_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_19100 |
Return True if the given estimator is (probably) a classifier. Parameters
estimatorobject
Estimator object to test. Returns
outbool
True if estimator is a classifier and False otherwise. | |
doc_19101 |
Return the kernel k(X, Y) and optionally its gradient. Parameters
Xndarray of shape (n_samples_X, n_features)
Left argument of the returned kernel k(X, Y)
Yndarray of shape (n_samples_Y, n_features), default=None
Right argument of the returned kernel k(X, Y). If None, k(X, X) if evaluated instead.
eval_gr... | |
doc_19102 |
Return Exponential power of series and other, element-wise (binary operator pow). Equivalent to series ** other, but with support to substitute a fill_value for missing data in either one of the inputs. Parameters
other:Series or scalar value
fill_value:None or float value, default None (NaN)
Fill existing mi... | |
doc_19103 |
Return a string of the type inferred from the values. | |
doc_19104 | Write a list (or any iterable) of data bytes to the transport. This is functionally equivalent to calling write() on each element yielded by the iterable, but may be implemented more efficiently. | |
doc_19105 |
Returns a new numpy.recarray with fields in drop_names dropped. | |
doc_19106 |
Applies a bilinear transformation to the incoming data: y=x1TAx2+by = x_1^T A x_2 + b Parameters
in1_features – size of each first input sample
in2_features – size of each second input sample
out_features – size of each output sample
bias – If set to False, the layer will not learn an additive bias. Default: ... | |
doc_19107 | tf.initializers.Ones, tf.initializers.ones, tf.keras.initializers.ones Also available via the shortcut function tf.keras.initializers.ones. Examples:
# Standalone usage:
initializer = tf.keras.initializers.Ones()
values = initializer(shape=(2, 2))
# Usage in a Keras layer:
initializer = tf.keras.initializers.Ones()... | |
doc_19108 |
Compute the anomalies (deviations from the arithmetic mean) along the given axis. Returns an array of anomalies, with the same shape as the input and where the arithmetic mean is computed along the given axis. Parameters
axisint, optional
Axis over which the anomalies are taken. The default is to use the mean o... | |
doc_19109 | A dictionary of context data that will be added to the default context data passed to the template. | |
doc_19110 |
Clear up any closed Comms. | |
doc_19111 | Return a tuple (real_value, coded_value). val can be any type, but coded_value will always be converted to a string. This method does no encoding in BaseCookie — it exists so it can be overridden. In general, it should be the case that value_encode() and value_decode() are inverses on the range of value_decode. | |
doc_19112 | Get the filename of the default font get_default_font() -> string Return the filename of the default pygame font. This is not the full path to the file. The file is usually in the same directory as the font module, but can also be bundled in a separate archive. | |
doc_19113 | See Migration guide for more details. tf.compat.v1.keras.applications.mobilenet_v2.decode_predictions
tf.keras.applications.mobilenet_v2.decode_predictions(
preds, top=5
)
Arguments
preds Numpy array encoding a batch of predictions.
top Integer, how many top-guesses to return. Defaults to 5.
... | |
doc_19114 |
Get the FreeType hinting type to use with this particular backend. | |
doc_19115 |
Draw contour regions on an unstructured triangular grid. The triangulation can be specified in one of two ways; either tricontourf(triangulation, ...)
where triangulation is a Triangulation object, or tricontourf(x, y, ...)
tricontourf(x, y, triangles, ...)
tricontourf(x, y, triangles=triangles, ...)
tricontourf(x, ... | |
doc_19116 | exception struct.error
Exception raised on various occasions; argument is a string describing what is wrong.
struct.pack(format, v1, v2, ...)
Return a bytes object containing the values v1, v2, … packed according to the format string format. The arguments must match the values required by the format exactly.
... | |
doc_19117 | Replace the message corresponding to key with message. Raise a KeyError exception if no message already corresponds to key. As with add(), parameter message may be a Message instance, an email.message.Message instance, a string, a byte string, or a file-like object (which should be open in binary mode). If message is a... | |
doc_19118 |
Set the artist's visibility. Parameters
bbool | |
doc_19119 | The name of the encoding. | |
doc_19120 | mmap.MADV_RANDOM
mmap.MADV_SEQUENTIAL
mmap.MADV_WILLNEED
mmap.MADV_DONTNEED
mmap.MADV_REMOVE
mmap.MADV_DONTFORK
mmap.MADV_DOFORK
mmap.MADV_HWPOISON
mmap.MADV_MERGEABLE
mmap.MADV_UNMERGEABLE
mmap.MADV_SOFT_OFFLINE
mmap.MADV_HUGEPAGE
mmap.MADV_NOHUGEPAGE
mmap.MADV_DONTDUMP
mmap.MADV_DODUMP
m... | |
doc_19121 | Return the mantissa and exponent of x as the pair (m, e). m is a float and e is an integer such that x == m * 2**e exactly. If x is zero, returns (0.0, 0), otherwise 0.5 <= abs(m) < 1. This is used to “pick apart” the internal representation of a float in a portable way. | |
doc_19122 | Sets a cookie in the client’s cookie jar. The server name is required and has to match the one that is also passed to the open call. Parameters
server_name (str) –
key (str) –
value (str) –
max_age (Optional[Union[datetime.timedelta, int]]) –
expires (Optional[Union[str, datetime.datetime, int, float]]) – ... | |
doc_19123 | Token value for ">>=". | |
doc_19124 |
Stack arrays in sequence vertically (row wise). This is equivalent to concatenation along the first axis after 1-D arrays of shape (N,) have been reshaped to (1,N). Rebuilds arrays divided by vsplit. This function makes most sense for arrays with up to 3 dimensions. For instance, for pixel-data with a height (first a... | |
doc_19125 | Decorator for only running the test if HAVE_DOCSTRINGS. | |
doc_19126 | class sklearn.semi_supervised.LabelSpreading(kernel='rbf', *, gamma=20, n_neighbors=7, alpha=0.2, max_iter=30, tol=0.001, n_jobs=None) [source]
LabelSpreading model for semi-supervised learning This model is similar to the basic Label Propagation algorithm, but uses affinity matrix based on the normalized graph Lapla... | |
doc_19127 |
Verifies if the underlying skippable modules satisfy integrity. Every skip tensor must have only one pair of stash and pop. If there are one or more unmatched pairs, it will raise TypeError with the detailed messages. Here are a few failure cases. verify_skippables() will report failure for these cases: # Layer1 stas... | |
doc_19128 | See Migration guide for more details. tf.compat.v1.raw_ops.ApplyRMSProp
tf.raw_ops.ApplyRMSProp(
var, ms, mom, lr, rho, momentum, epsilon, grad, use_locking=False, name=None
)
Note that in dense implementation of this algorithm, ms and mom will update even if the grad is zero, but in this sparse implementation, ... | |
doc_19129 | curses.panel.bottom_panel()
Returns the bottom panel in the panel stack.
curses.panel.new_panel(win)
Returns a panel object, associating it with the given window win. Be aware that you need to keep the returned panel object referenced explicitly. If you don’t, the panel object is garbage collected and removed f... | |
doc_19130 | Applies the logical operation xor between each operand’s digits. | |
doc_19131 | Combines a given template with a given context dictionary and returns an HttpResponse object with that rendered text. Django does not provide a shortcut function which returns a TemplateResponse because the constructor of TemplateResponse offers the same level of convenience as render(). | |
doc_19132 | True if the domain explicitly specified by the server began with a dot ('.'). | |
doc_19133 |
Write array to a file as text or binary (default). Data is always written in ‘C’ order, independent of the order of a. The data produced by this method can be recovered using the function fromfile(). Parameters
fidfile or str or Path
An open file object, or a string containing a filename. Changed in version 1.... | |
doc_19134 | Sets a header unless it has already been set. | |
doc_19135 |
Return whether the artist is animated. | |
doc_19136 | Returns sample width in bytes. | |
doc_19137 |
Finds the neighbors within a given radius of a point or points. Return the indices and distances of each point from the dataset lying in a ball with size radius around the points of the query array. Points lying on the boundary are included in the results. The result points are not necessarily sorted by distance to t... | |
doc_19138 |
Bases: matplotlib.patches.ArrowStyle._Base A fancy arrow. Only works with a quadratic Bezier curve. Parameters
head_lengthfloat, default: 0.4
Length of the arrow head.
head_widthfloat, default: 0.4
Width of the arrow head.
tail_widthfloat, default: 0.4
Width of the arrow tail. transmute(path, muta... | |
doc_19139 | Register a defect on obj. In the email package, defect will always be a subclass of Defect. The default implementation calls the append method of the defects attribute of obj. When the email package calls handle_defect, obj will normally have a defects attribute that has an append method. Custom object types used with ... | |
doc_19140 |
Return the integer indices that would sort the index. Parameters
*args
Passed to numpy.ndarray.argsort. **kwargs
Passed to numpy.ndarray.argsort. Returns
np.ndarray[np.intp]
Integer indices that would sort the index if used as an indexer. See also numpy.argsort
Similar method for NumPy arrays. Ind... | |
doc_19141 |
An Hermite series class. The Hermite class provides the standard Python numerical methods ‘+’, ‘-’, ‘*’, ‘//’, ‘%’, ‘divmod’, ‘**’, and ‘()’ as well as the attributes and methods listed in the ABCPolyBase documentation. Parameters
coefarray_like
Hermite coefficients in order of increasing degree, i.e, (1, 2, 3)... | |
doc_19142 |
Fills the 2-dimensional input Tensor with the identity matrix. Preserves the identity of the inputs in Linear layers, where as many inputs are preserved as possible. Parameters
tensor – a 2-dimensional torch.Tensor Examples >>> w = torch.empty(3, 5)
>>> nn.init.eye_(w) | |
doc_19143 |
Set a new gamma value and regenerate colormap. | |
doc_19144 |
Error raised when an operation would introduce duplicate labels. New in version 1.2.0. Examples
>>> s = pd.Series([0, 1, 2], index=['a', 'b', 'c']).set_flags(
... allows_duplicate_labels=False
... )
>>> s.reindex(['a', 'a', 'b'])
Traceback (most recent call last):
...
DuplicateLabelError: Index has duplicat... | |
doc_19145 | Reads path as a binary file and returns the bytes from it. | |
doc_19146 | Binds the request context to the current context. Return type
None | |
doc_19147 | See Migration guide for more details. tf.compat.v1.raw_ops.TensorScatterAdd
tf.raw_ops.TensorScatterAdd(
tensor, indices, updates, name=None
)
This operation creates a new tensor by adding sparse updates to the passed in tensor. This operation is very similar to tf.scatter_nd_add, except that the updates are add... | |
doc_19148 | See Migration guide for more details. tf.compat.v1.raw_ops.SelectV2
tf.raw_ops.SelectV2(
condition, t, e, name=None
)
Args
condition A Tensor of type bool.
t A Tensor.
e A Tensor. Must have the same type as t.
name A name for the operation (optional).
Returns A Tensor. Has th... | |
doc_19149 | See Migration guide for more details. tf.compat.v1.train.CheckpointOptions
tf.train.CheckpointOptions(
experimental_io_device=None
)
Used as the _options argument to the tf.Checkpoint constructor to adjust how variables are saved. Example: Run IO ops on "localhost" while saving a checkpoint: step = tf.Variable(0... | |
doc_19150 | Checkpoint mailbox on server. | |
doc_19151 |
Check, inclusively, whether an interval includes a given value. Parameters
interval(float, float)
The endpoints of the interval.
valfloat
Value to check is within interval. Returns
bool
Whether val is within the interval. | |
doc_19152 |
Series.notnull is an alias for Series.notna. Detect existing (non-missing) values. Return a boolean same-sized object indicating if the values are not NA. Non-missing values get mapped to True. Characters such as empty strings '' or numpy.inf are not considered NA values (unless you set pandas.options.mode.use_inf_as... | |
doc_19153 |
Finalize stream. | |
doc_19154 | Exception raised when a curses library function returns an error. | |
doc_19155 | tf.compat.v1.nn.embedding_lookup(
params, ids, partition_strategy='mod', name=None,
validate_indices=True, max_norm=None
)
This function is used to perform parallel lookups on the list of tensors in params. It is a generalization of tf.gather, where params is interpreted as a partitioning of a large embedding ... | |
doc_19156 | Return False if cookies should not be returned, given cookie domain. This method is an optimization. It removes the need for checking every cookie with a particular domain (which might involve reading many files). Returning true from domain_return_ok() and path_return_ok() leaves all the work to return_ok(). If domain_... | |
doc_19157 |
Return whether the given points are inside the patch. Parameters
points(N, 2) array
The points to check, in target coordinates of self.get_transform(). These are display coordinates for patches that are added to a figure or axes. Columns contain x and y values.
radiusfloat, optional
Add an additional margin... | |
doc_19158 | from myapp.serializers import UserSerializer
from rest_framework import generics
from rest_framework.permissions import IsAdminUser
class UserList(generics.ListCreateAPIView):
queryset = User.objects.all()
serializer_class = UserSerializer
permission_classes = [IsAdminUser]
For more complex cases you migh... | |
doc_19159 | See Migration guide for more details. tf.compat.v1.app.flags.ArgumentParser The parse() method checks to make sure that the string argument is a legal value and convert it to a native type. If the value cannot be converted, it should throw a 'ValueError' exception with a human readable explanation of why the value is ... | |
doc_19160 |
Bases: torch.distributions.distribution.Distribution Creates a multivariate normal distribution with covariance matrix having a low-rank form parameterized by cov_factor and cov_diag: covariance_matrix = cov_factor @ cov_factor.T + cov_diag
Example >>> m = LowRankMultivariateNormal(torch.zeros(2), torch.tensor([[1.]... | |
doc_19161 | A 33-element string array that contains the ASCII mnemonics for the thirty-two ASCII control characters from 0 (NUL) to 0x1f (US), in order, plus the mnemonic SP for the space character. | |
doc_19162 |
Split strings around given separator/delimiter. Splits the string in the Series/Index from the end, at the specified delimiter string. Parameters
pat:str or compiled regex, optional
String or regular expression to split on. If not specified, split on whitespace.
n:int, default -1 (all)
Limit number of split... | |
doc_19163 | Many-to-many relationship to Permission | |
doc_19164 | Return the width of the turtle window. >>> screen.window_width()
640 | |
doc_19165 | create a new event object Event(type, dict) -> EventType instance Event(type, **attributes) -> EventType instance Creates a new event with the given type and attributes. The attributes can come from a dictionary argument with string keys or from keyword arguments. | |
doc_19166 | Return a 2-tuple; the first element is a string containing the command line to be executed (which can be passed to os.system()), and the second element is the mailcap entry for a given MIME type. If no matching MIME type can be found, (None, None) is returned. key is the name of the field desired, which represents the ... | |
doc_19167 |
Parameters
urlslist of str or None
Notes URLs are currently only implemented by the SVG backend. They are ignored by all other backends. | |
doc_19168 | tf.compat.v1.enable_tensor_equality()
Comparing tensors with element-wise allows comparisons such as tf.Variable(1.0) == 1.0. Element-wise equality implies that tensors are unhashable. Thus tensors can no longer be directly used in sets or as a key in a dictionary. | |
doc_19169 |
Join a sequence of arrays along an existing axis. Parameters
a1, a2, …sequence of array_like
The arrays must have the same shape, except in the dimension corresponding to axis (the first, by default).
axisint, optional
The axis along which the arrays will be joined. If axis is None, arrays are flattened bef... | |
doc_19170 |
Generates a octahedron-shaped structuring element. This is the 3D equivalent of a diamond. A pixel is part of the neighborhood (i.e. labeled 1) if the city block/Manhattan distance between it and the center of the neighborhood is no greater than radius. Parameters
radiusint
The radius of the octahedron-shaped s... | |
doc_19171 |
View inputs as arrays with at least three dimensions. Parameters
arys1, arys2, …array_like
One or more array-like sequences. Non-array inputs are converted to arrays. Arrays that already have three or more dimensions are preserved. Returns
res1, res2, …ndarray
An array, or list of arrays, each with a.nd... | |
doc_19172 |
Bases: torch.distributions.transformed_distribution.TransformedDistribution Samples from a Pareto Type 1 distribution. Example: >>> m = Pareto(torch.tensor([1.0]), torch.tensor([1.0]))
>>> m.sample() # sample from a Pareto distribution with scale=1 and alpha=1
tensor([ 1.5623])
Parameters
scale (float or Tensor... | |
doc_19173 |
Returns the state of the scaler as a dict. It contains five entries:
"scale" - a Python float containing the current scale
"growth_factor" - a Python float containing the current growth factor
"backoff_factor" - a Python float containing the current backoff factor
"growth_interval" - a Python int containing the ... | |
doc_19174 | rotates the vector around the x-axis by the angle in degrees in place. rotate_x_ip(angle) -> None Rotates the vector counterclockwise around the x-axis by the given angle in degrees. The length of the vector is not changed. | |
doc_19175 |
Applies the element-wise function: LogSigmoid(x)=log(11+exp(−x))\text{LogSigmoid}(x) = \log\left(\frac{ 1 }{ 1 + \exp(-x)}\right)
Shape:
Input: (N,∗)(N, *) where * means, any number of additional dimensions Output: (N,∗)(N, *) , same shape as the input Examples: >>> m = nn.LogSigmoid()
>>> input = torch.... | |
doc_19176 |
Iterate over each bezier curve (lines included) in a Path. Parameters
**kwargs
Forwarded to iter_segments. Yields
Bmatplotlib.bezier.BezierSegment
The bezier curves that make up the current path. Note in particular that freestanding points are bezier curves of order 0, and lines are bezier curves of order... | |
doc_19177 | When passed a dict of code -> exception items it can be used as callable that raises exceptions. If the first argument to the callable is an integer it will be looked up in the mapping, if it’s a WSGI application it will be raised in a proxy exception. The rest of the arguments are forwarded to the exception constructo... | |
doc_19178 | See Migration guide for more details. tf.compat.v1.raw_ops.InTopK
tf.raw_ops.InTopK(
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 among the top k predictions among all predictions for example i. Note that the behavior... | |
doc_19179 | Can be overridden by a subclass to hook into the matching of the request. Return type
None | |
doc_19180 |
Map values using input an input mapping or function. Maps the values (their categories, not the codes) of the index to new categories. If the mapping correspondence is one-to-one the result is a CategoricalIndex which has the same order property as the original, otherwise an Index is returned. If a dict or Series is ... | |
doc_19181 | This class method constructs a Fraction representing the exact value of dec, which must be a decimal.Decimal instance. Note From Python 3.2 onwards, you can also construct a Fraction instance directly from a decimal.Decimal instance. | |
doc_19182 |
Return a copy of the Bbox anchored to c within container. Parameters
c(float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', ...}
Either an (x, y) pair of relative coordinates (0 is left or bottom, 1 is right or top), 'C' (center), or a cardinal direction ('SW', southwest, is bottom left, etc.).
containerBbox, o... | |
doc_19183 | Register a callback function that will be called after the TLS Client Hello handshake message has been received by the SSL/TLS server when the TLS client specifies a server name indication. The server name indication mechanism is specified in RFC 6066 section 3 - Server Name Indication. Only one callback can be set per... | |
doc_19184 | bytearray.split(sep=None, maxsplit=-1)
Split the binary sequence into subsequences of the same type, using sep as the delimiter string. If maxsplit is given and non-negative, at most maxsplit splits are done (thus, the list will have at most maxsplit+1 elements). If maxsplit is not specified or is -1, then there is n... | |
doc_19185 |
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_19186 |
Set the parameters of this estimator. The method works on simple estimators as well as on nested objects (such as Pipeline). The latter have parameters of the form <component>__<parameter> so that it’s possible to update each component of a nested object. Parameters
**paramsdict
Estimator parameters. Returns... | |
doc_19187 |
Return the length of the lines used to mark each event. | |
doc_19188 | See torch.pow() | |
doc_19189 | tf.keras.applications.efficientnet.EfficientNetB5 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.EfficientNetB5, tf.compat.v1.keras.applications.efficientnet.EfficientNetB5
tf.keras.applications.EfficientNetB5(
include_top=True, weights='imagenet', input_tensor=... | |
doc_19190 |
pygame module for camera use Pygame currently supports only Linux and v4l2 cameras. EXPERIMENTAL!: This API may change or disappear in later pygame releases. If you use this, your code will very likely break with the next pygame release. The Bayer to RGB function is based on: Sonix SN9C101 based webcam basic I/F r... | |
doc_19191 | Loads an external XML section into this element tree. source is a file name or file object. parser is an optional parser instance. If not given, the standard XMLParser parser is used. Returns the section root element. | |
doc_19192 |
An array object represents a multidimensional, homogeneous array of fixed-size items. An associated data-type object describes the format of each element in the array (its byte-order, how many bytes it occupies in memory, whether it is an integer, a floating point number, or something else, etc.) Arrays should be con... | |
doc_19193 | Returns a new instance of the QueueListener class. The instance is initialized with the queue to send messages to and a list of handlers which will handle entries placed on the queue. The queue can be any queue-like object; it’s passed as-is to the dequeue() method, which needs to know how to get messages from it. The ... | |
doc_19194 | Returns the absolute URI form of location. If no location is provided, the location will be set to request.get_full_path(). If the location is already an absolute URI, it will not be altered. Otherwise the absolute URI is built using the server variables available in this request. For example: >>> request.build_absolut... | |
doc_19195 |
Return elements chosen from x or y depending on condition. Note When only condition is provided, this function is a shorthand for np.asarray(condition).nonzero(). Using nonzero directly should be preferred, as it behaves correctly for subclasses. The rest of this documentation covers only the case where all three ar... | |
doc_19196 | The total number of addresses in the network. | |
doc_19197 |
Return the readonly Path of the unit circle. For most cases, Path.circle() will be what you want. | |
doc_19198 | See Migration guide for more details. tf.compat.v1.broadcast_static_shape
tf.broadcast_static_shape(
shape_x, shape_y
)
When shape_x and shape_y are fully known TensorShapes this computes a TensorShape which is the shape of the result of a broadcasting op applied in tensors of shapes shape_x and shape_y. For exa... | |
doc_19199 |
Set parameters within this locator |
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