centroids to be the mean of the points within a given region. These candidates are then filtered in a post-processing stage... | |
doc_9487 |
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_9488 | Similar to parse(), but parses from a buffer string received as a parameter. string must be a str instance or a bytes-like object. Changed in version 3.5: Added support of str instances. | |
doc_9489 |
Return the underline thickness as float. | |
doc_9490 |
Return True if given object is float. Returns
bool | |
doc_9491 | The file should not be displayed in a GUI (Mac OS X 10.5+). | |
doc_9492 | Check for __torch_function__ implementations in the elements of an iterable. Considers exact Tensor s and Parameter s non-dispatchable. :param relevant_args: Iterable or aguments to check for __torch_function__ methods. :type relevant_args: iterable Returns
True if any of the elements of relevant_args have __torch_fu... | |
doc_9493 |
For each element in self, return a list of the words in the string, using sep as the delimiter string. See also char.rsplit | |
doc_9494 | Sets the current object instance (self.object) to None. | |
doc_9495 | See Migration guide for more details. tf.compat.v1.raw_ops.LoadTPUEmbeddingProximalYogiParameters
tf.raw_ops.LoadTPUEmbeddingProximalYogiParameters(
parameters, v, m, num_shards, shard_id, table_id=-1, table_name='',
config='', name=None
)
Args
parameters A Tensor of type float32.
v A Tensor o... | |
doc_9496 |
Attributes
base Returns a copy of the calling offset object with n=1 and all other attributes equal.
delta
freqstr
kwds
n
name
nanos
normalize
rule_code Methods
__call__(*args, **kwargs) Call self as a function.
rollback Roll provided date backward to next offset onl... | |
doc_9497 |
Return filter function to be used for agg filter. | |
doc_9498 | The element type name. In a namespace-using document it may have colons in it. The value is a string. | |
doc_9499 |
Fit OneHotEncoder to X. Parameters
Xarray-like, shape [n_samples, n_features]
The data to determine the categories of each feature.
yNone
Ignored. This parameter exists only for compatibility with Pipeline. Returns
self |
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