_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_14000 | If this attribute is set to True, a PermissionDenied exception is raised when the conditions are not met. When False (the default), anonymous users are redirected to the login page. | |
doc_14001 |
Process an button-1 event (add a label to a contour). Parameters
eventMouseEvent | |
doc_14002 |
Create and return a linear Spine. | |
doc_14003 | Sent when the logout method is called.
sender As above: the class of the user that just logged out or None if the user was not authenticated.
request The current HttpRequest instance.
user The user instance that just logged out or None if the user was not authenticated. | |
doc_14004 |
Set the facecolor(s) of the collection. c can be a color (all patches have same color), or a sequence of colors; if it is a sequence the patches will cycle through the sequence. If c is 'none', the patch will not be filled. Parameters
ccolor or list of colors | |
doc_14005 | sklearn.metrics.pairwise.polynomial_kernel(X, Y=None, degree=3, gamma=None, coef0=1) [source]
Compute the polynomial kernel between X and Y: K(X, Y) = (gamma <X, Y> + coef0)^degree
Read more in the User Guide. Parameters
Xndarray of shape (n_samples_X, n_features)
Yndarray of shape (n_samples_Y, n_features), d... | |
doc_14006 |
Process an button-3 event (remove a label if not in inline mode). Unfortunately, if one is doing inline labels, then there is currently no way to fix the broken contour - once humpty-dumpty is broken, he can't be put back together. In inline mode, this does nothing. Parameters
eventMouseEvent | |
doc_14007 |
Set the linestyle(s) for the collection.
linestyle description
'-' or 'solid' solid line
'--' or 'dashed' dashed line
'-.' or 'dashdot' dash-dotted line
':' or 'dotted' dotted line Alternatively a dash tuple of the following form can be provided: (offset, onoffseq),
where onoffseq is an even length tup... | |
doc_14008 | See torch.std() | |
doc_14009 | Enter post-mortem debugging of the given traceback object. If no traceback is given, it uses the one of the exception that is currently being handled (an exception must be being handled if the default is to be used). | |
doc_14010 |
Return the product of the values over the requested axis. Parameters
axis:{index (0)}
Axis for the function to be applied on.
skipna:bool, default True
Exclude NA/null values when computing the result.
level:int or level name, default None
If the axis is a MultiIndex (hierarchical), count along a partic... | |
doc_14011 | Raise a NotImplementedError exception. Override this in subclasses to do something useful with this message. Whatever was passed in the constructor as remoteaddr will be available as the _remoteaddr attribute. peer is the remote host’s address, mailfrom is the envelope originator, rcpttos are the envelope recipients an... | |
doc_14012 | See Migration guide for more details. tf.compat.v1.app.flags.mark_flags_as_required
tf.compat.v1.flags.mark_flags_as_required(
flag_names, flag_values=_flagvalues.FLAGS
)
If your module might be imported by others, and you only wish to make the flag required when the module is directly executed, call this method... | |
doc_14013 |
Draw the text instance. Parameters
gcGraphicsContextBase
The graphics context.
xfloat
The x location of the text in display coords.
yfloat
The y location of the text baseline in display coords.
sstr
The text string.
propmatplotlib.font_manager.FontProperties
The font properties.
anglefloat
T... | |
doc_14014 |
Bases: matplotlib.patheffects.SimplePatchShadow A shortcut PathEffect for applying SimplePatchShadow and then drawing the original Artist. With this class you can use artist.set_path_effects([path_effects.withSimplePatchShadow()])
as a shortcut for artist.set_path_effects([path_effects.SimplePatchShadow(),
... | |
doc_14015 |
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_14016 | Exception raised when a failure occurs within the parser module. This is generally produced for validation failures rather than the built-in SyntaxError raised during normal parsing. The exception argument is either a string describing the reason of the failure or a tuple containing a sequence causing the failure from ... | |
doc_14017 |
A wrapper class that wraps the input module, adds QuantStub and DeQuantStub and surround the call to module with call to quant and dequant modules. This is used by the quantization utility functions to add the quant and dequant modules, before convert function QuantStub will just be observer, it observes the input te... | |
doc_14018 |
Compute the natural logarithm of x. Return the “principal value” (for a description of this, see numpy.log) of \(log_e(x)\). For real x > 0, this is a real number (log(0) returns -inf and log(np.inf) returns inf). Otherwise, the complex principle value is returned. Parameters
xarray_like
The value(s) whose log ... | |
doc_14019 |
Fit the Oracle Approximating Shrinkage covariance model according to the given training data and parameters. Parameters
Xarray-like of shape (n_samples, n_features)
Training data, where n_samples is the number of samples and n_features is the number of features.
yIgnored
Not used, present for API consistenc... | |
doc_14020 |
Plot the coherence between x and y. Plot the coherence between x and y. Coherence is the normalized cross spectral density: \[C_{xy} = \frac{|P_{xy}|^2}{P_{xx}P_{yy}}\] Parameters
Fsfloat, default: 2
The sampling frequency (samples per time unit). It is used to calculate the Fourier frequencies, freqs, in cycl... | |
doc_14021 |
Base class for all neural network modules. Your models should also subclass this class. Modules can also contain other Modules, allowing to nest them in a tree structure. You can assign the submodules as regular attributes: import torch.nn as nn
import torch.nn.functional as F
class Model(nn.Module):
def __init_... | |
doc_14022 | See Migration guide for more details. tf.compat.v1.raw_ops.Case
tf.raw_ops.Case(
branch_index, input, Tout, branches, output_shapes=[], name=None
)
An n-way switch statement, implementing the following:
```
switch (branch_index) {
case 0:
output = branches[0](input);
break;
case 1:
output = bran... | |
doc_14023 | tf.debugging.assert_less_equal(
x, y, message=None, summarize=None, name=None
)
This Op checks that x[i] <= y[i] holds for every pair of (possibly broadcast) elements of x and y. If both x and y are empty, this is trivially satisfied. If x is not less or equal than y element-wise, message, as well as the first sum... | |
doc_14024 |
Call self as a function. | |
doc_14025 |
Gathers tensors from the whole group in a list. Each tensor in tensor_list should reside on a separate GPU Only nccl backend is currently supported tensors should only be GPU tensors Complex tensors are supported. Parameters
output_tensor_lists (List[List[Tensor]]) –
Output lists. It should contain correctly-siz... | |
doc_14026 |
Set the current Axes to ax and the current Figure to the parent of ax. | |
doc_14027 | See Migration guide for more details. tf.compat.v1.raw_ops.TPUReplicatedOutput
tf.raw_ops.TPUReplicatedOutput(
input, num_replicas, name=None
)
This operation holds a replicated output from a tpu.replicate() computation subgraph. Each replicated output has the same shape and type alongside the input. For example... | |
doc_14028 | Token value for "|". | |
doc_14029 |
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_14030 | hide or show the mouse cursor set_visible(bool) -> bool If the bool argument is true, the mouse cursor will be visible. This will return the previous visible state of the cursor. | |
doc_14031 |
Return whether arbitrary affine transformations in draw_image() are supported (True for most vector backends). | |
doc_14032 | True if two tensors have the same size and elements, False otherwise. Example: >>> torch.equal(torch.tensor([1, 2]), torch.tensor([1, 2]))
True | |
doc_14033 |
Roll provided date forward to next offset only if not on offset. Returns
TimeStamp
Rolled timestamp if not on offset, otherwise unchanged timestamp. | |
doc_14034 | The name is parsed as everything up to the ‘:’ and returned unmodified. The value is determined by stripping leading whitespace off the remainder of the first line, joining all subsequent lines together, and stripping any trailing carriage return or linefeed characters. | |
doc_14035 | Pop and return the smallest item from the heap, and also push the new item. The heap size doesn’t change. If the heap is empty, IndexError is raised. This one step operation is more efficient than a heappop() followed by heappush() and can be more appropriate when using a fixed-size heap. The pop/push combination alway... | |
doc_14036 |
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_14037 |
Return the array of values, that are mapped to colors. The base class ScalarMappable does not make any assumptions on the dimensionality and shape of the array. | |
doc_14038 |
Array of integer (optional missing) values. Changed in version 1.0.0: Now uses pandas.NA as the missing value rather than numpy.nan. Warning IntegerArray is currently experimental, and its API or internal implementation may change without warning. We represent an IntegerArray with 2 numpy arrays: data: contains ... | |
doc_14039 | make_null_session() will look here for the class that should be created when a null session is requested. Likewise the is_null_session() method will perform a typecheck against this type. alias of flask.sessions.NullSession | |
doc_14040 |
Set if artist is to be included in layout calculations, E.g. Constrained Layout Guide, Figure.tight_layout(), and fig.savefig(fname, bbox_inches='tight'). Parameters
in_layoutbool | |
doc_14041 | Simple path-like object. It implements the __fspath__() method which just returns the path argument. If path is an exception, it will be raised in __fspath__(). | |
doc_14042 | Gets the options maintained by the Tix scheme mechanism. | |
doc_14043 | tf.keras.losses.mae, tf.keras.losses.mean_absolute_error, tf.keras.metrics.MAE, tf.keras.metrics.mae, tf.keras.metrics.mean_absolute_error, tf.losses.MAE, tf.losses.mae, tf.losses.mean_absolute_error, tf.metrics.MAE, tf.metrics.mae, tf.metrics.mean_absolute_error Compat aliases for migration See Migration guide for mor... | |
doc_14044 | tf.experimental.numpy.arange(
start, stop=None, step=1, dtype=None
)
Returns step-separated values in the range [start, stop). Args: start: Start of the interval. Included in the range. stop: End of the interval. If not specified, start is treated as 0 and start value is used as stop. If specified, it is not inclu... | |
doc_14045 | tf.metrics.categorical_accuracy Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.categorical_accuracy
tf.keras.metrics.categorical_accuracy(
y_true, y_pred
)
Standalone usage:
y_true = [[0, 0, 1], [0, 1, 0]]
y_pred = [[0.1, 0.9, 0.8], [0.05, 0.95, 0]]
m = tf.keras.me... | |
doc_14046 | Can be overridden in order to modify the response object before it’s sent to the WSGI server. By default this will call all the after_request() decorated functions. Changelog Changed in version 0.5: As of Flask 0.5 the functions registered for after request execution are called in reverse order of registration. Para... | |
doc_14047 |
Set the artist's visibility. Parameters
bbool | |
doc_14048 | See Migration guide for more details. tf.compat.v1.app.flags.DEFINE
tf.compat.v1.flags.DEFINE(
parser, name, default, help, flag_values=_flagvalues.FLAGS, serializer=None,
module_name=None, **args
)
Note: in the docstrings of all DEFINE* functions, "registers" is short for "creates a new flag and registers ... | |
doc_14049 |
Pad strings in the Series/Index by prepending ‘0’ characters. Strings in the Series/Index are padded with ‘0’ characters on the left of the string to reach a total string length width. Strings in the Series/Index with length greater or equal to width are unchanged. Parameters
width:int
Minimum length of resulti... | |
doc_14050 | Set the key audio sampling parameters—sample format, number of channels, and sampling rate—in one method call. format, nchannels, and samplerate should be as specified in the setfmt(), channels(), and speed() methods. If strict is true, setparameters() checks to see if each parameter was actually set to the requested v... | |
doc_14051 |
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_14052 |
Return whether constrained layout is being used. See Constrained Layout Guide. | |
doc_14053 | The maximum depth for recursive interpolation for get() when the raw parameter is false. This is relevant only when the default interpolation is used. | |
doc_14054 | A timedelta or number of seconds which is used as the default max_age for send_file(). The default is None, which tells the browser to use conditional requests instead of a timed cache. Configured with the SEND_FILE_MAX_AGE_DEFAULT configuration key. Changed in version 2.0: Defaults to None instead of 12 hours. | |
doc_14055 | The same as RawArray() except that depending on the value of lock a process-safe synchronization wrapper may be returned instead of a raw ctypes array. If lock is True (the default) then a new lock object is created to synchronize access to the value. If lock is a Lock or RLock object then that will be used to synchron... | |
doc_14056 |
template_name: 'django/forms/widgets/select.html'
option_template_name: 'django/forms/widgets/select_option.html'
Similar to Select, but allows multiple selection: <select multiple>...</select> | |
doc_14057 | An entity reference referred to an entity which was declared with a notation, so cannot be parsed. | |
doc_14058 |
Adjust the text angle and text alignment of ticklabels according to the matplotlib convention. The label_direction must be one of [left, right, bottom, top].
property left bottom right top
ticklabels angle 90 0 -90 180
ticklabel va center baseline center baseline
ticklabel ha right center right center Not... | |
doc_14059 | Send a QUIT command to the server and close the connection. This is the “polite” way to close a connection, but it may raise an exception if the server responds with an error to the QUIT command. This implies a call to the close() method which renders the FTP instance useless for subsequent calls (see below). | |
doc_14060 |
An ExtensionDtype for int64 integer data. Changed in version 1.0.0: Now uses pandas.NA as its missing value, rather than numpy.nan. Attributes
None Methods
None | |
doc_14061 |
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_14062 |
Read an Excel file into a pandas DataFrame. Supports xls, xlsx, xlsm, xlsb, odf, ods and odt file extensions read from a local filesystem or URL. Supports an option to read a single sheet or a list of sheets. Parameters
io:str, bytes, ExcelFile, xlrd.Book, path object, or file-like object
Any valid string path ... | |
doc_14063 |
Sums tensors from multiple GPUs. All inputs should have matching shapes, dtype, and layout. The output tensor will be of the same shape, dtype, and layout. Parameters
inputs (Iterable[Tensor]) – an iterable of tensors to add.
destination (int, optional) – a device on which the output will be placed (default: cur... | |
doc_14064 |
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_14065 |
Bases: object Manage the callbacks to maintain a list of selected vertices for Line2D. Derived classes should override the process_selected method to do something with the picks. Here is an example which highlights the selected verts with red circles: import numpy as np
import matplotlib.pyplot as plt
import matplotl... | |
doc_14066 |
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_14067 |
Set the locators and formatters of axis to instances suitable for this scale. | |
doc_14068 |
Return a tuple containing the number of rows and columns in the grid. | |
doc_14069 | A wsgi.file_wrapper factory, or None. The default value of this attribute is the wsgiref.util.FileWrapper class. | |
doc_14070 | A subclass of Mailbox for mailboxes in Babyl format. Parameter factory is a callable object that accepts a file-like message representation (which behaves as if opened in binary mode) and returns a custom representation. If factory is None, BabylMessage is used as the default message representation. If create is True, ... | |
doc_14071 | A list of prefixes for site-packages directories. | |
doc_14072 |
Dict {group name -> group indices}. | |
doc_14073 | Creates a one-dimensional tensor of size steps whose values are evenly spaced from basestart{{\text{{base}}}}^{{\text{{start}}}} to baseend{{\text{{base}}}}^{{\text{{end}}}} , inclusive, on a logarithmic scale with base base. That is, the values are: (basestart,base(start+end−startsteps−1),…,base(start+(steps−2)∗end−... | |
doc_14074 | A dictionary to include in the context. This is a convenient way of specifying some context in as_view(). Example usage: from django.views.generic import TemplateView
TemplateView.as_view(extra_context={'title': 'Custom Title'}) | |
doc_14075 | Alternate constructor for chain(). Gets chained inputs from a single iterable argument that is evaluated lazily. Roughly equivalent to: def from_iterable(iterables):
# chain.from_iterable(['ABC', 'DEF']) --> A B C D E F
for it in iterables:
for element in it:
yield element | |
doc_14076 |
Alias for get_facecolor. | |
doc_14077 | 'blogs.blog': lambda o: "/blogs/%s/" % o.slug,
'news.story': lambda o: "/stories/%s/%s/" % (o.pub_year, o.slug),
}
The model name used in this setting should be all lowercase, regardless of the case of the actual model class name. ADMINS Default: [] (Empty list) A list of all the people who get code error noti... | |
doc_14078 | Returns the standard-deviation and mean of all elements in the input tensor. If unbiased is False, then the standard-deviation will be calculated via the biased estimator. Otherwise, Bessel’s correction will be used. Parameters
input (Tensor) – the input tensor.
unbiased (bool) – whether to use the unbiased estima... | |
doc_14079 | A dotted path to the authentication backend to use when authenticating a user if post_reset_login is True. Required only if you have multiple AUTHENTICATION_BACKENDS configured. Defaults to None. | |
doc_14080 | Remove and return an item from the queue. If queue is empty, wait until an item is available. | |
doc_14081 | New in Django 4.0. The name of the template used when calling __str__ or render(). By default this is 'django/forms/errors/list/default.html' which is a proxy for the 'ul.html' template. | |
doc_14082 |
Generate ellipse perimeter coordinates. Parameters
r, cint
Centre coordinate of ellipse.
r_radius, c_radiusint
Minor and major semi-axes. (r/r_radius)**2 + (c/c_radius)**2 = 1.
orientationdouble, optional
Major axis orientation in clockwise direction as radians.
shapetuple, optional
Image shape whic... | |
doc_14083 |
Bases: matplotlib.offsetbox.OffsetBox The TextArea is a container artist for a single Text instance. The text is placed at (0, 0) with baseline+left alignment, by default. The width and height of the TextArea instance is the width and height of its child text. Parameters
sstr
The text to be displayed.
textpro... | |
doc_14084 |
K-Folds cross-validator Provides train/test indices to split data in train/test sets. Split dataset into k consecutive folds (without shuffling by default). Each fold is then used once as a validation while the k - 1 remaining folds form the training set. Read more in the User Guide. Parameters
n_splitsint, defau... | |
doc_14085 |
Plot lines and/or markers with errorbars around them. x/y/z define the data locations, and xerr/yerr/zerr define the errorbar sizes. By default, this draws the data markers/lines as well the errorbars. Use fmt='none' to draw errorbars only. Parameters
x, y, zfloat or array-like
The data positions.
xerr, yerr,... | |
doc_14086 |
Generate coordinates of pixels that are exactly around a rectangle. Parameters
starttuple
Origin point of the inner rectangle, e.g., (row, column).
endtuple
End point of the inner rectangle (row, column). For a 2D matrix, the slice defined by inner the rectangle is [start:(end+1)]. Either end or extent must... | |
doc_14087 |
Bases: torch.distributions.exp_family.ExponentialFamily Creates a Poisson distribution parameterized by rate, the rate parameter. Samples are nonnegative integers, with a pmf given by rateke−ratek!\mathrm{rate}^k \frac{e^{-\mathrm{rate}}}{k!}
Example: >>> m = Poisson(torch.tensor([4]))
>>> m.sample()
tensor([ 3.])... | |
doc_14088 |
Normalize, rescale, and colormap this image's data for rendering using renderer, with the given magnification. If unsampled is True, the image will not be scaled, but an appropriate affine transformation will be returned instead. Returns
image(M, N, 4) uint8 array
The RGBA image, resampled unless unsampled is T... | |
doc_14089 | numpy.float128[source]
Alias for numpy.longdouble, named after its size in bits. The existence of these aliases depends on the platform. | |
doc_14090 | Return a message object structure from a string. This is equivalent to Parser().parsestr(s). _class and policy are interpreted as with the Parser class constructor. Changed in version 3.3: Removed the strict argument. Added the policy keyword. | |
doc_14091 | See Migration guide for more details. tf.compat.v1.train.FeatureLists.FeatureListEntry
Attributes
key string key
value FeatureList value | |
doc_14092 |
Registers a communication hook which is an enhancement that provides a flexible hook to users where they can specify how DDP aggregates gradients across multiple workers. This hook would be very useful for researchers to try out new ideas. For example, this hook can be used to implement several algorithms like Gossip... | |
doc_14093 | Return a formatted multi-line string with detailed code object information for the supplied function, generator, asynchronous generator, coroutine, method, source code string or code object. Note that the exact contents of code info strings are highly implementation dependent and they may change arbitrarily across Pyth... | |
doc_14094 | A collection of doctest examples that should be run in a single namespace. The constructor arguments are used to initialize the attributes of the same names. DocTest defines the following attributes. They are initialized by the constructor, and should not be modified directly.
examples
A list of Example objects enc... | |
doc_14095 | This is a class for comparing sequences of lines of text, and producing human-readable differences or deltas. Differ uses SequenceMatcher both to compare sequences of lines, and to compare sequences of characters within similar (near-matching) lines. Each line of a Differ delta begins with a two-letter code:
Code Me... | |
doc_14096 | The SharedMemory instance where the values are stored. | |
doc_14097 |
Return the markevery setting for marker subsampling. See also set_markevery. | |
doc_14098 | tf.compat.v1.train.shuffle_batch_join(
tensors_list, batch_size, capacity, min_after_dequeue, seed=None,
enqueue_many=False, shapes=None, allow_smaller_final_batch=False,
shared_name=None, name=None
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Q... | |
doc_14099 | class sklearn.gaussian_process.kernels.CompoundKernel(kernels) [source]
Kernel which is composed of a set of other kernels. New in version 0.18. Parameters
kernelslist of Kernels
The other kernels Attributes
bounds
Returns the log-transformed bounds on the theta.
hyperparameters
Returns a list of ... |
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