_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_22900 |
Return a sorted copy of the masked array. Equivalent to creating a copy of the array and applying the MaskedArray sort() method. Refer to MaskedArray.sort for the full documentation See also MaskedArray.sort
equivalent method | |
doc_22901 |
Get parameters of this kernel. 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_22902 | The URL to redirect to when the form is successfully processed. | |
doc_22903 |
Alias for get_linewidth. | |
doc_22904 | See Migration guide for more details. tf.compat.v1.custom_gradient
tf.custom_gradient(
f=None
)
This decorator allows fine grained control over the gradients of a sequence for operations. This may be useful for multiple reasons, including providing a more efficient or numerically stable gradient for a sequence o... | |
doc_22905 |
Set whether this Axis is oriented in the "inverse" direction. The "normal" direction is increasing to the right for the x-axis and to the top for the y-axis; the "inverse" direction is increasing to the left for the x-axis and to the bottom for the y-axis. | |
doc_22906 |
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_22907 |
Attributes
content bytes content
plugin_name string plugin_name | |
doc_22908 | Returns the current pack buffer as a string. | |
doc_22909 | operator.__concat__(a, b)
Return a + b for a and b sequences. | |
doc_22910 | If file is a string, open the file by that name, otherwise treat it as a file-like object. mode can be:
'rb'
Read only mode.
'wb'
Write only mode. Note that it does not allow read/write WAV files. A mode of 'rb' returns a Wave_read object, while a mode of 'wb' returns a Wave_write object. If mode is omitted a... | |
doc_22911 | class ast.SetComp(elt, generators)
class ast.GeneratorExp(elt, generators)
class ast.DictComp(key, value, generators)
List and set comprehensions, generator expressions, and dictionary comprehensions. elt (or key and value) is a single node representing the part that will be evaluated for each item. generators is... | |
doc_22912 | See Migration guide for more details. tf.compat.v1.errors.UnimplementedError
tf.errors.UnimplementedError(
node_def, op, message
)
Some operations may raise this error when passed otherwise-valid arguments that it does not currently support. For example, running the tf.nn.max_pool2d operation would raise this er... | |
doc_22913 |
Set the value array from array-like A. Parameters
Aarray-like or None
The values that are mapped to colors. The base class ScalarMappable does not make any assumptions on the dimensionality and shape of the value array A. | |
doc_22914 |
Write out the info dictionary, checking it for good form | |
doc_22915 | os.RTLD_NOW
os.RTLD_GLOBAL
os.RTLD_LOCAL
os.RTLD_NODELETE
os.RTLD_NOLOAD
os.RTLD_DEEPBIND
Flags for use with the setdlopenflags() and getdlopenflags() functions. See the Unix manual page dlopen(3) for what the different flags mean. New in version 3.3. | |
doc_22916 |
A context manager to disable gradient synchronizations across DDP processes. Within this context, gradients will be accumulated on module variables, which will later be synchronized in the first forward-backward pass exiting the context. Example: >>> ddp = torch.nn.parallel.DistributedDataParallel(model, pg)
>>> with... | |
doc_22917 |
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_22918 |
Create a new Bbox from left, bottom, right and top. The y-axis increases upwards. Parameters
left, bottom, right, topfloat
The four extents of the bounding box.
minposfloat or None
If this is supplied, the Bbox will have a minimum positive value set. This is useful when dealing with logarithmic scales and o... | |
doc_22919 | Set ANNOTATIONs for mailbox. The method is non-standard, but is supported by the Cyrus server. | |
doc_22920 | tf.initializers.RandomUniform, tf.initializers.random_uniform, tf.keras.initializers.random_uniform
tf.keras.initializers.RandomUniform(
minval=-0.05, maxval=0.05, seed=None
)
Also available via the shortcut function tf.keras.initializers.random_uniform. Examples:
# Standalone usage:
initializer = tf.keras.init... | |
doc_22921 | See Migration guide for more details. tf.compat.v1.data.experimental.service.distribute
tf.data.experimental.service.distribute(
processing_mode, service, job_name=None, max_outstanding_requests=None
)
When you iterate over a dataset containing the distribute transformation, the tf.data service creates a "job" w... | |
doc_22922 |
A business day calendar object that efficiently stores information defining valid days for the busday family of functions. The default valid days are Monday through Friday (“business days”). A busdaycalendar object can be specified with any set of weekly valid days, plus an optional “holiday” dates that always will b... | |
doc_22923 | Returns a coalesced copy of self if self is an uncoalesced tensor. Returns self if self is a coalesced tensor. Warning Throws an error if self is not a sparse COO tensor. | |
doc_22924 | winreg.OpenKeyEx(key, sub_key, reserved=0, access=KEY_READ)
Opens the specified key, returning a handle object. key is an already open key, or one of the predefined HKEY_* constants. sub_key is a string that identifies the sub_key to open. reserved is a reserved integer, and must be zero. The default is zero. access ... | |
doc_22925 | tf.keras.estimator.model_to_estimator(
keras_model=None, keras_model_path=None, custom_objects=None, model_dir=None,
config=None, checkpoint_format='checkpoint', metric_names_map=None,
export_outputs=None
)
If you use infrastructure or other tooling that relies on Estimators, you can still build a Keras mo... | |
doc_22926 | See Migration guide for more details. tf.compat.v1.raw_ops.MapSize
tf.raw_ops.MapSize(
dtypes, capacity=0, memory_limit=0, container='',
shared_name='', name=None
)
Args
dtypes A list of tf.DTypes.
capacity An optional int that is >= 0. Defaults to 0.
memory_limit An optional int that is... | |
doc_22927 |
Bases: matplotlib.transforms.BboxBase A Bbox where some elements may be locked at certain values. When the child bounding box changes, the bounds of this bbox will update accordingly with the exception of the locked elements. Parameters
bboxBbox
The child bounding box to wrap.
x0float or None
The locked val... | |
doc_22928 |
Make a Categorical type from codes and categories or dtype. This constructor is useful if you already have codes and categories/dtype and so do not need the (computation intensive) factorization step, which is usually done on the constructor. If your data does not follow this convention, please use the normal constru... | |
doc_22929 | An error raised when something is impossible because it violates the WAV specification or hits an implementation deficiency. | |
doc_22930 | A “related manager” is a manager used in a one-to-many or many-to-many related context. This happens in two cases:
The “other side” of a ForeignKey relation. That is: from django.db import models
class Blog(models.Model):
# ...
pass
class Entry(models.Model):
blog = models.ForeignKey(Blog, on_delete=mod... | |
doc_22931 |
Registers a global forward hook for all the modules Warning This adds global state to the nn.module module and it is only intended for debugging/profiling purposes. The hook will be called every time after forward() has computed an output. It should have the following signature: hook(module, input, output) -> None ... | |
doc_22932 | tf.compat.v1.layers.SeparableConv2D(
filters, kernel_size, strides=(1, 1), padding='valid',
data_format='channels_last', dilation_rate=(1, 1), depth_multiplier=1,
activation=None, use_bias=True, depthwise_initializer=None,
pointwise_initializer=None, bias_initializer=tf.zeros_initializer(),
depthwis... | |
doc_22933 |
Draw the Artist (and its children) using the given renderer. This has no effect if the artist is not visible (Artist.get_visible returns False). Parameters
rendererRendererBase subclass.
Notes This method is overridden in the Artist subclasses. | |
doc_22934 | This method sorts the list in place, using only < comparisons between items. Exceptions are not suppressed - if any comparison operations fail, the entire sort operation will fail (and the list will likely be left in a partially modified state). sort() accepts two arguments that can only be passed by keyword (keyword-o... | |
doc_22935 |
Get the Timestamp for the start of the period. Returns
Timestamp
See also Period.end_time
Return the end Timestamp. Period.dayofyear
Return the day of year. Period.daysinmonth
Return the days in that month. Period.dayofweek
Return the day of the week. Examples
>>> period = pd.Period('2012-1-1', fre... | |
doc_22936 | An integer, the highest protocol version available. This value can be passed as a protocol value to functions dump() and dumps() as well as the Pickler constructor. | |
doc_22937 |
YCbCr to RGB color space conversion. Parameters
ycbcr(…, 3) array_like
The image in YCbCr format. Final dimension denotes channels. Returns
out(…, 3) ndarray
The image in RGB format. Same dimensions as input. Raises
ValueError
If ycbcr is not at least 2-D with shape (…, 3). Notes Y is between ... | |
doc_22938 |
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_22939 | Convenient way to get row and column indicators together. Returns the rows_ and columns_ members. | |
doc_22940 | Decorate a view function to register it for the given endpoint. Used if a rule is added without a view_func with add_url_rule(). app.add_url_rule("/ex", endpoint="example")
@app.endpoint("example")
def example():
...
Parameters
endpoint (str) – The endpoint name to associate with the view function. Return type... | |
doc_22941 | bytearray.lstrip([chars])
Return a copy of the sequence with specified leading bytes removed. The chars argument is a binary sequence specifying the set of byte values to be removed - the name refers to the fact this method is usually used with ASCII characters. If omitted or None, the chars argument defaults to remo... | |
doc_22942 | User-defined signal 2. Availability: Unix. | |
doc_22943 | tf.compat.v1.tpu.CrossShardOptimizer(
opt, reduction=losses.Reduction.MEAN, name='CrossShardOptimizer',
group_assignment=None
)
Args
opt An existing Optimizer to encapsulate.
reduction The reduction to apply to the shard losses.
name Optional name prefix for the operations created when app... | |
doc_22944 | turtle.onkeyrelease(fun, key)
Parameters
fun – a function with no arguments or None
key – a string: key (e.g. “a”) or key-symbol (e.g. “space”) Bind fun to key-release event of key. If fun is None, event bindings are removed. Remark: in order to be able to register key-events, TurtleScreen must have the focu... | |
doc_22945 | See Migration guide for more details. tf.compat.v1.raw_ops.NthElement
tf.raw_ops.NthElement(
input, n, reverse=False, name=None
)
If the input is a vector (rank-1), finds the entries which is the nth-smallest value in the vector and outputs their values as scalar tensor. For matrices (resp. higher rank input), c... | |
doc_22946 |
Sum of array elements over a given axis. Parameters
aarray_like
Elements to sum.
axisNone or int or tuple of ints, optional
Axis or axes along which a sum is performed. The default, axis=None, will sum all of the elements of the input array. If axis is negative it counts from the last to the first axis. Ne... | |
doc_22947 | Write the value on the open file. The value must be a supported type. The file must be a writeable binary file. If the value has (or contains an object that has) an unsupported type, a ValueError exception is raised — but garbage data will also be written to the file. The object will not be properly read back by load()... | |
doc_22948 |
Return a normalized rgba array corresponding to x. In the normal case, x is a 1D or 2D sequence of scalars, and the corresponding ndarray of rgba values will be returned, based on the norm and colormap set for this ScalarMappable. There is one special case, for handling images that are already rgb or rgba, such as mi... | |
doc_22949 | See Migration guide for more details. tf.compat.v1.raw_ops.SparseCross
tf.raw_ops.SparseCross(
indices, values, shapes, dense_inputs, hashed_output, num_buckets, hash_key,
out_type, internal_type, name=None
)
The op takes two lists, one of 2D SparseTensor and one of 2D Tensor, each representing features of o... | |
doc_22950 | The column corresponding to pos. | |
doc_22951 |
Computes sums, means or maxes of bags of embeddings, without instantiating the intermediate embeddings. See torch.nn.EmbeddingBag for more details. Note This operation may produce nondeterministic gradients when given tensors on a CUDA device. See Reproducibility for more information. Parameters
input (LongTens... | |
doc_22952 |
Compute the N-dimensional inverse discrete Fourier Transform. This function computes the inverse of the N-dimensional discrete Fourier Transform over any number of axes in an M-dimensional array by means of the Fast Fourier Transform (FFT). In other words, ifftn(fftn(a)) == a to within numerical accuracy. For a descr... | |
doc_22953 | See Migration guide for more details. tf.compat.v1.sparse.to_dense, tf.compat.v1.sparse_tensor_to_dense
tf.sparse.to_dense(
sp_input, default_value=None, validate_indices=True, name=None
)
This op is a convenience wrapper around sparse_to_dense for SparseTensors. For example, if sp_input has shape [3, 5] and non... | |
doc_22954 |
pygame module for image masks. Useful for fast pixel perfect collision detection. A mask uses 1 bit per-pixel to store which parts collide. New in pygame 1.8. pygame.mask.from_surface()
Creates a Mask from the given surface from_surface(Surface) -> Mask from_surface(Surface, threshold=127) -> Mask Creates a... | |
doc_22955 | Print information of uncollectable objects found (objects which are not reachable but cannot be freed by the collector). These objects will be added to the garbage list. Changed in version 3.2: Also print the contents of the garbage list at interpreter shutdown, if it isn’t empty. | |
doc_22956 | See Migration guide for more details. tf.compat.v1.nn.avg_pool1d
tf.nn.avg_pool1d(
input, ksize, strides, padding, data_format='NWC', name=None
)
Each entry in output is the mean of the corresponding size ksize window in value. Note internally this op reshapes and uses the underlying 2d operation.
Args
in... | |
doc_22957 | Pickles the record’s attribute dictionary in binary format with a length prefix, and returns it ready for transmission across the socket. The details of this operation are equivalent to: data = pickle.dumps(record_attr_dict, 1)
datalen = struct.pack('>L', len(data))
return datalen + data
Note that pickles aren’t compl... | |
doc_22958 |
Data-type of the array’s elements. Parameters
None
Returns
dnumpy dtype object
See also numpy.dtype
Examples >>> x
array([[0, 1],
[2, 3]])
>>> x.dtype
dtype('int32')
>>> type(x.dtype)
<type 'numpy.dtype'> | |
doc_22959 | Close the file descriptor of the polling object. New in version 3.4. | |
doc_22960 |
Adjust a range as needed to avoid singularities. This method gets called during autoscaling, with (v0, v1) set to the data limits on the axes if the axes contains any data, or (-inf, +inf) if not. If v0 == v1 (possibly up to some floating point slop), this method returns an expanded interval around this value. If (v... | |
doc_22961 | tf.experimental.numpy.rot90(
m, k=1, axes=(0, 1)
)
See the NumPy documentation for numpy.rot90. | |
doc_22962 | This method is called when a comment is encountered (e.g. <!--comment-->). For example, the comment <!-- comment --> will cause this method to be called with the argument ' comment '. The content of Internet Explorer conditional comments (condcoms) will also be sent to this method, so, for <!--[if IE 9]>IE9-specific co... | |
doc_22963 |
Encode the extension array as an enumerated type. Parameters
na_sentinel:int, default -1
Value to use in the codes array to indicate missing values. Returns
codes:ndarray
An integer NumPy array that’s an indexer into the original ExtensionArray.
uniques:ExtensionArray
An ExtensionArray containing th... | |
doc_22964 |
Return the figure's background patch visibility, i.e. whether the figure background will be drawn. Equivalent to Figure.patch.get_visible(). | |
doc_22965 |
Retained for backwards compatibility - use set_data instead. Parameters
Aarray-like | |
doc_22966 |
Rearrange index levels using input order. May not drop or duplicate levels. Parameters
order:list of int or list of str
List representing new level order. Reference level by number (position) or by key (label).
axis:{0 or ‘index’, 1 or ‘columns’}, default 0
Where to reorder levels. Returns
DataFrame
... | |
doc_22967 | os.MFD_ALLOW_SEALING
os.MFD_HUGETLB
os.MFD_HUGE_SHIFT
os.MFD_HUGE_MASK
os.MFD_HUGE_64KB
os.MFD_HUGE_512KB
os.MFD_HUGE_1MB
os.MFD_HUGE_2MB
os.MFD_HUGE_8MB
os.MFD_HUGE_16MB
os.MFD_HUGE_32MB
os.MFD_HUGE_256MB
os.MFD_HUGE_512MB
os.MFD_HUGE_1GB
os.MFD_HUGE_2GB
os.MFD_HUGE_16GB
These flags can... | |
doc_22968 |
Return the coefficient of determination \(R^2\) of the prediction. The coefficient \(R^2\) is defined as \((1 - \frac{u}{v})\), where \(u\) is the residual sum of squares ((y_true - y_pred)
** 2).sum() and \(v\) is the total sum of squares ((y_true -
y_true.mean()) ** 2).sum(). The best possible score is 1.0 and it c... | |
doc_22969 |
Bases: skimage.viewer.widgets.core.BaseWidget Buttons that close the parent plugin. OK will replace the original image with the current (filtered) image. Cancel will just close the plugin.
__init__(button_width=80) [source]
Initialize self. See help(type(self)) for accurate signature.
close_plugin() [source]
... | |
doc_22970 | See Migration guide for more details. tf.compat.v1.raw_ops.InvertPermutation
tf.raw_ops.InvertPermutation(
x, name=None
)
This operation computes the inverse of an index permutation. It takes a 1-D integer tensor x, which represents the indices of a zero-based array, and swaps each value with its index position.... | |
doc_22971 | The file name. This is the file descriptor of the file when no name is given in the constructor. | |
doc_22972 |
This is the quantized version of BatchNorm3d. | |
doc_22973 | A legacy wrapper around find_spec(). Deprecated since version 3.4: Use find_spec() instead. | |
doc_22974 | tf.compat.v1.nn.rnn_cell.RNNCell(
trainable=True, name=None, dtype=None, **kwargs
)
Every RNNCell must have the properties below and implement call with the signature (output, next_state) = call(input, state). The optional third input argument, scope, is allowed for backwards compatibility purposes; but should be ... | |
doc_22975 | The type of asynchronous generator-iterator objects, created by asynchronous generator functions. New in version 3.6. | |
doc_22976 |
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_22977 |
Set the artist transform. Parameters
tTransform | |
doc_22978 | http.client is a low-level HTTP protocol client; for high-level URL opening use urllib.request
http.server contains basic HTTP server classes based on socketserver
http.cookies has utilities for implementing state management with cookies
http.cookiejar provides persistence of cookies http is also a module that de... | |
doc_22979 |
Calculate the ewm (exponential weighted moment) sample covariance. Parameters
other:Series or DataFrame , optional
If not supplied then will default to self and produce pairwise output.
pairwise:bool, default None
If False then only matching columns between self and other will be used and the output will be... | |
doc_22980 | See Migration guide for more details. tf.compat.v1.raw_ops.ExperimentalGroupByWindowDataset
tf.raw_ops.ExperimentalGroupByWindowDataset(
input_dataset, key_func_other_arguments, reduce_func_other_arguments,
window_size_func_other_arguments, key_func, reduce_func, window_size_func,
output_types, output_sha... | |
doc_22981 | See Migration guide for more details. tf.compat.v1.app.flags.DEFINE_list
tf.compat.v1.flags.DEFINE_list(
name, default, help, flag_values=_flagvalues.FLAGS, **args
)
The flag value is parsed with a CSV parser.
Args
name str, the flag name.
default list|str|None, the default value of the flag.
... | |
doc_22982 | In-place version of igammac() | |
doc_22983 |
Return boolean if values in the object are monotonic_decreasing. Returns
bool | |
doc_22984 | See Migration guide for more details. tf.compat.v1.raw_ops.RaggedBincount
tf.raw_ops.RaggedBincount(
splits, values, size, weights, binary_output=False, name=None
)
Outputs a vector with length size and the same dtype as weights. If weights are empty, then index i stores the number of times the value i is counte... | |
doc_22985 |
Sets the module in evaluation mode. This has any effect only on certain modules. See documentations of particular modules for details of their behaviors in training/evaluation mode, if they are affected, e.g. Dropout, BatchNorm, etc. This is equivalent with self.train(False). Returns
self Return type
Module | |
doc_22986 |
Bases: matplotlib.artist.Artist A patch is a 2D artist with a face color and an edge color. If any of edgecolor, facecolor, linewidth, or antialiased are None, they default to their rc params setting. The following kwarg properties are supported
Property Description
agg_filter a filter function, which takes a (... | |
doc_22987 |
Roll provided date forward to next offset only if not on offset. Returns
TimeStamp
Rolled timestamp if not on offset, otherwise unchanged timestamp. | |
doc_22988 |
Set the resolution of the figure in dots-per-inch. Parameters
valfloat | |
doc_22989 |
return a list of floats | |
doc_22990 | Returns True if this geometry covers the specified geometry. The covers predicate has the following equivalent definitions: Every point of the other geometry is a point of this geometry. The DE-9IM Intersection Matrix for the two geometries is T*****FF*, *T****FF*, ***T**FF*, or ****T*FF*. If either geometry is empty... | |
doc_22991 |
Holds submodules in a list. ModuleList can be indexed like a regular Python list, but modules it contains are properly registered, and will be visible by all Module methods. Parameters
modules (iterable, optional) – an iterable of modules to add Example: class MyModule(nn.Module):
def __init__(self):
... | |
doc_22992 |
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_22993 | See Migration guide for more details. tf.compat.v1.tpu.experimental.embedding.TPUEmbedding
tf.tpu.experimental.embedding.TPUEmbedding(
feature_config: Any,
optimizer: Optional[tpu_embedding_v2_utils._Optimizer],
pipeline_execution_with_tensor_core: bool = False
)
Note: When instantiated under a TPUStrat... | |
doc_22994 |
Get the artist's bounding box in display space. The bounding box' width and height are nonnegative. Subclasses should override for inclusion in the bounding box "tight" calculation. Default is to return an empty bounding box at 0, 0. Be careful when using this function, the results will not update if the artist windo... | |
doc_22995 |
Extract information from an AFM font file. Parameters
fontAFM
The AFM font file from which information will be extracted. Returns
FontEntry
The extracted font properties. | |
doc_22996 | See Migration guide for more details. tf.compat.v1.errors.ResourceExhaustedError
tf.errors.ResourceExhaustedError(
node_def, op, message
)
For example, this error might be raised if a per-user quota is exhausted, or perhaps the entire file system is out of space.
Attributes
error_code The integer error ... | |
doc_22997 |
Set the colormap to 'magma'. This changes the default colormap as well as the colormap of the current image if there is one. See help(colormaps) for more information. | |
doc_22998 |
Call predict on the estimator with the best found parameters. Only available if refit=True and the underlying estimator supports predict. Parameters
Xindexable, length n_samples
Must fulfill the input assumptions of the underlying estimator. | |
doc_22999 | See Migration guide for more details. tf.compat.v1.feature_column.numeric_column
tf.feature_column.numeric_column(
key, shape=(1,), default_value=None, dtype=tf.dtypes.float32, normalizer_fn=None
)
Example: price = numeric_column('price')
columns = [price, ...]
features = tf.io.parse_example(..., features=make_p... |
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