_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
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doc_20600 | See Migration guide for more details. tf.compat.v1.raw_ops.SplitV
tf.raw_ops.SplitV(
value, size_splits, axis, num_split, name=None
)
Args
value A Tensor. The tensor to split.
size_splits A Tensor. Must be one of the following types: int32, int64. list containing the sizes of each output tensor al... | |
doc_20601 | socket.SIO_KEEPALIVE_VALS
socket.SIO_LOOPBACK_FAST_PATH
RCVALL_*
Constants for Windows’ WSAIoctl(). The constants are used as arguments to the ioctl() method of socket objects. Changed in version 3.6: SIO_LOOPBACK_FAST_PATH was added. | |
doc_20602 |
Compute the negative Mahalanobis distances. Parameters
Xarray-like of shape (n_samples, n_features)
The data matrix. Returns
negative_mahal_distancesarray-like of shape (n_samples,)
Opposite of the Mahalanobis distances. | |
doc_20603 | See Migration guide for more details. tf.compat.v1.raw_ops.Real
tf.raw_ops.Real(
input, Tout=tf.dtypes.float32, name=None
)
Given a tensor input of complex numbers, this operation returns a tensor of type float that is the real part of each element in input. All elements in input must be complex numbers of the f... | |
doc_20604 |
Approximate a polygonal chain with the specified tolerance. It is based on the Douglas-Peucker algorithm. Note that the approximated polygon is always within the convex hull of the original polygon. Parameters
coords(N, 2) array
Coordinate array.
tolerancefloat
Maximum distance from original points of polyg... | |
doc_20605 | tf.compat.v1.train.replica_device_setter(
ps_tasks=0, ps_device='/job:ps',
worker_device='/job:worker', merge_devices=True, cluster=None,
ps_ops=None, ps_strategy=None
)
Device Functions are used in with tf.device(device_function): statement to automatically assign devices to Operation objects as they are ... | |
doc_20606 |
Autoscale the scalar limits on the norm instance using the current array, changing only limits that are None | |
doc_20607 | Compares the values numerically with their sign ignored. | |
doc_20608 |
Returns a list with types grouped input->output. Data attribute listing the data-type “Domain-Range” groupings the ufunc can deliver. The data-types are given using the character codes. See also numpy.ufunc.ntypes
Examples >>> np.add.types
['??->?', 'bb->b', 'BB->B', 'hh->h', 'HH->H', 'ii->i', 'II->I', 'll->l',
'... | |
doc_20609 |
Return reshaped DataFrame organized by given index / column values. Reshape data (produce a “pivot” table) based on column values. Uses unique values from specified index / columns to form axes of the resulting DataFrame. This function does not support data aggregation, multiple values will result in a MultiIndex in ... | |
doc_20610 |
Compute the L1 distances between the vectors in X and Y. With sum_over_features equal to False it returns the componentwise distances. Read more in the User Guide. Parameters
Xarray-like of shape (n_samples_X, n_features)
Yarray-like of shape (n_samples_Y, n_features), default=None
sum_over_featuresbool, defa... | |
doc_20611 | get the volume of the playing channel get_volume() -> value Return the volume of the channel for the current playing sound. This does not take into account stereo separation used by Channel.set_volume(). The Sound object also has its own volume which is mixed with the channel. | |
doc_20612 |
Return whether drawing is available to o. | |
doc_20613 | See Migration guide for more details. tf.compat.v1.raw_ops.ResourceApplyPowerSign
tf.raw_ops.ResourceApplyPowerSign(
var, m, lr, logbase, sign_decay, beta, grad, use_locking=False, name=None
)
mt <- beta1 * m{t-1} + (1 - beta1) * g update <- exp(logbase * sign_decay * sign(g) * sign(m_t)) * g variable <- variabl... | |
doc_20614 | tf.pad(
tensor, paddings, mode='CONSTANT', constant_values=0, name=None
)
This operation pads a tensor according to the paddings you specify. paddings is an integer tensor with shape [n, 2], where n is the rank of tensor. For each dimension D of input, paddings[D, 0] indicates how many values to add before the con... | |
doc_20615 | A dictionary containing key-value pairs of an associated pax extended header. | |
doc_20616 |
bfloat16()
Casts this storage to bfloat16 type
bool()
Casts this storage to bool type
byte()
Casts this storage to byte type
char()
Casts this storage to char type
clone()
Returns a copy of this storage
complex_double()
Casts this storage to complex double type
complex_float()
... | |
doc_20617 | Concrete implementation of Loader.exec_module(). New in version 3.4. | |
doc_20618 | Constructor arguments should be passed as keyword arguments only. blocked_domains is a sequence of domain names that we never accept cookies from, nor return cookies to. allowed_domains if not None, this is a sequence of the only domains for which we accept and return cookies. secure_protocols is a sequence of protocol... | |
doc_20619 | Handle authentication with the remote host. password_mgr, if given, should be something that is compatible with HTTPPasswordMgr; refer to section HTTPPasswordMgr Objects for information on the interface that must be supported. When both Digest Authentication Handler and Basic Authentication Handler are both added, Dige... | |
doc_20620 | See Migration guide for more details. tf.compat.v1.nn.normalize_moments
tf.nn.normalize_moments(
counts, mean_ss, variance_ss, shift, name=None
)
Args
counts A Tensor containing the total count of the data (one value).
mean_ss A Tensor containing the mean sufficient statistics: the (possibly shift... | |
doc_20621 | Set the flag(s) specified by flag without changing other flags. To add more than one flag at a time, flag may be a string of more than one character. The current “info” is overwritten whether or not it contains experimental information rather than flags. | |
doc_20622 |
Set SpanSelector to operate on a new Axes. | |
doc_20623 | Returns the standard deviation of the distribution. | |
doc_20624 |
Set the normalization instance. Parameters
normNormalize or None
Notes If there are any colorbars using the mappable for this norm, setting the norm of the mappable will reset the norm, locator, and formatters on the colorbar to default. | |
doc_20625 | ossaudiodev.open(device, mode)
Open an audio device and return an OSS audio device object. This object supports many file-like methods, such as read(), write(), and fileno() (although there are subtle differences between conventional Unix read/write semantics and those of OSS audio devices). It also supports a number... | |
doc_20626 |
Test whether the artist contains the mouse event. Parameters
mouseeventmatplotlib.backend_bases.MouseEvent
Returns
containsbool
Whether any values are within the radius.
detailsdict
An artist-specific dictionary of details of the event context, such as which points are contained in the pick radius. Se... | |
doc_20627 | A container class to hold and manage multiple Sprite objects. Group(*sprites) -> Group A simple container for Sprite objects. This class can be inherited to create containers with more specific behaviors. The constructor takes any number of Sprite arguments to add to the Group. The group supports the following standa... | |
doc_20628 | A real str object used to store the contents of the UserString class. | |
doc_20629 |
Return True if there are any NaNs. Enables various performance speedups. | |
doc_20630 |
Synonym for DataFrame.fillna() with method='bfill'. Returns
Series/DataFrame or None
Object with missing values filled or None if inplace=True. | |
doc_20631 | A boolean indicating if this raster is stored in GDAL’s virtual filesystem. | |
doc_20632 | """
May be applied as a `default=...` value on a serializer field.
Returns the current user.
"""
requires_context = True
def __call__(self, serializer_field):
return serializer_field.context['request'].user
When serializing the instance, default will be used if the object attribute or ... | |
doc_20633 | Deep Residual Learning for Image Recognition (CVPR 2015) Functions ResNet101(...): Instantiates the ResNet101 architecture. ResNet152(...): Instantiates the ResNet152 architecture. ResNet50(...): Instantiates the ResNet50 architecture. decode_predictions(...): Decodes the prediction of an ImageNet model. preprocess_in... | |
doc_20634 | Just like a MultipleChoiceField, except TypedMultipleChoiceField takes two extra arguments, coerce and empty_value. Default widget: SelectMultiple
Empty value: Whatever you’ve given as empty_value
Normalizes to: A list of values of the type provided by the coerce argument. Validates that the given values exists in t... | |
doc_20635 | Identical to the subn() function, using the compiled pattern. | |
doc_20636 | Computes the Cholesky decomposition of a symmetric positive-definite matrix AA or for batches of symmetric positive-definite matrices. If upper is True, the returned matrix U is upper-triangular, and the decomposition has the form: A=UTUA = U^TU
If upper is False, the returned matrix L is lower-triangular, and the d... | |
doc_20637 |
Returns the numpy.distutils config command instance. | |
doc_20638 | Wraps a file. This uses the WSGI server’s file wrapper if available or otherwise the generic FileWrapper. Changelog New in version 0.5. If the file wrapper from the WSGI server is used it’s important to not iterate over it from inside the application but to pass it through unchanged. If you want to pass out a file wr... | |
doc_20639 |
Fit to data, then transform it. Fits transformer to X and y with optional parameters fit_params and returns a transformed version of X. Parameters
Xarray-like of shape (n_samples, n_features)
Input samples.
yarray-like of shape (n_samples,) or (n_samples, n_outputs), default=None
Target values (None for uns... | |
doc_20640 | Logs a message with level INFO on the root logger. The arguments are interpreted as for debug(). | |
doc_20641 | Casts this storage to long type | |
doc_20642 |
When the line is picked, update the set of selected indices. | |
doc_20643 | See Migration guide for more details. tf.compat.v1.raw_ops.DecodeAndCropJpeg
tf.raw_ops.DecodeAndCropJpeg(
contents, crop_window, channels=0, ratio=1, fancy_upscaling=True,
try_recover_truncated=False, acceptable_fraction=1, dct_method='',
name=None
)
The attr channels indicates the desired number of col... | |
doc_20644 | Encodes the facility and priority into an integer. You can pass in strings or integers - if strings are passed, internal mapping dictionaries are used to convert them to integers. The symbolic LOG_ values are defined in SysLogHandler and mirror the values defined in the sys/syslog.h header file. Priorities
Name (str... | |
doc_20645 |
Return the clip path with the non-affine part of its transformation applied, and the remaining affine part of its transformation. | |
doc_20646 | call() is a helper object for making simpler assertions, for comparing with call_args, call_args_list, mock_calls and method_calls. call() can also be used with assert_has_calls(). >>> m = MagicMock(return_value=None)
>>> m(1, 2, a='foo', b='bar')
>>> m()
>>> m.call_args_list == [call(1, 2, a='foo', b='bar'), call()]
T... | |
doc_20647 |
pygame module to work with the keyboard This module contains functions for dealing with the keyboard. The pygame.event queue gets pygame.KEYDOWN and pygame.KEYUP events when the keyboard buttons are pressed and released. Both events have key and mod attributes.
key: an integer ID representing every key on the ... | |
doc_20648 | Returns a normalized locale code for the given locale name. The returned locale code is formatted for use with setlocale(). If normalization fails, the original name is returned unchanged. If the given encoding is not known, the function defaults to the default encoding for the locale code just like setlocale(). | |
doc_20649 | Computes and returns a return code based on a test suite, and the result from that test suite. | |
doc_20650 | See Migration guide for more details. tf.compat.v1.raw_ops.GenerateBoundingBoxProposals
tf.raw_ops.GenerateBoundingBoxProposals(
scores, bbox_deltas, image_info, anchors, nms_threshold, pre_nms_topn, min_size,
post_nms_topn=300, name=None
)
The op selects top `pre_nms_topn` scoring boxes, decodes them with r... | |
doc_20651 | Expression(
body=NamedExpr(
target=Name(id='x', ctx=Store()),
value=Constant(value=4))) | |
doc_20652 |
Divide self by other in-place. | |
doc_20653 | See Migration guide for more details. tf.compat.v1.raw_ops.IteratorGetDevice
tf.raw_ops.IteratorGetDevice(
resource, name=None
)
Args
resource A Tensor of type resource.
name A name for the operation (optional).
Returns A Tensor of type string. | |
doc_20654 |
Returns NVCC gencode flags this library were compiled with. | |
doc_20655 | Font anti-aliasing mode antialiased -> bool Gets or sets the font's anti-aliasing mode. This defaults to True on all fonts, which are rendered with full 8 bit blending. Set to False to do monochrome rendering. This should provide a small speed gain and reduce cache memory size. | |
doc_20656 |
Set array flags WRITEABLE, ALIGNED, (WRITEBACKIFCOPY and UPDATEIFCOPY), respectively. These Boolean-valued flags affect how numpy interprets the memory area used by a (see Notes below). The ALIGNED flag can only be set to True if the data is actually aligned according to the type. The WRITEBACKIFCOPY and (deprecated)... | |
doc_20657 | See Migration guide for more details. tf.compat.v1.image.random_flip_up_down
tf.image.random_flip_up_down(
image, seed=None
)
With a 1 in 2 chance, outputs the contents of image flipped along the first dimension, which is height. Otherwise, output the image as-is. When passing a batch of images, each image will ... | |
doc_20658 | import matplotlib.dates as dates
import matplotlib.ticker as ticker
import datetime
class DateConverter(units.ConversionInterface):
@staticmethod
def convert(value, unit, axis):
"Convert a datetime value to a scalar or array."
return dates.date2num(value)
@staticmethod
def axisinfo(un... | |
doc_20659 |
Total bytes consumed by the elements of the array. Notes Does not include memory consumed by non-element attributes of the array object. Examples >>> x = np.zeros((3,5,2), dtype=np.complex128)
>>> x.nbytes
480
>>> np.prod(x.shape) * x.itemsize
480 | |
doc_20660 |
Set the sizes of each member of the collection. Parameters
sizesndarray or None
The size to set for each element of the collection. The value is the 'area' of the element.
dpifloat, default: 72
The dpi of the canvas. | |
doc_20661 |
The hour of the period. | |
doc_20662 | Stores data in the value field of an open registry key. key is an already open key, or one of the predefined HKEY_* constants. value_name is a string that names the subkey with which the value is associated. reserved can be anything – zero is always passed to the API. type is an integer that specifies the type of the d... | |
doc_20663 | See Migration guide for more details. tf.compat.v1.nn.depthwise_conv2d_backprop_input, tf.compat.v1.nn.depthwise_conv2d_native_backprop_input
tf.nn.depthwise_conv2d_backprop_input(
input_sizes, filter, out_backprop, strides, padding,
data_format='NHWC', dilations=[1, 1, 1, 1], name=None
)
Args
input_s... | |
doc_20664 | The LabelEntry widget packages an entry widget and a label into one mega widget. It can be used to simplify the creation of “entry-form” type of interface. | |
doc_20665 | See torch.logical_and() | |
doc_20666 | Returns the input stream from the WSGI environment and wraps it in the most sensible way possible. The stream returned is not the raw WSGI stream in most cases but one that is safe to read from without taking into account the content length. If content length is not set, the stream will be empty for safety reasons. If ... | |
doc_20667 | Path to a custom template that will be used by the admin site app index view. | |
doc_20668 | display animated objects on the screen moveit.main() -> None This is the full and final example from the Pygame Tutorial, "How Do I Make It Move". It creates 10 objects and animates them on the screen. Note it's a bit scant on error checking, but it's easy to read. :] Fortunately, this is python, and we needn't wrest... | |
doc_20669 | tf.compat.v1.metrics.recall_at_top_k(
labels, predictions_idx, k=None, class_id=None, weights=None,
metrics_collections=None, updates_collections=None, name=None
)
Differs from recall_at_k in that predictions must be in the form of top k class indices, whereas recall_at_k expects logits. Refer to recall_at_k f... | |
doc_20670 |
Form the intersection of two Index objects. This returns a new Index with elements common to the index and other. Parameters
other:Index or array-like
sort:False or None, default False
Whether to sort the resulting index. False : do not sort the result. None : sort the result, except when self and other are ... | |
doc_20671 | See Migration guide for more details. tf.compat.v1.raw_ops.RFFT3D
tf.raw_ops.RFFT3D(
input, fft_length, Tcomplex=tf.dtypes.complex64, name=None
)
Computes the 3-dimensional discrete Fourier transform of a real-valued signal over the inner-most 3 dimensions of input. Since the DFT of a real signal is Hermitian-sy... | |
doc_20672 |
Return a view on the array. Parameters
dtype:str, np.dtype, or ExtensionDtype, optional
Default None. Returns
ExtensionArray or np.ndarray
A view on the ExtensionArray’s data. | |
doc_20673 | See Migration guide for more details. tf.compat.v1.raw_ops.ApplyAdagradV2
tf.raw_ops.ApplyAdagradV2(
var, accum, lr, epsilon, grad, use_locking=False, update_slots=True, name=None
)
accum += grad * grad var -= lr * grad * (1 / sqrt(accum))
Args
var A mutable Tensor. Must be one of the following types: f... | |
doc_20674 | If item is specified, returns 1 or 0 depending on whether the specified item has the given tagname. Otherwise, returns a list of all items that have the specified tag. Availability: Tk 8.6 | |
doc_20675 | class ast.Store
class ast.Del
Variable references can be used to load the value of a variable, to assign a new value to it, or to delete it. Variable references are given a context to distinguish these cases. >>> print(ast.dump(ast.parse('a'), indent=4))
Module(
body=[
Expr(
value=Name(id='a... | |
doc_20676 | An optional sequence that lists the names of unnamed (anonymous) fields. _anonymous_ must be already defined when _fields_ is assigned, otherwise it will have no effect. The fields listed in this variable must be structure or union type fields. ctypes will create descriptors in the structure type that allows accessing ... | |
doc_20677 | See torch.roll() | |
doc_20678 | class sklearn.model_selection.LeaveOneOut [source]
Leave-One-Out cross-validator Provides train/test indices to split data in train/test sets. Each sample is used once as a test set (singleton) while the remaining samples form the training set. Note: LeaveOneOut() is equivalent to KFold(n_splits=n) and LeavePOut(p=1)... | |
doc_20679 |
Apply the 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_20680 |
Select initial periods of time series data based on a date offset. When having a DataFrame with dates as index, this function can select the first few rows based on a date offset. Parameters
offset:str, DateOffset or dateutil.relativedelta
The offset length of the data that will be selected. For instance, ‘1M’ ... | |
doc_20681 |
Return the mean accuracy on the given test data and labels. In multi-label classification, this is the subset accuracy which is a harsh metric since you require for each sample that each label set be correctly predicted. Parameters
Xarray-like of shape (n_samples, n_features)
Test samples.
yarray-like of shap... | |
doc_20682 |
Return a string representation of data. Note This method is intended to be overridden by artist subclasses. As an end-user of Matplotlib you will most likely not call this method yourself. The default implementation converts ints and floats and arrays of ints and floats into a comma-separated string enclosed in squ... | |
doc_20683 | Returns a set of permission strings that the user has, through their groups. If obj is passed in, only returns the group permissions for this specific object. | |
doc_20684 | tf.compat.v1.tpu.outside_compilation(
computation, *args, **kwargs
)
tf.tpu.outside_compilation() is used to run ops in computation on CPU instead of running on TPU. For example, users can run ops that are not supported on TPU's (e.g. tf.summary.write()) by explicitly placing those ops on CPU's. Below usage of out... | |
doc_20685 |
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_20686 | Timeout in seconds to mark a test as failed if the test takes “too long”. The timeout value depends on the regrtest --timeout command line option. If a test using SHORT_TIMEOUT starts to fail randomly on slow buildbots, use LONG_TIMEOUT instead. Its default value is 30 seconds. | |
doc_20687 |
Convert a collection of raw documents to a matrix of TF-IDF features. Equivalent to CountVectorizer followed by TfidfTransformer. Read more in the User Guide. Parameters
input{‘filename’, ‘file’, ‘content’}, default=’content’
If ‘filename’, the sequence passed as an argument to fit is expected to be a list of f... | |
doc_20688 | See Migration guide for more details. tf.compat.v1.keras.datasets.mnist.load_data
tf.keras.datasets.mnist.load_data(
path='mnist.npz'
)
This is a dataset of 60,000 28x28 grayscale images of the 10 digits, along with a test set of 10,000 images. More info can be found at the MNIST homepage.
Arguments
path ... | |
doc_20689 | Returns a tensor of the same size as input with each element sampled from a Poisson distribution with rate parameter given by the corresponding element in input i.e., outi∼Poisson(inputi)\text{out}_i \sim \text{Poisson}(\text{input}_i)
Parameters
input (Tensor) – the input tensor containing the rates of the Poisso... | |
doc_20690 |
Set the zorder for the artist. Artists with lower zorder values are drawn first. Parameters
levelfloat | |
doc_20691 | See Migration guide for more details. tf.compat.v1.train.load_variable
tf.train.load_variable(
ckpt_dir_or_file, name
)
Args
ckpt_dir_or_file Directory with checkpoints file or path to checkpoint.
name Name of the variable to return.
Returns A numpy ndarray with a copy of the value of th... | |
doc_20692 | The name of the database table to use for the model: db_table = 'music_album' | |
doc_20693 |
Convert obj using unit for the specified axis. If obj is a sequence, return the converted sequence. The output must be a sequence of scalars that can be used by the numpy array layer. | |
doc_20694 | Create a new request handler instance. This request handler supports XML-RPC POST requests, documentation GET requests, and modifies logging so that the logRequests parameter to the DocXMLRPCServer constructor parameter is honored. | |
doc_20695 | See Migration guide for more details. tf.compat.v1.random.stateless_gamma
tf.random.stateless_gamma(
shape, seed, alpha, beta=None, dtype=tf.dtypes.float32, name=None
)
The generated values follow a gamma distribution with specified concentration (alpha) and inverse scale (beta) parameters. This is a stateless v... | |
doc_20696 | Return list of group ids that user belongs to. If group is not in the list, it is included; typically, group is specified as the group ID field from the password record for user. Availability: Unix. New in version 3.3. | |
doc_20697 | operator.__matmul__(a, b)
Return a @ b. New in version 3.5. | |
doc_20698 | See torch.xlogy() | |
doc_20699 |
Return the Transform instance mapping patch coordinates to data coordinates. For example, one may define a patch of a circle which represents a radius of 5 by providing coordinates for a unit circle, and a transform which scales the coordinates (the patch coordinate) by 5. |
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