_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_1600 |
Estimate mutual information for a discrete target variable. Mutual information (MI) [1] between two random variables is a non-negative value, which measures the dependency between the variables. It is equal to zero if and only if two random variables are independent, and higher values mean higher dependency. The func... | |
doc_1601 |
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_1602 | Insert an ms millisecond pause in output. | |
doc_1603 | Return r length subsequences of elements from the input iterable. The combination tuples are emitted in lexicographic ordering according to the order of the input iterable. So, if the input iterable is sorted, the combination tuples will be produced in sorted order. Elements are treated as unique based on their positio... | |
doc_1604 | Write the bytes-like object, b, and return the number of bytes written. When in non-blocking mode, a BlockingIOError is raised if the buffer needs to be written out but the raw stream blocks. | |
doc_1605 | Create a shared threading.Lock object and return a proxy for it. | |
doc_1606 |
Fills the input Tensor with values according to the method described in Delving deep into rectifiers: Surpassing human-level performance on ImageNet classification - He, K. et al. (2015), using a normal distribution. The resulting tensor will have values sampled from N(0,std2)\mathcal{N}(0, \text{std}^2) where std=... | |
doc_1607 |
Alias for get_markeredgewidth. | |
doc_1608 | The popitem() method for ordered dictionaries returns and removes a (key, value) pair. The pairs are returned in LIFO order if last is true or FIFO order if false. | |
doc_1609 | Reset number of calls to 0. | |
doc_1610 |
Set whether autoscaling is applied to each axis on the next draw or call to Axes.autoscale_view. Parameters
bbool | |
doc_1611 |
Evaluate the log density model on the data. Parameters
Xarray-like of shape (n_samples, n_features)
An array of points to query. Last dimension should match dimension of training data (n_features). Returns
densityndarray of shape (n_samples,)
The array of log(density) evaluations. These are normalized t... | |
doc_1612 |
Map all characters in the string through the given mapping table. Equivalent to standard str.translate(). Parameters
table:dict
Table is a mapping of Unicode ordinals to Unicode ordinals, strings, or None. Unmapped characters are left untouched. Characters mapped to None are deleted. str.maketrans() is a helper... | |
doc_1613 |
Return the sketch parameters for the artist. Returns
tuple or None
A 3-tuple with the following elements:
scale: The amplitude of the wiggle perpendicular to the source line.
length: The length of the wiggle along the line.
randomness: The scale factor by which the length is shrunken or expanded. Returns Non... | |
doc_1614 |
Returns the field names of the input datatype as a tuple. Nested structure are flattened beforehand. Parameters
adtypedtype
Input datatype Examples >>> from numpy.lib import recfunctions as rfn
>>> rfn.get_names_flat(np.empty((1,), dtype=int)) is None
Traceback (most recent call last):
...
AttributeErro... | |
doc_1615 |
Computes the exponential chi-squared kernel X and Y. The chi-squared kernel is computed between each pair of rows in X and Y. X and Y have to be non-negative. This kernel is most commonly applied to histograms. The chi-squared kernel is given by: k(x, y) = exp(-gamma Sum [(x - y)^2 / (x + y)])
It can be interpreted ... | |
doc_1616 | In range(24). | |
doc_1617 |
Alias for get_linewidth. | |
doc_1618 |
Get multilinebaseline. | |
doc_1619 |
Return the sketch parameters for the artist. Returns
tuple or None
A 3-tuple with the following elements:
scale: The amplitude of the wiggle perpendicular to the source line.
length: The length of the wiggle along the line.
randomness: The scale factor by which the length is shrunken or expanded. Returns Non... | |
doc_1620 |
Return array of indices to the minimum values along the given axis. Parameters
axis{None, integer}
If None, the index is into the flattened array, otherwise along the specified axis
fill_valuescalar or None, optional
Value used to fill in the masked values. If None, the output of minimum_fill_value(self._da... | |
doc_1621 | The associated Paginator object. | |
doc_1622 | Gets whether the font is scalable scalable -> bool Read only. Returns True if the font contains outline glyphs. If so, the point size is not limited to available bitmap sizes. | |
doc_1623 |
Returns the time elapsed in milliseconds after the event was recorded and before the end_event was recorded. | |
doc_1624 | get the music volume get_volume() -> value Returns the current volume for the mixer. The value will be between 0.0 and 1.0. | |
doc_1625 | add a sprite or sequence of sprites to a group add(*sprites, **kwargs) -> None If the sprite(s) have an attribute layer then that is used for the layer. If **kwargs contains 'layer' then the sprite(s) will be added to that argument (overriding the sprite layer attribute). If neither is passed then the sprite(s) will ... | |
doc_1626 |
Add a callback function that will be called whenever one of the Artist's properties changes. Parameters
funccallable
The callback function. It must have the signature: def func(artist: Artist) -> Any
where artist is the calling Artist. Return values may exist but are ignored. Returns
int
The observer id ... | |
doc_1627 |
Project the sample on the first eigenvectors of the graph Laplacian. The adjacency matrix is used to compute a normalized graph Laplacian whose spectrum (especially the eigenvectors associated to the smallest eigenvalues) has an interpretation in terms of minimal number of cuts necessary to split the graph into compa... | |
doc_1628 | Exceptions are re-raised rather than being handled by the app’s error handlers. If not set, this is implicitly true if TESTING or DEBUG is enabled. Default: None | |
doc_1629 |
Return the JoinStyle. | |
doc_1630 |
Apply the transform to Path path, returning a new Path. In some cases, this transform may insert curves into the path that began as line segments. | |
doc_1631 | A list of objects which the collector found to be unreachable but could not be freed (uncollectable objects). Starting with Python 3.4, this list should be empty most of the time, except when using instances of C extension types with a non-NULL tp_del slot. If DEBUG_SAVEALL is set, then all unreachable objects will be ... | |
doc_1632 |
Return the predictions for X for each estimator. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
Training vectors, where n_samples is the number of samples and n_features is the number of features. Returns
y_predsndarray of shape (n_samples, n_estimators)
Prediction outputs for ... | |
doc_1633 |
Pandas replacement for python datetime.datetime object. Timestamp is the pandas equivalent of python’s Datetime and is interchangeable with it in most cases. It’s the type used for the entries that make up a DatetimeIndex, and other timeseries oriented data structures in pandas. Parameters
ts_input:datetime-like,... | |
doc_1634 |
Parameters
bboxBbox
transformTransform | |
doc_1635 |
Set the path effects. Parameters
path_effectsAbstractPathEffect | |
doc_1636 | Transform a method into a class method. A class method receives the class as implicit first argument, just like an instance method receives the instance. To declare a class method, use this idiom: class C:
@classmethod
def f(cls, arg1, arg2, ...): ...
The @classmethod form is a function decorator – see Functio... | |
doc_1637 | Send a pickled byte-string packet to the socket. The format of the sent byte-string is as described in the documentation for makePickle(). This function allows for partial sends, which can happen when the network is busy. | |
doc_1638 | See Migration guide for more details. tf.compat.v1.raw_ops.FixedLengthRecordReader
tf.raw_ops.FixedLengthRecordReader(
record_bytes, header_bytes=0, footer_bytes=0, hop_bytes=0,
container='', shared_name='', name=None
)
Args
record_bytes An int. Number of bytes in the record.
header_bytes An o... | |
doc_1639 | 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_1640 | tf.compat.v1.distributions.Uniform(
low=0.0, high=1.0, validate_args=False, allow_nan_stats=True,
name='Uniform'
)
Mathematical Details The probability density function (pdf) is, pdf(x; a, b) = I[a <= x < b] / Z
Z = b - a
where
low = a,
high = b,
Z is the normalizing constant, and
I[predicate] is the ind... | |
doc_1641 |
Access a single value for a row/column label pair. Similar to loc, in that both provide label-based lookups. Use at if you only need to get or set a single value in a DataFrame or Series. Raises
KeyError
If ‘label’ does not exist in DataFrame. See also DataFrame.iat
Access a single value for a row/column p... | |
doc_1642 | Files which are in both a and b, whose contents differ according to the class’s file comparison operator. | |
doc_1643 | Register a new child handler. Arrange for callback(pid, returncode, *args) to be called when a process with PID equal to pid terminates. Specifying another callback for the same process replaces the previous handler. The callback callable must be thread-safe. | |
doc_1644 | set the total number of playback channels set_num_channels(count) -> None Sets the number of available channels for the mixer. The default value is 8. The value can be increased or decreased. If the value is decreased, sounds playing on the truncated channels are stopped. | |
doc_1645 | Return or set pencolor and fillcolor. Several input formats are allowed. They use 0 to 3 arguments as follows:
color()
Return the current pencolor and the current fillcolor as a pair of color specification strings or tuples as returned by pencolor() and fillcolor().
color(colorstring), color((r,g,b)), color(r,g,b... | |
doc_1646 | tf.map_fn(
fn, elems, dtype=None, parallel_iterations=None, back_prop=True,
swap_memory=False, infer_shape=True, name=None, fn_output_signature=None
)
Warning: SOME ARGUMENTS ARE DEPRECATED: (dtype). They will be removed in a future version. Instructions for updating: Use fn_output_signature instead See also t... | |
doc_1647 | Get program scheduling priority. The value which is one of PRIO_PROCESS, PRIO_PGRP, or PRIO_USER, and who is interpreted relative to which (a process identifier for PRIO_PROCESS, process group identifier for PRIO_PGRP, and a user ID for PRIO_USER). A zero value for who denotes (respectively) the calling process, the pr... | |
doc_1648 | For syntax errors - the line number where the error occurred. | |
doc_1649 | Between 1 and 12 inclusive. | |
doc_1650 | Set the garbage collection thresholds (the collection frequency). Setting threshold0 to zero disables collection. The GC classifies objects into three generations depending on how many collection sweeps they have survived. New objects are placed in the youngest generation (generation 0). If an object survives a collect... | |
doc_1651 |
alias of numpy.testing._private.nosetester.NoseTester | |
doc_1652 |
Set the parameters of this kernel. The method works on simple kernels as well as on nested kernels. The latter have parameters of the form <component>__<parameter> so that it’s possible to update each component of a nested object. Returns
self | |
doc_1653 |
Bases: object A multi-page PDF file using the pgf backend Examples >>> import matplotlib.pyplot as plt
>>> # Initialize:
>>> with PdfPages('foo.pdf') as pdf:
... # As many times as you like, create a figure fig and save it:
... fig = plt.figure()
... pdf.savefig(fig)
... # When no figure is specified ... | |
doc_1654 |
Set the lower value of the slider to min. Parameters
minfloat | |
doc_1655 | See Migration guide for more details. tf.compat.v1.app.flags.tf_decorator.tf_stack.StackSummary
tf.compat.v1.flags.tf_decorator.tf_stack.StackSummary()
Methods append
append()
append(self: tensorflow.python._tf_stack.StackSummary, x: tensorflow.python._tf_stack.FrameSummary) -> None Add an item to the end of the l... | |
doc_1656 |
Return the number of rows and columns of the grid as (nrows, ncols). | |
doc_1657 | Locale category for message display. Python currently does not support application specific locale-aware messages. Messages displayed by the operating system, like those returned by os.strerror() might be affected by this category. | |
doc_1658 |
Fit the model and transform with the final estimator Fits all the transforms one after the other and transforms the data, then uses fit_transform on transformed data with the final estimator. Parameters
Xiterable
Training data. Must fulfill input requirements of first step of the pipeline.
yiterable, default=... | |
doc_1659 | Look up a handler function based on the mimetype of msg (see next paragraph), call it, passing through all arguments, and return the result of the call. The expectation is that the handler will extract the payload from msg and return an object that encodes information about the extracted data. To find the handler, look... | |
doc_1660 | Returns a list of windows managed by the notebook. | |
doc_1661 | Returns the (flattened, log-transformed) non-fixed hyperparameters. Note that theta are typically the log-transformed values of the kernel’s hyperparameters as this representation of the search space is more amenable for hyperparameter search, as hyperparameters like length-scales naturally live on a log-scale. Return... | |
doc_1662 | See Migration guide for more details. tf.compat.v1.keras.preprocessing.sequence.TimeseriesGenerator
tf.keras.preprocessing.sequence.TimeseriesGenerator(
data, targets, length, sampling_rate=1, stride=1, start_index=0, end_index=None,
shuffle=False, reverse=False, batch_size=128
)
This class takes in a sequen... | |
doc_1663 | Filter the files by directory. | |
doc_1664 | The prompt issued to solicit input. | |
doc_1665 | class code.InteractiveInterpreter(locals=None)
This class deals with parsing and interpreter state (the user’s namespace); it does not deal with input buffering or prompting or input file naming (the filename is always passed in explicitly). The optional locals argument specifies the dictionary in which code will be ... | |
doc_1666 | set the image for the mouse cursor set_cursor(size, hotspot, xormasks, andmasks) -> None When the mouse cursor is visible, it will be displayed as a black and white bitmap using the given bitmask arrays. The size is a sequence containing the cursor width and height. hotspot is a sequence containing the cursor hotspot... | |
doc_1667 | A decorator for running a function in a different locale, correctly resetting it after it has finished. catstr is the locale category as a string (for example "LC_ALL"). The locales passed will be tried sequentially, and the first valid locale will be used. | |
doc_1668 | The name of the file that this DocTest was extracted from; or None if the filename is unknown, or if the DocTest was not extracted from a file. | |
doc_1669 | See Migration guide for more details. tf.compat.v1.sort
tf.sort(
values, axis=-1, direction='ASCENDING', name=None
)
Usage: import tensorflow as tf
a = [1, 10, 26.9, 2.8, 166.32, 62.3]
b = tf.sort(a,axis=-1,direction='ASCENDING',name=None)
c = tf.keras.backend.eval(b)
# Here, c = [ 1. 2.8 10. 26.9 62... | |
doc_1670 | Call os.rmdir() on filename. On Windows platforms, this is wrapped with a wait loop that checks for the existence of the file. | |
doc_1671 |
Convert a collection of text documents to a matrix of token occurrences It turns a collection of text documents into a scipy.sparse matrix holding token occurrence counts (or binary occurrence information), possibly normalized as token frequencies if norm=’l1’ or projected on the euclidean unit sphere if norm=’l2’. T... | |
doc_1672 | See Migration guide for more details. tf.compat.v1.raw_ops.ChooseFastestBranchDataset
tf.raw_ops.ChooseFastestBranchDataset(
input_dataset, ratio_numerator, ratio_denominator, other_arguments,
num_elements_per_branch, branches, other_arguments_lengths, output_types,
output_shapes, name=None
)
Args
... | |
doc_1673 |
logistic transform (base 10) | |
doc_1674 | See Migration guide for more details. tf.compat.v1.nn.in_top_k
tf.compat.v1.math.in_top_k(
predictions, targets, k, name=None
)
This outputs a batch_size bool array, an entry out[i] is true if the prediction for the target class is finite (not inf, -inf, or nan) and among the top k predictions among all predicti... | |
doc_1675 |
Return the cumulative sum of the elements along the given axis. Refer to numpy.cumsum for full documentation. See also numpy.cumsum
equivalent function | |
doc_1676 | """
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_1677 | The base class for custom dialogs.
body(master)
Override to construct the dialog’s interface and return the widget that should have initial focus.
buttonbox()
Default behaviour adds OK and Cancel buttons. Override for custom button layouts. | |
doc_1678 |
Bases: tornado.web.Application classAllFiguresPage(application, request, *, url_prefix='', **kwargs)[source]
Bases: tornado.web.RequestHandler get()[source]
classDownload(application:tornado.web.Application, request:tornado.httputil.HTTPServerRequest, **kwargs:Any)[source]
Bases: tornado.web.RequestHand... | |
doc_1679 | Beta distribution. Conditions on the parameters are alpha > 0 and beta > 0. Returned values range between 0 and 1. | |
doc_1680 | See Migration guide for more details. tf.compat.v1.linalg.LinearOperatorCirculant2D
tf.linalg.LinearOperatorCirculant2D(
spectrum, input_output_dtype=tf.dtypes.complex64, is_non_singular=None,
is_self_adjoint=None, is_positive_definite=None, is_square=True,
name='LinearOperatorCirculant2D'
)
This operato... | |
doc_1681 |
Modify an array or sequence in-place by shuffling its contents. The order of sub-arrays is changed but their contents remains the same. Parameters
xndarray or MutableSequence
The array, list or mutable sequence to be shuffled.
axisint, optional
The axis which x is shuffled along. Default is 0. It is only su... | |
doc_1682 | get the approximate power status of the device get_power_level() -> str Get a string giving the power status of the device. One of: empty, low, medium, full, wired, max, or unknown. New in pygame 2.0.0dev11. | |
doc_1683 |
Fit the transformer on X. Parameters
X{array-like, sparse matrix}, shape (n_samples, n_features)
Input data, where n_samples is the number of samples and n_features is the number of features. Returns
selfobject
Returns self. | |
doc_1684 |
Apply feature map to X. Computes an approximate feature map using the kernel between some training points and X. Parameters
Xarray-like of shape (n_samples, n_features)
Data to transform. Returns
X_transformedndarray of shape (n_samples, n_components)
Transformed data. | |
doc_1685 |
Call score_samples on the estimator with the best found parameters. Only available if refit=True and the underlying estimator supports score_samples. New in version 0.24. Parameters
Xiterable
Data to predict on. Must fulfill input requirements of the underlying estimator. Returns
y_scorendarray of shape... | |
doc_1686 | This filter will only pass on records when settings.DEBUG is False. This filter is used as follows in the default LOGGING configuration to ensure that the AdminEmailHandler only sends error emails to admins when DEBUG is False: 'filters': {
'require_debug_false': {
'()': 'django.utils.log.RequireDebugFalse'... | |
doc_1687 | tf.compat.v1.strings.length(
input, name=None, unit='BYTE'
)
strings = tf.constant(['Hello','TensorFlow', '🙂'])
tf.strings.length(strings).numpy() # default counts bytes
array([ 5, 10, 4], dtype=int32)
tf.strings.length(strings, unit="UTF8_CHAR").numpy()
array([ 5, 10, 1], dtype=int32)
Args
input A Ten... | |
doc_1688 |
Bases: matplotlib.ticker.Locator Find nice tick locations with no more than N being within the view limits. Locations beyond the limits are added to support autoscaling. Parameters
nbinsint or 'auto', default: 10
Maximum number of intervals; one less than max number of ticks. If the string 'auto', the number of... | |
doc_1689 |
Mask rows of a 2D array that contain masked values. This function is a shortcut to mask_rowcols with axis equal to 0. See also mask_rowcols
Mask rows and/or columns of a 2D array. masked_where
Mask where a condition is met. Examples >>> import numpy.ma as ma
>>> a = np.zeros((3, 3), dtype=int)
>>> a[1, 1] = 1... | |
doc_1690 |
Check whether an array-like is a 1-D pandas sparse array. Check that the one-dimensional array-like is a pandas sparse array. Returns True if it is a pandas sparse array, not another type of sparse array. Parameters
arr:array-like
Array-like to check. Returns
bool
Whether or not the array-like is a pandas... | |
doc_1691 |
Return a dictionary of subplot layout parameters. | |
doc_1692 |
For image backends - is not required. For GUI backends - this should be overridden if drawing should be done in interactive python mode. | |
doc_1693 |
[Deprecated] Search for fonts in the specified font directory, or use the system directories if none given. Additionally, it is searched for user fonts installed. A list of TrueType font filenames are returned by default, or AFM fonts if fontext == 'afm'. Notes Deprecated since version 3.5. | |
doc_1694 | Time of most recent access expressed in nanoseconds as an integer. | |
doc_1695 | This function takes an input source and an optional base URL and returns a fully resolved InputSource object ready for reading. The input source can be given as a string, a file-like object, or an InputSource object; parsers will use this function to implement the polymorphic source argument to their parse() method. | |
doc_1696 |
Print useful debugging information” New in version 0.20. | |
doc_1697 | Boolean flag that is True if the field has a many-to-many relation; False otherwise. The only field included with Django where this is True is ManyToManyField. | |
doc_1698 | See Migration guide for more details. tf.compat.v1.raw_ops.IgammaGradA
tf.raw_ops.IgammaGradA(
a, x, name=None
)
Args
a A Tensor. Must be one of the following types: float32, float64.
x A Tensor. Must have the same type as a.
name A name for the operation (optional).
Returns A Tens... | |
doc_1699 |
Return the JoinStyle for solid lines. See also set_solid_joinstyle. |
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