_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_8200 | Sets the callable application as the WSGI application that will receive requests. | |
doc_8201 | sklearn.inspection.plot_partial_dependence(estimator, X, features, *, feature_names=None, target=None, response_method='auto', n_cols=3, grid_resolution=100, percentiles=0.05, 0.95, method='auto', n_jobs=None, verbose=0, line_kw=None, contour_kw=None, ax=None, kind='average', subsample=1000, random_state=None) [source]... | |
doc_8202 | Writes the element tree to a file, as XML. file is a file name, or a file object opened for writing. encoding 1 is the output encoding (default is US-ASCII). xml_declaration controls if an XML declaration should be added to the file. Use False for never, True for always, None for only if not US-ASCII or UTF-8 or Unicod... | |
doc_8203 |
Moves all model parameters and buffers to the CPU. Returns
self Return type
Module | |
doc_8204 | tf.compat.v1.gfile.Exists(
filename
)
Args
filename string, a path
Returns True if the path exists, whether it's a file or a directory. False if the path does not exist and there are no filesystem errors.
Raises
errors.OpError Propagates any errors reported by the FileSystem API. | |
doc_8205 |
Functions that operate element by element on whole arrays. To see the documentation for a specific ufunc, use info. For example, np.info(np.sin). Because ufuncs are written in C (for speed) and linked into Python with NumPy’s ufunc facility, Python’s help() function finds this page whenever help() is called on a ufun... | |
doc_8206 | Remove and return an item from the queue. | |
doc_8207 |
Transform the points by the projection matrix | |
doc_8208 |
Block view of the input n-dimensional array (using re-striding). Blocks are non-overlapping views of the input array. Parameters
arr_inndarray
N-d input array.
block_shapetuple
The shape of the block. Each dimension must divide evenly into the corresponding dimensions of arr_in. Returns
arr_outndarray... | |
doc_8209 |
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_8210 |
Initialize self. See help(type(self)) for accurate signature. | |
doc_8211 | Return a string representing the “From ” line that marks the start of the message in an mbox mailbox. The leading “From ” and the trailing newline are excluded. | |
doc_8212 | tf.nn.RNNCellDropoutWrapper(
*args, **kwargs
)
Args
cell an RNNCell, a projection to output_size is added to it.
input_keep_prob unit Tensor or float between 0 and 1, input keep probability; if it is constant and 1, no input dropout will be added.
output_keep_prob unit Tensor or float between ... | |
doc_8213 | Default widget: TextInput
Empty value: None
Normalizes to: A Python timedelta. Validates that the given value is a string which can be converted into a timedelta. The value must be between datetime.timedelta.min and datetime.timedelta.max. Error message keys: required, invalid, overflow. Accepts any format understo... | |
doc_8214 | Registers a backward hook on the module. This function is deprecated in favor of nn.Module.register_full_backward_hook() and the behavior of this function will change in future versions. Returns
a handle that can be used to remove the added hook by calling handle.remove() Return type
torch.utils.hooks.RemovableHand... | |
doc_8215 |
Call this whenever the mappable is changed to notify all the callbackSM listeners to the 'changed' signal. | |
doc_8216 | The appropriate version number: 4 for IPv4, 6 for IPv6. | |
doc_8217 | operator.__floordiv__(a, b)
Return a // b. | |
doc_8218 | sys.abiflags
On POSIX systems where Python was built with the standard configure script, this contains the ABI flags as specified by PEP 3149. Changed in version 3.8: Default flags became an empty string (m flag for pymalloc has been removed). New in version 3.2.
sys.addaudithook(hook)
Append the callable h... | |
doc_8219 |
Perform ceil operation on the data to the specified freq. Parameters
freq:str or Offset
The frequency level to ceil the index to. Must be a fixed frequency like ‘S’ (second) not ‘ME’ (month end). See frequency aliases for a list of possible freq values.
ambiguous:‘infer’, bool-ndarray, ‘NaT’, default ‘raise’
... | |
doc_8220 |
Return the first n rows. This function returns the first n rows for the object based on position. It is useful for quickly testing if your object has the right type of data in it. For negative values of n, this function returns all rows except the last n rows, equivalent to df[:-n]. Parameters
n:int, default 5
... | |
doc_8221 |
Alias for set_linewidth. | |
doc_8222 | Get the default value for a namespace attribute, as set by either add_argument() or by set_defaults(): >>> parser = argparse.ArgumentParser()
>>> parser.add_argument('--foo', default='badger')
>>> parser.get_default('foo')
'badger' | |
doc_8223 |
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_8224 | See Migration guide for more details. tf.compat.v1.raw_ops.SparseDenseCwiseMul
tf.raw_ops.SparseDenseCwiseMul(
sp_indices, sp_values, sp_shape, dense, name=None
)
The output locations corresponding to the implicitly zero elements in the sparse tensor will be zero (i.e., will not take up storage space), regardles... | |
doc_8225 |
Like find, but raises ValueError when the substring is not found. Calls str.index element-wise. Parameters
aarray_like of str or unicode
substr or unicode
start, endint, optional
Returns
outndarray
Output array of ints. Returns -1 if sub is not found. See also
find, str.find | |
doc_8226 | The value of the cookie. | |
doc_8227 | class sklearn.covariance.GraphicalLassoCV(*, alphas=4, n_refinements=4, cv=None, tol=0.0001, enet_tol=0.0001, max_iter=100, mode='cd', n_jobs=None, verbose=False, assume_centered=False) [source]
Sparse inverse covariance w/ cross-validated choice of the l1 penalty. See glossary entry for cross-validation estimator. R... | |
doc_8228 |
Alias for get_linestyle. | |
doc_8229 | Cause requests to go through a proxy. If proxies is given, it must be a dictionary mapping protocol names to URLs of proxies. The default is to read the list of proxies from the environment variables <protocol>_proxy. If no proxy environment variables are set, then in a Windows environment proxy settings are obtained f... | |
doc_8230 |
Return an iterable of the ParameterDict keys. | |
doc_8231 | Run a Python subprocess with the given arguments. kw is extra keyword args to pass to subprocess.Popen(). Returns a subprocess.Popen object. | |
doc_8232 |
Gradient Boosting for regression. GB builds an additive model in a forward stage-wise fashion; it allows for the optimization of arbitrary differentiable loss functions. In each stage a regression tree is fit on the negative gradient of the given loss function. Read more in the User Guide. Parameters
loss{‘ls’, ‘... | |
doc_8233 | A legacy method for loading a module. If the module cannot be loaded, ImportError is raised, otherwise the loaded module is returned. If the requested module already exists in sys.modules, that module should be used and reloaded. Otherwise the loader should create a new module and insert it into sys.modules before any ... | |
doc_8234 | In addition to methods provided by the django.contrib.syndication.views.Feed base class, GeoDjango’s Feed class provides the following overrides. Note that these overrides may be done in multiple ways: from django.contrib.gis.feeds import Feed
class MyFeed(Feed):
# First, as a class attribute.
geometry = ...
... | |
doc_8235 |
Returns a field of the given array as a certain type. A field is a view of the array data with a given data-type. The values in the view are determined by the given type and the offset into the current array in bytes. The offset needs to be such that the view dtype fits in the array dtype; for example an array of dty... | |
doc_8236 | Determine whether code is in tableD.2 (Characters with bidirectional property “L”). | |
doc_8237 |
Context-manager that disabled gradient calculation. Disabling gradient calculation is useful for inference, when you are sure that you will not call Tensor.backward(). It will reduce memory consumption for computations that would otherwise have requires_grad=True. In this mode, the result of every computation will ha... | |
doc_8238 |
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_8239 |
Scalar method identical to the corresponding array attribute. Please see ndarray.getfield. | |
doc_8240 | Save the data loaded into the Stats object to a file named filename. The file is created if it does not exist, and is overwritten if it already exists. This is equivalent to the method of the same name on the profile.Profile and cProfile.Profile classes. | |
doc_8241 |
True if this transform is separable in the x- and y- dimensions. | |
doc_8242 |
Return the snap setting. See set_snap for details. | |
doc_8243 | Token value for "%". | |
doc_8244 |
Return first n rows of each group. Similar to .apply(lambda x: x.head(n)), but it returns a subset of rows from the original DataFrame with original index and order preserved (as_index flag is ignored). Parameters
n:int
If positive: number of entries to include from start of each group. If negative: number of e... | |
doc_8245 | Convert to a string, using engineering notation if an exponent is needed. Engineering notation has an exponent which is a multiple of 3. This can leave up to 3 digits to the left of the decimal place and may require the addition of either one or two trailing zeros. For example, this converts Decimal('123E+1') to Decima... | |
doc_8246 | Returns the maximum value of all elements in the input tensor. Warning This function produces deterministic (sub)gradients unlike max(dim=0) Parameters
input (Tensor) – the input tensor. Example: >>> a = torch.randn(1, 3)
>>> a
tensor([[ 0.6763, 0.7445, -2.2369]])
>>> torch.max(a)
tensor(0.7445)
torch.max(inp... | |
doc_8247 |
Return a Path for the primary part of the marker. For unfilled markers this is the whole marker, for filled markers, this is the area to be drawn with markerfacecolor. | |
doc_8248 |
Return number of non-NA/null observations in the Series. Parameters
level:int or level name, default None
If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a smaller Series. Returns
int or Series (if level specified)
Number of non-null values in the Series. S... | |
doc_8249 | Given a context and a command name, this returns a Command object if it exists or returns None. | |
doc_8250 |
Build fontspec preamble from rc. | |
doc_8251 | Files and subdirectories in both a and b. | |
doc_8252 |
Set the artist transform. Parameters
tTransform | |
doc_8253 | name = models.CharField(max_length=30, db_index=True, db_tablespace="indexes")
data = models.CharField(max_length=255, db_index=True)
shortcut = models.CharField(max_length=7)
edges = models.ManyToManyField(to="self", db_tablespace="indexes")
class Meta:
db_tablespace = "tables"
ind... | |
doc_8254 | Read-only access to the unique name of the shared memory block. | |
doc_8255 |
Define the picking behavior of the artist. Parameters
pickerNone or bool or float or callable
This can be one of the following:
None: Picking is disabled for this artist (default). A boolean: If True then picking will be enabled and the artist will fire a pick event if the mouse event is over the artist. A fl... | |
doc_8256 | Return the name of the encoding used to convert between Unicode filenames and bytes filenames. For best compatibility, str should be used for filenames in all cases, although representing filenames as bytes is also supported. Functions accepting or returning filenames should support either str or bytes and internally c... | |
doc_8257 |
The number of output dimensions of this transform. Must be overridden (with integers) in the subclass. | |
doc_8258 |
Bases: matplotlib.tri.trirefine.TriRefiner Uniform mesh refinement by recursive subdivisions. Parameters
triangulationTriangulation
The encapsulated triangulation (to be refined) refine_field(z, triinterpolator=None, subdiv=3)[source]
Refine a field defined on the encapsulated triangulation. Parameters... | |
doc_8259 | Gets or sets the I1I2I3 representation of the Color. i1i2i3 -> tuple The I1I2I3 representation of the Color. The I1I2I3 components are in the ranges I1 = [0, 1], I2 = [-0.5, 0.5], I3 = [-0.5, 0.5]. Note that this will not return the absolutely exact I1I2I3 values for the set RGB values in all cases. Due to the RGB ma... | |
doc_8260 |
The days of the period. | |
doc_8261 |
Make plots of Series or DataFrame. Uses the backend specified by the option plotting.backend. By default, matplotlib is used. Parameters
data:Series or DataFrame
The object for which the method is called.
x:label or position, default None
Only used if data is a DataFrame.
y:label, position or list of labe... | |
doc_8262 |
Return the alpha value used for blending - not supported on all backends. | |
doc_8263 | In-place version of true_divide_() | |
doc_8264 | Returns an opened, file-like object for binary reading of the resource. If the resource cannot be found, FileNotFoundError is raised. | |
doc_8265 | tf.compat.v1.nn.weighted_moments(
x, axes, frequency_weights, name=None, keep_dims=None, keepdims=None
)
Args
x A tensor.
axes 1-d tensor of int32 values; these are the axes along which to compute mean and variance.
frequency_weights A tensor of positive weights which can be broadcast with x. ... | |
doc_8266 |
Normalize value data in the [vmin, vmax] interval into the [0.0, 1.0] interval and return it. Parameters
value
Data to normalize.
clipbool
If None, defaults to self.clip (which defaults to False). Notes If not already initialized, self.vmin and self.vmax are initialized using self.autoscale_None(value). | |
doc_8267 |
alias of matplotlib.backends.backend_nbagg.FigureCanvasNbAgg | |
doc_8268 |
Make a blocking RPC call to run function func on worker to. RPC messages are sent and received in parallel to execution of Python code. This method is thread-safe. Parameters
to (str or WorkerInfo or int) – name/rank/WorkerInfo of the destination worker.
func (callable) – a callable function, such as Python call... | |
doc_8269 |
A context manager to temporarily set the training mode of ‘model’ to ‘mode’, resetting it when we exit the with-block. A no-op if mode is None. In version 1.6 changed to this from set_training | |
doc_8270 | The regular expression object whose match() or search() method produced this match instance. | |
doc_8271 |
Bases: object 4-panel imshow (RGB, R, G, B). Layout:
RGB R
G
B Subclasses can override the _defaultAxesClass attribute. Attributes
RGB_defaultAxesClass
The axes object for the three-channel imshow.
R_defaultAxesClass
The axes object for the red channel imshow.
G_defaultAxesClass
The axes object ... | |
doc_8272 |
Applies local response normalization over an input signal composed of several input planes, where channels occupy the second dimension. Applies normalization across channels. See LocalResponseNorm for details. | |
doc_8273 | Is called whenever the parser encounters a new namespace declaration, before the start() callback for the opening element that defines it. prefix is '' for the default namespace and the declared namespace prefix name otherwise. uri is the namespace URI. New in version 3.8. | |
doc_8274 |
Draw samples from a chi-square distribution. When df independent random variables, each with standard normal distributions (mean 0, variance 1), are squared and summed, the resulting distribution is chi-square (see Notes). This distribution is often used in hypothesis testing. Parameters
dffloat or array_like of ... | |
doc_8275 |
Perform classification on an array of test vectors X. Parameters
Xarray-like of shape (n_samples, n_features)
Returns
Cndarray of shape (n_samples,)
Predicted target values for X | |
doc_8276 |
Parameters
new_scale (float) – Value to use as the new scale growth factor. | |
doc_8277 | Tests if each element of input is positive infinity or not. Parameters
input (Tensor) – the input tensor. Keyword Arguments
out (Tensor, optional) – the output tensor. Example::
>>> a = torch.tensor([-float('inf'), float('inf'), 1.2])
>>> torch.isposinf(a)
tensor([False, True, False]) | |
doc_8278 | See Migration guide for more details. tf.compat.v1.keras.wrappers.scikit_learn.KerasRegressor
tf.keras.wrappers.scikit_learn.KerasRegressor(
build_fn=None, **sk_params
)
Methods check_params View source
check_params(
params
)
Checks for user typos in params.
Arguments
params dictionary; the parame... | |
doc_8279 | Specialized version of sendmsg() for AF_ALG socket. Set mode, IV, AEAD associated data length and flags for AF_ALG socket. Availability: Linux >= 2.6.38. New in version 3.6. | |
doc_8280 |
Set a label that will be displayed in the legend. Parameters
sobject
s will be converted to a string by calling str. | |
doc_8281 | This is the class of the low-level test runner which is used to execute the individual tests and format the results. By default it is set to unittest.TextTestRunner. Despite the unfortunate similarity in naming conventions, this is not the same type of class as DiscoverRunner, which covers a broader set of responsibili... | |
doc_8282 |
Set whether the artist uses clipping. When False artists will be visible outside of the axes which can lead to unexpected results. Parameters
bbool | |
doc_8283 | Called when there is out of band (OOB) data for a socket connection. This will almost never happen, as OOB is tenuously supported and rarely used. | |
doc_8284 | Wait for child process to terminate. Set and return returncode attribute. If the process does not terminate after timeout seconds, raise a TimeoutExpired exception. It is safe to catch this exception and retry the wait. Note This will deadlock when using stdout=PIPE or stderr=PIPE and the child process generates enoug... | |
doc_8285 |
Get the formatter of the major ticker. | |
doc_8286 | Convert 32-bit positive integers from host to network byte order. On machines where the host byte order is the same as network byte order, this is a no-op; otherwise, it performs a 4-byte swap operation. | |
doc_8287 | Returns the strftime() format to use when parsing the month. Returns month_format by default. | |
doc_8288 | Send mail. The required arguments are an RFC 822 from-address string, a list of RFC 822 to-address strings (a bare string will be treated as a list with 1 address), and a message string. The caller may pass a list of ESMTP options (such as 8bitmime) to be used in MAIL FROM commands as mail_options. ESMTP options (such ... | |
doc_8289 |
Disconnect callback by its id (returned by connect_event). | |
doc_8290 |
Return whether the artist is animated. | |
doc_8291 |
pygame module for interacting with events and queues pygame.fastevent is a wrapper for Bob Pendleton's fastevent library. It provides fast events for use in multithreaded environments. When using pygame.fastevent, you can not use any of the pump, wait, poll, post, get, peek, etc. functions from pygame.event, but y... | |
doc_8292 | See Migration guide for more details. tf.compat.v1.raw_ops.RefMerge
tf.raw_ops.RefMerge(
inputs, name=None
)
Merge waits for at least one of the tensors in inputs to become available. It is usually combined with Switch to implement branching. Merge forwards the first tensor for become available to output, and se... | |
doc_8293 |
Description of the Tool. str: Tooltip used if the Tool is included in a Toolbar. | |
doc_8294 |
Return the clipbox. | |
doc_8295 | Delete a cookie. Fails silently if key doesn’t exist. Parameters
key (str) – the key (name) of the cookie to be deleted.
path (str) – if the cookie that should be deleted was limited to a path, the path has to be defined here.
domain (Optional[str]) – if the cookie that should be deleted was limited to a domain, ... | |
doc_8296 |
Generate an image with random shapes, labeled with bounding boxes. The image is populated with random shapes with random sizes, random locations, and random colors, with or without overlap. Shapes have random (row, col) starting coordinates and random sizes bounded by min_size and max_size. It can occur that a random... | |
doc_8297 |
Return index for first non-NA value or None, if no NA value is found. Returns
scalar:type of index
Notes If all elements are non-NA/null, returns None. Also returns None for empty Series/DataFrame. | |
doc_8298 | Get a string that can be used as a format string for time.strftime() to represent a date in a locale-specific way. | |
doc_8299 |
Description of the Tool. str: Tooltip used if the Tool is included in a Toolbar. |
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