_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_29800 |
Set the (group) id for the artist. Parameters
gidstr | |
doc_29801 | Raised when a reference is made to a local variable in a function or method, but no value has been bound to that variable. This is a subclass of NameError. | |
doc_29802 |
Convert datetime objects to Matplotlib dates. Parameters
ddatetime.datetime or numpy.datetime64 or sequences of these
Returns
float or sequence of floats
Number of days since the epoch. See get_epoch for the epoch, which can be changed by rcParams["date.epoch"] (default: '1970-01-01T00:00:00') or set_epoch.... | |
doc_29803 | Accept a connection. The socket must be bound to an address and listening for connections. The return value can be either None or a pair (conn, address) where conn is a new socket object usable to send and receive data on the connection, and address is the address bound to the socket on the other end of the connection.... | |
doc_29804 | Abort signal from abort(3). | |
doc_29805 | This class is the low-level building block of the module. It uses xml.parsers.expat for efficient, event-based parsing of XML. It can be fed XML data incrementally with the feed() method, and parsing events are translated to a push API - by invoking callbacks on the target object. If target is omitted, the standard Tre... | |
doc_29806 | tf.experimental.numpy.positive(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.positive. | |
doc_29807 | Others have write permission. | |
doc_29808 | determine which modifier keys are being held get_mods() -> int Returns a single integer representing a bitmask of all the modifier keys being held. Using bitwise operators you can test if specific modifier keys are pressed. | |
doc_29809 | Decorator for skipping tests if resource is not available. | |
doc_29810 |
Fit the model from data in X. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
Training vector, where n_samples in the number of samples and n_features is the number of features. Returns
selfobject
Returns the instance itself. | |
doc_29811 | See Migration guide for more details. tf.compat.v1.raw_ops.Erfinv
tf.raw_ops.Erfinv(
x, name=None
)
Args
x A Tensor. Must be one of the following types: bfloat16, half, float32, float64.
name A name for the operation (optional).
Returns A Tensor. Has the same type as x. | |
doc_29812 |
Call all of the registered callbacks. This function is triggered internally when a property is changed. See also add_callback
remove_callback | |
doc_29813 |
max_error metric calculates the maximum residual error. Read more in the User Guide. Parameters
y_truearray-like of shape (n_samples,)
Ground truth (correct) target values.
y_predarray-like of shape (n_samples,)
Estimated target values. Returns
max_errorfloat
A positive floating point value (the bes... | |
doc_29814 |
DateOffset of one month end. Attributes
base Returns a copy of the calling offset object with n=1 and all other attributes equal.
freqstr
kwds
n
name
nanos
normalize
rule_code Methods
__call__(*args, **kwargs) Call self as a function.
rollback Roll provided date backwar... | |
doc_29815 | Shifted opposite of the Local Outlier Factor of X. Bigger is better, i.e. large values correspond to inliers. Only available for novelty detection (when novelty is set to True). The shift offset allows a zero threshold for being an outlier. The argument X is supposed to contain new data: if X contains a point from trai... | |
doc_29816 | See Migration guide for more details. tf.compat.v1.math.reduce_min
tf.compat.v1.reduce_min(
input_tensor, axis=None, keepdims=None, name=None, reduction_indices=None,
keep_dims=None
)
Warning: SOME ARGUMENTS ARE DEPRECATED: (keep_dims). They will be removed in a future version. Instructions for updating: kee... | |
doc_29817 | See torch.tril() | |
doc_29818 |
Alias for set_linestyle. | |
doc_29819 | copy Sound samples into an array array(Sound) -> array Creates a new array for the sound data and copies the samples. The array will always be in the format returned from pygame.mixer.get_init(). | |
doc_29820 | See Migration guide for more details. tf.compat.v1.keras.layers.InputLayer
tf.keras.layers.InputLayer(
input_shape=None, batch_size=None, dtype=None, input_tensor=None, sparse=False,
name=None, ragged=False, **kwargs
)
It can either wrap an existing tensor (pass an input_tensor argument) or create a placehol... | |
doc_29821 |
Fit label encoder and return encoded labels. Parameters
yarray-like of shape (n_samples,)
Target values. Returns
yarray-like of shape (n_samples,) | |
doc_29822 | Instances of this class have __call__() methods identical in signature to the built-in function compile(), but with the difference that if the instance compiles program text containing a __future__ statement, the instance ‘remembers’ and compiles all subsequent program texts with the statement in force. | |
doc_29823 | class sklearn.ensemble.HistGradientBoostingRegressor(loss='least_squares', *, learning_rate=0.1, max_iter=100, max_leaf_nodes=31, max_depth=None, min_samples_leaf=20, l2_regularization=0.0, max_bins=255, categorical_features=None, monotonic_cst=None, warm_start=False, early_stopping='auto', scoring='loss', validation_f... | |
doc_29824 | Create a directory named path with numeric mode mode. If the directory already exists, FileExistsError is raised. On some systems, mode is ignored. Where it is used, the current umask value is first masked out. If bits other than the last 9 (i.e. the last 3 digits of the octal representation of the mode) are set, their... | |
doc_29825 | bytearray.replace(old, new[, count])
Return a copy of the sequence with all occurrences of subsequence old replaced by new. If the optional argument count is given, only the first count occurrences are replaced. The subsequence to search for and its replacement may be any bytes-like object. Note The bytearray versio... | |
doc_29826 | The family of protocols to which the server’s socket belongs. Common examples are socket.AF_INET and socket.AF_UNIX. | |
doc_29827 | Computes the LU factorization of a matrix or batches of matrices A. Returns a tuple containing the LU factorization and pivots of A. Pivoting is done if pivot is set to True. Note The pivots returned by the function are 1-indexed. If pivot is False, then the returned pivots is a tensor filled with zeros of the appropr... | |
doc_29828 | tf.profiler.experimental.client.monitor(
service_addr, duration_ms, level=1
)
The monitoring result is a light weight performance summary of your model execution. This method will block the caller thread until it receives the monitoring result. This method currently supports Cloud TPU only.
Args
service_add... | |
doc_29829 | Parameters
input (Tensor) – the input tensor. Tests if any element in input evaluates to True. Note This function matches the behaviour of NumPy in returning output of dtype bool for all supported dtypes except uint8. For uint8 the dtype of output is uint8 itself. Example: >>> a = torch.rand(1, 2).bool()
>>> a
te... | |
doc_29830 |
Assign new columns to a DataFrame. Returns a new object with all original columns in addition to new ones. Existing columns that are re-assigned will be overwritten. Parameters
**kwargs:dict of {str: callable or Series}
The column names are keywords. If the values are callable, they are computed on the DataFram... | |
doc_29831 | class ast.Sub
class ast.Mult
class ast.Div
class ast.FloorDiv
class ast.Mod
class ast.Pow
class ast.LShift
class ast.RShift
class ast.BitOr
class ast.BitXor
class ast.BitAnd
class ast.MatMult
Binary operator tokens. | |
doc_29832 |
Return whether to use fancy math formatting. See also ScalarFormatter.set_useMathText | |
doc_29833 | returns a linear interpolation to the given vector. lerp(Vector2, float) -> Vector2 Returns a Vector which is a linear interpolation between self and the given Vector. The second parameter determines how far between self and other the result is going to be. It must be a value between 0 and 1 where 0 means self and 1 ... | |
doc_29834 | Returns the convolution of this mask with another mask convolve(othermask) -> Mask convolve(othermask, outputmask=None, offset=(0, 0)) -> Mask Convolve this mask with the given othermask.
Parameters:
othermask (Mask) -- mask to convolve this mask with
outputmask (Mask or NoneType) -- (optional) mask for outp... | |
doc_29835 |
Compute Harris corner measure response image. This corner detector uses information from the auto-correlation matrix A: A = [(imx**2) (imx*imy)] = [Axx Axy]
[(imx*imy) (imy**2)] [Axy Ayy]
Where imx and imy are first derivatives, averaged with a gaussian filter. The corner measure is then defined as: det(A)... | |
doc_29836 | from django.shortcuts import get_object_or_404
from myapps.serializers import UserSerializer
from rest_framework import viewsets
from rest_framework.response import Response
class UserViewSet(viewsets.ViewSet):
"""
A simple ViewSet for listing or retrieving users.
"""
def list(self, request):
q... | |
doc_29837 |
Create a spreadsheet-style pivot table as a DataFrame. The levels in the pivot table will be stored in MultiIndex objects (hierarchical indexes) on the index and columns of the result DataFrame. Parameters
values:column to aggregate, optional
index:column, Grouper, array, or list of the previous
If an array i... | |
doc_29838 |
Compare two arrays relatively to their spacing. This is a relatively robust method to compare two arrays whose amplitude is variable. Parameters
x, yarray_like
Input arrays.
nulpint, optional
The maximum number of unit in the last place for tolerance (see Notes). Default is 1. Returns
None
Raises
A... | |
doc_29839 |
Check whether an array-like or dtype is of the Interval dtype. Parameters
arr_or_dtype:array-like or dtype
The array-like or dtype to check. Returns
boolean
Whether or not the array-like or dtype is of the Interval dtype. Examples
>>> is_interval_dtype(object)
False
>>> is_interval_dtype(IntervalDtyp... | |
doc_29840 | The device map locations. | |
doc_29841 | Returns a tensor filled with uninitialized data. The shape and strides of the tensor is defined by the variable argument size and stride respectively. torch.empty_strided(size, stride) is equivalent to torch.empty(size).as_strided(size, stride). Warning More than one element of the created tensor may refer to a single... | |
doc_29842 |
Ordered list of field names, or None if there are no fields. The names are ordered according to increasing byte offset. This can be used, for example, to walk through all of the named fields in offset order. Examples >>> dt = np.dtype([('name', np.str_, 16), ('grades', np.float64, (2,))])
>>> dt.names
('name', 'grade... | |
doc_29843 |
For each element in self, return a copy of the string with all occurrences of substring old replaced by new. See also char.replace | |
doc_29844 |
Encode the object as an enumerated type or categorical variable. This method is useful for obtaining a numeric representation of an array when all that matters is identifying distinct values. factorize is available as both a top-level function pandas.factorize(), and as a method Series.factorize() and Index.factorize... | |
doc_29845 | AutoLocator MaxNLocator with simple defaults. This is the default tick locator for most plotting.
MaxNLocator Finds up to a max number of intervals with ticks at nice locations.
LinearLocator Space ticks evenly from min to max.
LogLocator Space ticks logarithmically from min to max.
MultipleLocator Ticks and ra... | |
doc_29846 | The Control widget is also known as the SpinBox widget. The user can adjust the value by pressing the two arrow buttons or by entering the value directly into the entry. The new value will be checked against the user-defined upper and lower limits. | |
doc_29847 |
Fits this SelfTrainingClassifier to a dataset. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
Array representing the data.
y{array-like, sparse matrix} of shape (n_samples,)
Array representing the labels. Unlabeled samples should have the label -1. Returns
selfobject
Return... | |
doc_29848 | Outputs the record to the file, catering for rollover as described previously. | |
doc_29849 |
Return the alternate marker face color. See also set_markerfacecoloralt. | |
doc_29850 | See Migration guide for more details. tf.compat.v1.raw_ops.ResourceSparseApplyAdadelta
tf.raw_ops.ResourceSparseApplyAdadelta(
var, accum, accum_update, lr, rho, epsilon, grad, indices, use_locking=False,
name=None
)
Args
var
A Tensor of type resource.
accum
A Tensor of type resource. Should... | |
doc_29851 | Returns the quality of the key. Changelog New in version 0.6: In previous versions you had to use the item-lookup syntax (eg: obj[key] instead of obj.quality(key)) | |
doc_29852 |
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_29853 | Get the radix character (decimal dot, decimal comma, etc.). | |
doc_29854 | Return True if pathname 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 poi... | |
doc_29855 |
Alias for set_linestyle. | |
doc_29856 | Query or modify the heading options for the specified column. If kw is not given, returns a dict of the heading option values. If option is specified then the value for that option is returned. Otherwise, sets the options to the corresponding values. The valid options/values are:
text: text
The text to display in t... | |
doc_29857 | See Migration guide for more details. tf.compat.v1.raw_ops.StringJoin
tf.raw_ops.StringJoin(
inputs, separator='', name=None
)
with the given separator (default is an empty separator). Examples:
s = ["hello", "world", "tensorflow"]
tf.strings.join(s, " ")
<tf.Tensor: shape=(), dtype=string, numpy=b'hello world ... | |
doc_29858 |
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_29859 |
Return self@value. | |
doc_29860 |
Test whether the artist contains the mouse event. Parameters
mouseeventmatplotlib.backend_bases.MouseEvent
Returns
containsbool
Whether any values are within the radius.
detailsdict
An artist-specific dictionary of details of the event context, such as which points are contained in the pick radius. Se... | |
doc_29861 |
Add a horizontal line across the axis. Parameters
yfloat, default: 0
y position in data coordinates of the horizontal line.
xminfloat, default: 0
Should be between 0 and 1, 0 being the far left of the plot, 1 the far right of the plot.
xmaxfloat, default: 1
Should be between 0 and 1, 0 being the far lef... | |
doc_29862 | Remove and return an element from the left side of the deque. If no elements are present, raises an IndexError. | |
doc_29863 | URL linking to a comment from the server explaining the function of this cookie, or None. | |
doc_29864 | Returns the (flattened, log-transformed) non-fixed hyperparameters. Note that theta are typically the log-transformed values of the kernel’s hyperparameters as this representation of the search space is more amenable for hyperparameter search, as hyperparameters like length-scales naturally live on a log-scale. Return... | |
doc_29865 | Convert argument strings to objects and assign them as attributes of the namespace. Return the populated namespace. Previous calls to add_argument() determine exactly what objects are created and how they are assigned. See the documentation for add_argument() for details.
args - List of strings to parse. The default ... | |
doc_29866 |
Appends a given parameter at the end of the list. Parameters
parameter (nn.Parameter) – parameter to append | |
doc_29867 |
Make a horizontal bar plot. The bars are positioned at y with the given alignment. Their dimensions are given by width and height. The horizontal baseline is left (default 0). Many parameters can take either a single value applying to all bars or a sequence of values, one for each bar. Parameters
yfloat or array-... | |
doc_29868 | Return True if the object is a coroutine created by an async def function. New in version 3.5. | |
doc_29869 | See Migration guide for more details. tf.compat.v1.raw_ops.SparseToSparseSetOperation
tf.raw_ops.SparseToSparseSetOperation(
set1_indices, set1_values, set1_shape, set2_indices, set2_values, set2_shape,
set_operation, validate_indices=True, name=None
)
See SetOperationOp::SetOperationFromContext for values o... | |
doc_29870 |
Perform Affinity Propagation Clustering of data. Read more in the User Guide. Parameters
dampingfloat, default=0.5
Damping factor (between 0.5 and 1) is the extent to which the current value is maintained relative to incoming values (weighted 1 - damping). This in order to avoid numerical oscillations when upda... | |
doc_29871 |
Initialize self. See help(type(self)) for accurate signature. | |
doc_29872 | See Migration guide for more details. tf.compat.v1.image.resize_image_with_crop_or_pad, tf.compat.v1.image.resize_with_crop_or_pad
tf.image.resize_with_crop_or_pad(
image, target_height, target_width
)
Resizes an image to a target width and height by either centrally cropping the image or padding it evenly with ... | |
doc_29873 | Returns the character decomposition mapping assigned to the character chr as string. An empty string is returned in case no such mapping is defined. | |
doc_29874 | Wraps the single paragraph in text, and returns a single string containing the wrapped paragraph. fill() is shorthand for "\n".join(wrap(text, ...))
In particular, fill() accepts exactly the same keyword arguments as wrap(). | |
doc_29875 | See Migration guide for more details. tf.compat.v1.sysconfig.get_compile_flags
tf.sysconfig.get_compile_flags()
Returns The compilation flags. | |
doc_29876 | See Migration guide for more details. tf.compat.v1.estimator.TrainSpec
tf.estimator.TrainSpec(
input_fn, max_steps=None, hooks=None, saving_listeners=None
)
TrainSpec determines the input data for the training, as well as the duration. Optional hooks run at various stages of training. Usage:
train_spec = tf.est... | |
doc_29877 |
Set padding of X data limits prior to autoscaling. m times the data interval will be added to each end of that interval before it is used in autoscaling. For example, if your data is in the range [0, 2], a factor of m = 0.1 will result in a range [-0.2, 2.2]. Negative values -0.5 < m < 0 will result in clipping of th... | |
doc_29878 |
self != 0 | |
doc_29879 |
Setup for writing the movie file. Parameters
figFigure
The figure object that contains the information for frames.
outfilestr
The filename of the resulting movie file.
dpifloat, default: fig.dpi
The DPI (or resolution) for the file. This controls the size in pixels of the resulting movie file. | |
doc_29880 | The header to issue if the help output has a section for undocumented commands (that is, there are do_*() methods without corresponding help_*() methods). | |
doc_29881 |
Return a list of the child Artists of this Artist. | |
doc_29882 |
Compute the per-sample average log-likelihood of the given data X. Parameters
Xarray-like of shape (n_samples, n_dimensions)
List of n_features-dimensional data points. Each row corresponds to a single data point. Returns
log_likelihoodfloat
Log likelihood of the Gaussian mixture given X. | |
doc_29883 |
See set_ylim. | |
doc_29884 | See Migration guide for more details. tf.compat.v1.raw_ops.Digamma
tf.raw_ops.Digamma(
x, name=None
)
Gamma(x)), element-wise.
Args
x A Tensor. Must be one of the following types: bfloat16, half, float32, float64.
name A name for the operation (optional).
Returns A Tensor. Has the same t... | |
doc_29885 |
Observer module for computing the quantization parameters based on the running per channel min and max values. This observer uses the tensor min/max statistics to compute the per channel quantization parameters. The module records the running minimum and maximum of incoming tensors, and uses this statistic to compute... | |
doc_29886 | See Migration guide for more details. tf.compat.v1.raw_ops.IsBoostedTreesEnsembleInitialized
tf.raw_ops.IsBoostedTreesEnsembleInitialized(
tree_ensemble_handle, name=None
)
Args
tree_ensemble_handle A Tensor of type resource. Handle to the tree ensemble resource.
name A name for the operation (opt... | |
doc_29887 |
Complex number type composed of two extended-precision floating-point numbers. Character code
'G' Alias
numpy.clongfloat Alias
numpy.longcomplex Alias on this platform (Linux x86_64)
numpy.complex256: Complex number type composed of 2 128-bit extended-precision floating-point numbers. | |
doc_29888 | The input stream for the uploaded file. This usually points to an open temporary file. | |
doc_29889 | A function call. func is the function, which will often be a Name or Attribute object. Of the arguments:
args holds a list of the arguments passed by position.
keywords holds a list of keyword objects representing arguments passed by keyword. When creating a Call node, args and keywords are required, but they can b... | |
doc_29890 | Allows the handler to completely override the parsing of the raw HTTP input. input_data is a file-like object that supports read()-ing. META is the same object as request.META. content_length is the length of the data in input_data. Don’t read more than content_length bytes from input_data. boundary is the MIME boundar... | |
doc_29891 | tf.compat.v1.data.experimental.SqlDataset(
driver_name, data_source_name, query, output_types
)
Args
driver_name A 0-D tf.string tensor containing the database type. Currently, the only supported value is 'sqlite'.
data_source_name A 0-D tf.string tensor containing a connection string to connect to ... | |
doc_29892 |
Warning This method does nothing, except raise a ValueError exception. A masked array does not own its data and therefore cannot safely be resized in place. Use the numpy.ma.resize function instead. This method is difficult to implement safely and may be deprecated in future releases of NumPy. | |
doc_29893 |
Set the spine to be linear. | |
doc_29894 | See Migration guide for more details. tf.compat.v1.keras.layers.experimental.preprocessing.Rescaling
tf.keras.layers.experimental.preprocessing.Rescaling(
scale, offset=0.0, name=None, **kwargs
)
For instance: To rescale an input in the [0, 255] range to be in the [0, 1] range, you would pass scale=1./255. To r... | |
doc_29895 |
Shift index by desired number of time frequency increments. This method is for shifting the values of datetime-like indexes by a specified time increment a given number of times. Parameters
periods:int, default 1
Number of periods (or increments) to shift by, can be positive or negative.
freq:pandas.DateOffse... | |
doc_29896 | get an available event poll() -> Event Returns next event on queue. If there is no event waiting on the queue, this will return an event with type NOEVENT. | |
doc_29897 | See Migration guide for more details. tf.compat.v1.ragged.range
tf.ragged.range(
starts, limits=None, deltas=1, dtype=None, name=None,
row_splits_dtype=tf.dtypes.int64
)
Each row of the returned RaggedTensor contains a single sequence: ragged.range(starts, limits, deltas)[i] ==
tf.range(starts[i], limits... | |
doc_29898 |
Sets the random number generator state. Parameters
new_state (torch.ByteTensor) – The desired state | |
doc_29899 | See Migration guide for more details. tf.compat.v1.math.unsorted_segment_prod, tf.compat.v1.unsorted_segment_prod
tf.math.unsorted_segment_prod(
data, segment_ids, num_segments, name=None
)
Read the section on segmentation for an explanation of segments. This operator is similar to the unsorted segment sum opera... |
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