_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_12600 | The full name of a template to use for the subject of the email with the reset password link. Defaults to registration/password_reset_subject.txt if not supplied. | |
doc_12601 | A classmethod which can be used for registering a type or callable with the manager class. typeid is a “type identifier” which is used to identify a particular type of shared object. This must be a string. callable is a callable used for creating objects for this type identifier. If a manager instance will be connected... | |
doc_12602 |
Find iso-valued contours in a 2D array for a given level value. Uses the “marching squares” method to compute a the iso-valued contours of the input 2D array for a particular level value. Array values are linearly interpolated to provide better precision for the output contours. Parameters
image2D ndarray of doub... | |
doc_12603 |
Convert the postscript to encapsulated postscript. The bbox of the eps file will be replaced with the given bbox argument. If None, original bbox will be used. | |
doc_12604 | This class implements temporary breakpoints, ignore counts, disabling and (re-)enabling, and conditionals. Breakpoints are indexed by number through a list called bpbynumber and by (file, line) pairs through bplist. The former points to a single instance of class Breakpoint. The latter points to a list of such instance... | |
doc_12605 | tf.saturate_cast Compat aliases for migration See Migration guide for more details. tf.compat.v1.dtypes.saturate_cast, tf.compat.v1.saturate_cast
tf.dtypes.saturate_cast(
value, dtype, name=None
)
This function casts the input to dtype without applying any scaling. If there is a danger that values would over or ... | |
doc_12606 |
Return an ndarray of tuples of the form (left, right). Parameters
na_tuple:bool, default True
Returns NA as a tuple if True, (nan, nan), or just as the NA value itself if False, nan. Returns
tuples: ndarray | |
doc_12607 |
Gauss-Legendre quadrature. Computes the sample points and weights for Gauss-Legendre quadrature. These sample points and weights will correctly integrate polynomials of degree \(2*deg - 1\) or less over the interval \([-1, 1]\) with the weight function \(f(x) = 1\). Parameters
degint
Number of sample points and... | |
doc_12608 | Fetch truncated part of a message. Returned data is a tuple of message part envelope and data. | |
doc_12609 | A constant value. The value attribute of the Constant literal contains the Python object it represents. The values represented can be simple types such as a number, string or None, but also immutable container types (tuples and frozensets) if all of their elements are constant. >>> print(ast.dump(ast.parse('123', mode=... | |
doc_12610 |
Bases: matplotlib.text.Text Unlike the ordinary text, the get_rotation returns an updated angle in the pixel coordinate assuming that the input rotation is an angle in data coordinate (or whatever transform set). Create a Text instance at x, y with string text. Valid keyword arguments are:
Property Description
... | |
doc_12611 | The URL to redirect to, as a string. Or None to raise a 410 (Gone) HTTP error. | |
doc_12612 |
Number of array dimensions. Examples >>> x = np.array([1, 2, 3])
>>> x.ndim
1
>>> y = np.zeros((2, 3, 4))
>>> y.ndim
3 | |
doc_12613 |
Plot the power spectral density. The power spectral density \(P_{xx}\) by Welch's average periodogram method. The vector x is divided into NFFT length segments. Each segment is detrended by function detrend and windowed by function window. noverlap gives the length of the overlap between segments. The \(|\mathrm{fft}... | |
doc_12614 | skimage.registration.optical_flow_ilk(…[, …]) Coarse to fine optical flow estimator.
skimage.registration.optical_flow_tvl1(…) Coarse to fine optical flow estimator.
skimage.registration.phase_cross_correlation(…) Efficient subpixel image translation registration by cross-correlation. optical_flow_ilk
skimage.r... | |
doc_12615 |
Parse the given fontconfig pattern and return a dictionary of key/value pairs useful for initializing a font_manager.FontProperties object. | |
doc_12616 | Installs the btree_gin extension. | |
doc_12617 | Return True if the path is a mount point: a point in a file system where a different file system has been mounted. On POSIX, the function checks whether path’s parent, path/.., is on a different device than path, or whether path/.. and path point to the same i-node on the same device — this should detect mount points f... | |
doc_12618 | Deprecated since version 3.2: Use read_file() instead. Changed in version 3.2: readfp() now iterates on fp instead of calling fp.readline(). For existing code calling readfp() with arguments which don’t support iteration, the following generator may be used as a wrapper around the file-like object: def readline_gen... | |
doc_12619 |
Exp-Sine-Squared kernel (aka periodic kernel). The ExpSineSquared kernel allows one to model functions which repeat themselves exactly. It is parameterized by a length scale parameter \(l>0\) and a periodicity parameter \(p>0\). Only the isotropic variant where \(l\) is a scalar is supported at the moment. The kernel... | |
doc_12620 | turtle.fd(distance)
Parameters
distance – a number (integer or float) Move the turtle forward by the specified distance, in the direction the turtle is headed. >>> turtle.position()
(0.00,0.00)
>>> turtle.forward(25)
>>> turtle.position()
(25.00,0.00)
>>> turtle.forward(-75)
>>> turtle.position()
(-50.00,0.00) | |
doc_12621 | See Migration guide for more details. tf.compat.v1.strings.ngrams
tf.strings.ngrams(
data, ngram_width, separator=' ', pad_values=None, padding_width=None,
preserve_short_sequences=False, name=None
)
Creates a tensor of n-grams based on data. The n-grams are created by joining windows of width adjacent strin... | |
doc_12622 | Return x divided by y. | |
doc_12623 |
Return len(a) element-wise. Parameters
aarray_like of str or unicode
Returns
outndarray
Output array of integers See also builtins.len | |
doc_12624 | Returns a new tensor with the reciprocal of the elements of input Note Unlike NumPy’s reciprocal, torch.reciprocal supports integral inputs. Integral inputs to reciprocal are automatically promoted to the default scalar type. outi=1inputi\text{out}_{i} = \frac{1}{\text{input}_{i}}
Parameters
input (Tensor) – the... | |
doc_12625 | The type of the objects returned by expr(), suite() and sequence2st(). | |
doc_12626 |
Incrementally fit the model to data. Fit a separate model for each output variable. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
Data.
y{array-like, sparse matrix} of shape (n_samples, n_outputs)
Multi-output targets.
sample_weightarray-like of shape (n_samples,), default=None ... | |
doc_12627 |
Bases: matplotlib.backends._backend_pdf_ps.RendererPDFPSBase check_gc(gc, fillcolor=None)[source]
draw_gouraud_triangle(gc, points, colors, trans)[source]
Draw a Gouraud-shaded triangle. Parameters
gcGraphicsContextBase
The graphics context.
points(3, 2) array-like
Array of (x, y) points for the tri... | |
doc_12628 | Unregister an unpack format. name is the name of the format. | |
doc_12629 | length of a cdrom track get_track_length(track) -> seconds Return a floating point value in seconds of the length of the cdrom track. Note, track 0 is the first track on the CD. Track numbers start at zero. | |
doc_12630 |
Creates a criterion that optimizes a multi-label one-versus-all loss based on max-entropy, between input xx and target yy of size (N,C)(N, C) . For each sample in the minibatch: loss(x,y)=−1C∗∑iy[i]∗log((1+exp(−x[i]))−1)+(1−y[i])∗log(exp(−x[i])(1+exp(−x[i])))loss(x, y) = - \frac{1}{C} * \sum_i y[i] * \log((1 ... | |
doc_12631 | Retry the request with authentication information, if available. | |
doc_12632 |
Compute the eigenvalues and right eigenvectors of a square array. Parameters
a(…, M, M) array
Matrices for which the eigenvalues and right eigenvectors will be computed Returns
w(…, M) array
The eigenvalues, each repeated according to its multiplicity. The eigenvalues are not necessarily ordered. The re... | |
doc_12633 | Atomicity is the defining property of database transactions. atomic allows us to create a block of code within which the atomicity on the database is guaranteed. If the block of code is successfully completed, the changes are committed to the database. If there is an exception, the changes are rolled back. atomic block... | |
doc_12634 |
Bases: matplotlib.transforms.Transform Parameters
shorthand_namestr
A string representing the "name" of the transform. The name carries no significance other than to improve the readability of str(transform) when DEBUG=True. has_inverse=True
True if this transform has a corresponding inverse transform. ... | |
doc_12635 |
Filename of the image. str: Filename of the image to use in a Toolbar. If None, the name is used as a label in the toolbar button. | |
doc_12636 |
Mixin class for FFMpeg output. To be useful this must be multiply-inherited from with a MovieWriterBase sub-class. __init__(*args, **kwargs)
Methods
__init__(*args, **kwargs) Attributes
output_args propertyoutput_args | |
doc_12637 | Return a iterator of (key, values) pairs, where values is the list of all values associated with the key. | |
doc_12638 | tf.metrics.Recall Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.Recall
tf.keras.metrics.Recall(
thresholds=None, top_k=None, class_id=None, name=None, dtype=None
)
This metric creates two local variables, true_positives and false_negatives, that are used to compute... | |
doc_12639 | Default widget: SplitDateTimeWidget
Empty value: None
Normalizes to: A Python datetime.datetime object. Validates that the given value is a datetime.datetime or string formatted in a particular datetime format. Error message keys: required, invalid, invalid_date, invalid_time
Takes two optional arguments:
input_... | |
doc_12640 | A tuple of three values that provides information about the unhandled exception, if any, that occurred during the view. The values are (type, value, traceback), the same as returned by Python’s sys.exc_info(). Their meanings are:
type: The type of the exception.
value: The exception instance.
traceback: A traceback... | |
doc_12641 | tf.sparse.segment_sqrt_n(
data, indices, segment_ids, num_segments=None, name=None
)
Read the section on segmentation for an explanation of segments. Like tf.sparse.segment_mean, but instead of dividing by the size of the segment, N, divide by sqrt(N) instead.
Args
data A Tensor with data that will be ass... | |
doc_12642 |
Return the anchor. | |
doc_12643 | See Migration guide for more details. tf.compat.v1.raw_ops.StatelessSampleDistortedBoundingBox
tf.raw_ops.StatelessSampleDistortedBoundingBox(
image_size, bounding_boxes, min_object_covered, seed, aspect_ratio_range=[0.75,
1.33], area_range=[0.05, 1], max_attempts=100,
use_image_if_no_bounding_boxes=False... | |
doc_12644 | Generic implementation of the unittest load_tests protocol for use in test packages. pkg_dir is the root directory of the package; loader, standard_tests, and pattern are the arguments expected by load_tests. In simple cases, the test package’s __init__.py can be the following: import os
from test.support import load_p... | |
doc_12645 |
Check that all arrays have consistent first dimensions. Checks whether all objects in arrays have the same shape or length. Parameters
*arrayslist or tuple of input objects.
Objects that will be checked for consistent length. | |
doc_12646 | Does a rollover, as described above. | |
doc_12647 | Call open() with method set to TRACE. Parameters
args (Any) –
kw (Any) – Return type
werkzeug.test.TestResponse | |
doc_12648 | QName wrapper. This can be used to wrap a QName attribute value, in order to get proper namespace handling on output. text_or_uri is a string containing the QName value, in the form {uri}local, or, if the tag argument is given, the URI part of a QName. If tag is given, the first argument is interpreted as a URI, and th... | |
doc_12649 |
Return a list of the child Artists of this Artist. | |
doc_12650 | tf.experimental.numpy.bool_(
*args, **kwargs
)
Character code: '?'. Alias: np.bool8. Methods all
all()
Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API. See als... | |
doc_12651 | tf.batch_to_space(
input, block_shape, crops, name=None
)
This operation reshapes the "batch" dimension 0 into M + 1 dimensions of shape block_shape + [batch], interleaves these blocks back into the grid defined by the spatial dimensions [1, ..., M], to obtain a result with the same rank as the input. The spatial ... | |
doc_12652 | See Migration guide for more details. tf.compat.v1.io.write_file, tf.compat.v1.write_file
tf.io.write_file(
filename, contents, name=None
)
creates directory if not existing.
Args
filename A Tensor of type string. scalar. The name of the file to which we write the contents.
contents A Tensor of ty... | |
doc_12653 | Returns a GEOS PreparedGeometry for the contents of this geometry. PreparedGeometry objects are optimized for the contains, intersects, covers, crosses, disjoint, overlaps, touches and within operations. Refer to the Prepared Geometries documentation for more information. | |
doc_12654 | Unset the flag(s) specified by flag without changing other flags. To remove more than one flag at a time, flag maybe a string of more than one character. If “info” contains experimental information rather than flags, the current “info” is not modified. | |
doc_12655 |
To initialize an area object, pass in a keyword corresponding to the desired unit attribute name set with desired value. For example, the following creates an area object representing 5 square miles: >>> a = Area(sq_mi=5)
__getattr__(unit_att)
Returns the area value in units corresponding to the given unit attri... | |
doc_12656 | class sklearn.exceptions.ConvergenceWarning [source]
Custom warning to capture convergence problems Changed in version 0.18: Moved from sklearn.utils. Attributes
args
Methods
with_traceback Exception.with_traceback(tb) – set self.__traceback__ to tb and return self.
with_traceback()
Exception.with_tra... | |
doc_12657 | Return atan(y / x), in radians. The result is between -pi and pi. The vector in the plane from the origin to point (x, y) makes this angle with the positive X axis. The point of atan2() is that the signs of both inputs are known to it, so it can compute the correct quadrant for the angle. For example, atan(1) and atan2... | |
doc_12658 | See Migration guide for more details. tf.compat.v1.raw_ops.OptionalHasValue
tf.raw_ops.OptionalHasValue(
optional, name=None
)
Args
optional A Tensor of type variant.
name A name for the operation (optional).
Returns A Tensor of type bool. | |
doc_12659 | A processing class used to execute and verify the interactive examples in a DocTest. The comparison between expected outputs and actual outputs is done by an OutputChecker. This comparison may be customized with a number of option flags; see section Option Flags for more information. If the option flags are insufficien... | |
doc_12660 | class sklearn.model_selection.StratifiedKFold(n_splits=5, *, shuffle=False, random_state=None) [source]
Stratified K-Folds cross-validator. Provides train/test indices to split data in train/test sets. This cross-validation object is a variation of KFold that returns stratified folds. The folds are made by preserving... | |
doc_12661 | At this point, you can remove the application name from the registry as a source of event log entries. However, if you do this, you will not be able to see the events as you intended in the Event Log Viewer - it needs to be able to access the registry to get the .dll name. The current version does not do this. | |
doc_12662 | Filter specific data. | |
doc_12663 |
Add one or more events at the specified positions. | |
doc_12664 |
Perform an indirect partition along the given axis using the algorithm specified by the kind keyword. It returns an array of indices of the same shape as a that index data along the given axis in partitioned order. New in version 1.8.0. Parameters
aarray_like
Array to sort.
kthint or sequence of ints
Elem... | |
doc_12665 |
Check if the object is a regex pattern instance. Parameters
obj:The object to check
Returns
is_regex:bool
Whether obj is a regex pattern. Examples
>>> is_re(re.compile(".*"))
True
>>> is_re("foo")
False | |
doc_12666 | The name of the variable. This is a read-only property. New in version 3.7.1. | |
doc_12667 | See torch.argmax() | |
doc_12668 |
Bases: matplotlib.patches.ConnectionStyle._Base Creates a piecewise continuous quadratic Bezier path between two points. The path has a one passing-through point placed at the intersecting point of two lines which cross the start and end point, and have a slope of angleA and angleB, respectively. The connecting edges... | |
doc_12669 | Invert all the digits in x. | |
doc_12670 |
Thresholds each element of the input Tensor. Threshold is defined as: y={x, if x>thresholdvalue, otherwise y = \begin{cases} x, &\text{ if } x > \text{threshold} \\ \text{value}, &\text{ otherwise } \end{cases}
Parameters
threshold – The value to threshold at
value – The value to replace with
inplace – can o... | |
doc_12671 |
Create an array from binary file data Parameters
fdstr or file type
If file is a string or a path-like object then that file is opened, else it is assumed to be a file object. The file object must support random access (i.e. it must have tell and seek methods).
dtypedata-type, optional
valid dtype for all a... | |
doc_12672 |
Set the Figure instance the artist belongs to. Parameters
figFigure | |
doc_12673 |
Bases: object axis=None
create_dummy_axis(**kwargs)[source]
set_axis(axis)[source]
set_bounds(vmin, vmax)[source]
[Deprecated] Notes Deprecated since version 3.5:
set_data_interval(vmin, vmax)[source]
[Deprecated] Notes Deprecated since version 3.5:
set_view_interval(vmin, vmax)[source... | |
doc_12674 |
If vmin or vmax are not set, use the min/max of A to set them. | |
doc_12675 | """
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_12676 |
Computes the log-likelihood of a Gaussian data set with self.covariance_ as an estimator of its covariance matrix. Parameters
X_testarray-like of shape (n_samples, n_features)
Test data of which we compute the likelihood, where n_samples is the number of samples and n_features is the number of features. X_test ... | |
doc_12677 | Returns the list of directories that will be searched for a named executable, similar to a shell, when launching a process. env, when specified, should be an environment variable dictionary to lookup the PATH in. By default, when env is None, environ is used. New in version 3.2. | |
doc_12678 | tf.experimental.numpy.minimum(
x1, x2
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.minimum. | |
doc_12679 | Returns an iterator over module buffers. Parameters
recurse (bool) – if True, then yields buffers of this module and all submodules. Otherwise, yields only buffers that are direct members of this module. Yields
torch.Tensor – module buffer Example: >>> for buf in model.buffers():
>>> print(type(buf), buf.size... | |
doc_12680 | Token value used to indicate a comment. | |
doc_12681 | See Migration guide for more details. tf.compat.v1.raw_ops.SparseApplyFtrlV2
tf.raw_ops.SparseApplyFtrlV2(
var, accum, linear, grad, indices, lr, l1, l2, l2_shrinkage, lr_power,
use_locking=False, multiply_linear_by_lr=False, name=None
)
That is for rows we have grad for, we update var, accum and linear as f... | |
doc_12682 |
Return the Timestamp representation of the Period. Uses the target frequency specified at the part of the period specified by how, which is either Start or Finish. Parameters
freq:str or DateOffset
Target frequency. Default is ‘D’ if self.freq is week or longer and ‘S’ otherwise.
how:str, default ‘S’ (start)
... | |
doc_12683 |
Bases: object The canvas the figure renders into. Attributes
figurematplotlib.figure.Figure
A high-level figure instance. blit(bbox=None)[source]
Blit the canvas in bbox (default entire canvas).
propertybutton_pick_id
button_press_event(x, y, button, dblclick=False, guiEvent=None)[source]
Call... | |
doc_12684 | Return the welcome message sent by the server in reply to the initial connection. (This message sometimes contains disclaimers or help information that may be relevant to the user.) | |
doc_12685 |
Gaussian process classification (GPC) based on Laplace approximation. The implementation is based on Algorithm 3.1, 3.2, and 5.1 of Gaussian Processes for Machine Learning (GPML) by Rasmussen and Williams. Internally, the Laplace approximation is used for approximating the non-Gaussian posterior by a Gaussian. Curren... | |
doc_12686 |
Bases: matplotlib.patheffects.AbstractPathEffect A simple shadow via a line. Parameters
offset(float, float), default: (2, -2)
The (x, y) offset to apply to the path, in points.
shadow_colorcolor, default: 'black'
The shadow color. A value of None takes the original artist's color with a scale factor of rho... | |
doc_12687 |
Force rasterized (bitmap) drawing for vector graphics output. Rasterized drawing is not supported by all artists. If you try to enable this on an artist that does not support it, the command has no effect and a warning will be issued. This setting is ignored for pixel-based output. See also Rasterization for vector g... | |
doc_12688 |
Set both the edgecolor and the facecolor. Parameters
ccolor or list of rgba tuples
See also
Collection.set_facecolor, Collection.set_edgecolor
For setting the edge or face color individually. | |
doc_12689 | unicodedata.lookup(name)
Look up character by name. If a character with the given name is found, return the corresponding character. If not found, KeyError is raised. Changed in version 3.3: Support for name aliases 1 and named sequences 2 has been added.
unicodedata.name(chr[, default])
Returns the name assi... | |
doc_12690 | See Migration guide for more details. tf.compat.v1.image.rgb_to_yuv
tf.image.rgb_to_yuv(
images
)
Outputs a tensor of the same shape as the images tensor, containing the YUV value of the pixels. The output is only well defined if the value in images are in [0, 1]. There are two ways of representing an image: [0,... | |
doc_12691 |
Load an ORC object from the file path, returning a DataFrame. New in version 1.0.0. Parameters
path:str, path object, or file-like object
String, path object (implementing os.PathLike[str]), or file-like object implementing a binary read() function. The string could be a URL. Valid URL schemes include http, f... | |
doc_12692 | class difflib.SequenceMatcher
This is a flexible class for comparing pairs of sequences of any type, so long as the sequence elements are hashable. The basic algorithm predates, and is a little fancier than, an algorithm published in the late 1980’s by Ratcliff and Obershelp under the hyperbolic name “gestalt pattern... | |
doc_12693 | Return the day of the week as an integer, where Monday is 1 and Sunday is 7. The same as self.date().isoweekday(). See also weekday(), isocalendar(). | |
doc_12694 |
Adjust the direction of the axislabel. Note that the label_directions '+' and '-' are relative to the direction of the increasing coordinate. Parameters
label_direction{"+", "-"} | |
doc_12695 |
Check elementwise if the Intervals contain the value. Return a boolean mask whether the value is contained in the Intervals of the IntervalArray. New in version 0.25.0. Parameters
other:scalar
The value to check whether it is contained in the Intervals. Returns
boolean array
See also Interval.contai... | |
doc_12696 | class ast.Or
Boolean operator tokens. | |
doc_12697 |
Set a title for the Axes. Set one of the three available Axes titles. The available titles are positioned above the Axes in the center, flush with the left edge, and flush with the right edge. Parameters
labelstr
Text to use for the title
fontdictdict
A dictionary controlling the appearance of the title tex... | |
doc_12698 |
Randomized search on hyper parameters. RandomizedSearchCV implements a “fit” and a “score” method. It also implements “score_samples”, “predict”, “predict_proba”, “decision_function”, “transform” and “inverse_transform” if they are implemented in the estimator used. The parameters of the estimator used to apply these... | |
doc_12699 |
A tuple with the length of each level. Examples
>>> mi = pd.MultiIndex.from_arrays([['a'], ['b'], ['c']])
>>> mi
MultiIndex([('a', 'b', 'c')],
)
>>> mi.levshape
(1, 1, 1) |
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