_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_18600 | The last child of the node, if there are any, or None. This is a read-only attribute. | |
doc_18601 |
Find features between low_sigma and high_sigma in size. This function uses the Difference of Gaussians method for applying band-pass filters to multi-dimensional arrays. The input array is blurred with two Gaussian kernels of differing sigmas to produce two intermediate, filtered images. The more-blurred image is the... | |
doc_18602 | This function drops you into the debugger at the call site. Specifically, it calls sys.breakpointhook(), passing args and kws straight through. By default, sys.breakpointhook() calls pdb.set_trace() expecting no arguments. In this case, it is purely a convenience function so you don’t have to explicitly import pdb or t... | |
doc_18603 |
Load a parquet object from the file path, returning a DataFrame. Parameters
path:str, path object or file-like object
String, path object (implementing os.PathLike[str]), or file-like object implementing a binary read() function. The string could be a URL. Valid URL schemes include http, ftp, s3, gs, and file. ... | |
doc_18604 |
Predict using the linear model. Parameters
Xarray-like or sparse matrix, shape (n_samples, n_features)
Samples. Returns
Carray, shape (n_samples,)
Returns predicted values. | |
doc_18605 |
integer value of flags | |
doc_18606 | Alias for torch.mul(). | |
doc_18607 | tf.keras.mixed_precision.experimental.global_policy
tf.keras.mixed_precision.global_policy()
The global policy is the default tf.keras.mixed_precision.Policy used for layers, if no policy is passed to the layer constructor. If no policy has been set with keras.mixed_precision.set_global_policy, this will return a po... | |
doc_18608 | Returns information identifying the current operating system. The return value is an object with five attributes:
sysname - operating system name
nodename - name of machine on network (implementation-defined)
release - operating system release
version - operating system version
machine - hardware identifier For ... | |
doc_18609 | See Migration guide for more details. tf.compat.v1.linalg.diag, tf.compat.v1.matrix_diag
tf.linalg.diag(
diagonal, name='diag', k=0, num_rows=-1, num_cols=-1, padding_value=0,
align='RIGHT_LEFT'
)
Returns a tensor with the contents in diagonal as k[0]-th to k[1]-th diagonals of a matrix, with everything else... | |
doc_18610 | See Migration guide for more details. tf.compat.v1.raw_ops.BoostedTreesUpdateEnsemble
tf.raw_ops.BoostedTreesUpdateEnsemble(
tree_ensemble_handle, feature_ids, node_ids, gains, thresholds,
left_node_contribs, right_node_contribs, max_depth, learning_rate, pruning_mode,
name=None
)
or by starting a new tr... | |
doc_18611 | Stop serving: close listening sockets and set the sockets attribute to None. The sockets that represent existing incoming client connections are left open. The server is closed asynchronously, use the wait_closed() coroutine to wait until the server is closed. | |
doc_18612 | Instantiates an HttpResponse object with the given page content, content type, and headers. content is most commonly an iterator, bytestring, memoryview, or string. Other types will be converted to a bytestring by encoding their string representation. Iterators should return strings or bytestrings and those will be joi... | |
doc_18613 |
Alias for get_linewidth. | |
doc_18614 | See Migration guide for more details. tf.compat.v1.linalg.slogdet
tf.linalg.slogdet(
input, name=None
)
one or more square matrices. The input is a tensor of shape [N, M, M] whose inner-most 2 dimensions form square matrices. The outputs are two tensors containing the signs and absolute values of the log determi... | |
doc_18615 | A dictionary containing all cookies. Keys and values are strings. | |
doc_18616 |
Unpacks elements of a uint8 array into a binary-valued output array. Each element of a represents a bit-field that should be unpacked into a binary-valued output array. The shape of the output array is either 1-D (if axis is None) or the same shape as the input array with unpacking done along the axis specified. Par... | |
doc_18617 | Returns the name assigned to the character chr as a string. If no name is defined, default is returned, or, if not given, ValueError is raised. | |
doc_18618 |
Return the product of the array elements over the given axis. Refer to prod for full documentation. See also
prod, ndarray.prod
Notes Same as ndarray.prod, except, where that returns an ndarray, this returns a matrix object instead. Examples >>> x = np.matrix(np.arange(12).reshape((3,4))); x
matrix([[ 0, 1, 2... | |
doc_18619 | The iterator class used to generate field choices from queryset. By default, ModelChoiceIterator. | |
doc_18620 | See Migration guide for more details. tf.compat.v1.nn.max_pool2d
tf.nn.max_pool2d(
input, ksize, strides, padding, data_format='NHWC', name=None
)
Args
input A 4-D Tensor of the format specified by data_format.
ksize An int or list of ints that has length 1, 2 or 4. The size of the window for each... | |
doc_18621 |
Name of the part, e.g. 'acute'. | |
doc_18622 | See Migration guide for more details. tf.compat.v1.raw_ops.DataFormatDimMap
tf.raw_ops.DataFormatDimMap(
x, src_format='NHWC', dst_format='NCHW', name=None
)
the source data format.
Args
x A Tensor. Must be one of the following types: int32, int64. A Tensor with each element as a dimension index in sour... | |
doc_18623 |
Set the edgecolor(s) of the collection. Parameters
ccolor or list of colors or 'face'
The collection edgecolor(s). If a sequence, the patches cycle through it. If 'face', match the facecolor. | |
doc_18624 |
The provided variance is the circular one. | |
doc_18625 |
A helper function for checkpointing sequential models. Sequential models execute a list of modules/functions in order (sequentially). Therefore, we can divide such a model in various segments and checkpoint each segment. All segments except the last will run in torch.no_grad() manner, i.e., not storing the intermedia... | |
doc_18626 | See torch.numel() | |
doc_18627 | exception http.cookiejar.LoadError
Instances of FileCookieJar raise this exception on failure to load cookies from a file. LoadError is a subclass of OSError. Changed in version 3.3: LoadError was made a subclass of OSError instead of IOError.
The following classes are provided:
class http.cookiejar.CookieJar(p... | |
doc_18628 | A structure that encapsulates information of a worker in the system. Contains the name and ID of the worker. This class is not meant to be constructed directly, rather, an instance can be retrieved through get_worker_info() and the result can be passed in to functions such as rpc_sync(), rpc_async(), remote() to avoid ... | |
doc_18629 |
Call self as a function. | |
doc_18630 |
Add a callback function that will be called whenever one of the Artist's properties changes. Parameters
funccallable
The callback function. It must have the signature: def func(artist: Artist) -> Any
where artist is the calling Artist. Return values may exist but are ignored. Returns
int
The observer id ... | |
doc_18631 | bytearray.isdigit()
Return True if all bytes in the sequence are ASCII decimal digits and the sequence is not empty, False otherwise. ASCII decimal digits are those byte values in the sequence b'0123456789'. For example: >>> b'1234'.isdigit()
True
>>> b'1.23'.isdigit()
False | |
doc_18632 | Examine the set of signals that are pending for delivery to the calling thread (i.e., the signals which have been raised while blocked). Return the set of the pending signals. Availability: Unix. See the man page sigpending(2) for further information. See also pause(), pthread_sigmask() and sigwait(). New in version 3... | |
doc_18633 | Returns a tensor with the same data and number of elements as input, but with the specified shape. When possible, the returned tensor will be a view of input. Otherwise, it will be a copy. Contiguous inputs and inputs with compatible strides can be reshaped without copying, but you should not depend on the copying vs. ... | |
doc_18634 | Returns the week for which this view will display data, as a string. Tries the following sources, in order: The value of the WeekMixin.week attribute. The value of the week argument captured in the URL pattern The value of the week GET query argument. Raises a 404 if no valid week specification can be found. | |
doc_18635 |
Construct a RcParams from file fname. Parameters
fnamestr or path-like
A file with Matplotlib rc settings.
fail_on_errorbool
If True, raise an error when the parser fails to convert a parameter.
use_default_templatebool
If True, initialize with default parameters before updating with those in the given ... | |
doc_18636 |
Set the left and bottom coordinates of the rectangle. Parameters
xy(float, float) | |
doc_18637 | Get the current coroutine origin tracking depth, as set by set_coroutine_origin_tracking_depth(). New in version 3.7. Note This function has been added on a provisional basis (see PEP 411 for details.) Use it only for debugging purposes. | |
doc_18638 |
Bases: threading.Thread This constructor should always be called with keyword arguments. Arguments are: group should be None; reserved for future extension when a ThreadGroup class is implemented. target is the callable object to be invoked by the run() method. Defaults to None, meaning nothing is called. name is the... | |
doc_18639 | See Migration guide for more details. tf.compat.v1.image.non_max_suppression_overlaps
tf.image.non_max_suppression_overlaps(
overlaps, scores, max_output_size, overlap_threshold=0.5,
score_threshold=float('-inf'), name=None
)
Prunes away boxes that have high overlap with previously selected boxes. N-by-n ove... | |
doc_18640 | tf.keras.applications.efficientnet.EfficientNetB1 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.EfficientNetB1, tf.compat.v1.keras.applications.efficientnet.EfficientNetB1
tf.keras.applications.EfficientNetB1(
include_top=True, weights='imagenet', input_tensor=... | |
doc_18641 |
Alias for get_linestyle. | |
doc_18642 | Encode the bytes-like object b using Ascii85 and return the encoded bytes. foldspaces is an optional flag that uses the special short sequence ‘y’ instead of 4 consecutive spaces (ASCII 0x20) as supported by ‘btoa’. This feature is not supported by the “standard” Ascii85 encoding. wrapcol controls whether the output sh... | |
doc_18643 |
Alias for get_facecolor. | |
doc_18644 | Note: tf.distribute.DistributedDataset instances are not of type tf.data.Dataset. It only supports two usages we will mention below: iteration and element_spec. We don't support any other APIs to transform or inspect the dataset.
There are two APIs to create a tf.distribute.DistributedDataset object: tf.distribute.Str... | |
doc_18645 | A read-only property. Points to the ContextVar object that created the token. | |
doc_18646 |
Compute the rbf (gaussian) kernel between X and Y: K(x, y) = exp(-gamma ||x-y||^2)
for each pair of rows x in X and y in Y. Read more in the User Guide. Parameters
Xndarray of shape (n_samples_X, n_features)
Yndarray of shape (n_samples_Y, n_features), default=None
gammafloat, default=None
If None, default... | |
doc_18647 | When True and used in a model which inherits from another concrete model, indicates that this field should be used as the link back to the parent class, rather than the extra OneToOneField which would normally be implicitly created by subclassing. | |
doc_18648 | This method returns the instance of TestResult used by run(). It is not intended to be called directly, but can be overridden in subclasses to provide a custom TestResult. _makeResult() instantiates the class or callable passed in the TextTestRunner constructor as the resultclass argument. It defaults to TextTestResult... | |
doc_18649 | tf.keras.layers.MaxPooling3D Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.layers.MaxPool3D, tf.compat.v1.keras.layers.MaxPooling3D
tf.keras.layers.MaxPool3D(
pool_size=(2, 2, 2), strides=None, padding='valid', data_format=None,
**kwargs
)
Arguments
pool_size ... | |
doc_18650 |
Return an IntervalArray identical to the current one, but closed on the specified side. Parameters
closed:{‘left’, ‘right’, ‘both’, ‘neither’}
Whether the intervals are closed on the left-side, right-side, both or neither. Returns
new_index:IntervalArray
Examples
>>> index = pd.arrays.IntervalArray.f... | |
doc_18651 | A ServerProxy instance is an object that manages communication with a remote XML-RPC server. The required first argument is a URI (Uniform Resource Indicator), and will normally be the URL of the server. The optional second argument is a transport factory instance; by default it is an internal SafeTransport instance fo... | |
doc_18652 | Parses an XML section from a string constant, and also returns a dictionary which maps from element id:s to elements. text is a string containing XML data. parser is an optional parser instance. If not given, the standard XMLParser parser is used. Returns a tuple containing an Element instance and a dictionary. | |
doc_18653 | See Migration guide for more details. tf.compat.v1.raw_ops.CropAndResize
tf.raw_ops.CropAndResize(
image, boxes, box_ind, crop_size, method='bilinear',
extrapolation_value=0, name=None
)
Extracts crops from the input image tensor and resizes them using bilinear sampling or nearest neighbor sampling (possibly... | |
doc_18654 |
Returns a human-readable printout of the running processes and their GPU memory use for a given device. This can be useful to display periodically during training, or when handling out-of-memory exceptions. Parameters
device (torch.device or int, optional) – selected device. Returns printout for the current device,... | |
doc_18655 | Returns a CommandParser instance, which is an ArgumentParser subclass with a few customizations for Django. You can customize the instance by overriding this method and calling super() with kwargs of ArgumentParser parameters. | |
doc_18656 | The TList widget can be used to display data in a tabular format. The list entries of a TList widget are similar to the entries in the Tk listbox widget. The main differences are (1) the TList widget can display the list entries in a two dimensional format and (2) you can use graphical images as well as multiple colors... | |
doc_18657 | Raised when a local or global name is not found. This applies only to unqualified names. The associated value is an error message that includes the name that could not be found. | |
doc_18658 | Like Accept but with normalization for language tags. | |
doc_18659 | >>> serializer = AccountSerializer()
>>> print(repr(serializer))
AccountSerializer():
id = IntegerField(label='ID', read_only=True)
name = CharField(allow_blank=True, max_length=100, required=False)
owner = PrimaryKeyRelatedField(queryset=User.objects.all())
API Reference In order to explain the various ty... | |
doc_18660 | Class implementing event objects. An event manages a flag that can be set to true with the set() method and reset to false with the clear() method. The wait() method blocks until the flag is true. The flag is initially false. Changed in version 3.3: changed from a factory function to a class.
is_set()
Return True... | |
doc_18661 |
Set the colormap for luminance data. Parameters
cmapColormap or str or None | |
doc_18662 |
Set or retrieve autoscaling margins. The padding added to each limit of the Axes is the margin times the data interval. All input parameters must be floats within the range [0, 1]. Passing both positional and keyword arguments is invalid and will raise a TypeError. If no arguments (positional or otherwise) are provid... | |
doc_18663 | Returns the current unpack position in the data buffer. | |
doc_18664 |
Place a legend on the figure. Call signatures: figlegend()
figlegend(handles, labels)
figlegend(handles=handles)
figlegend(labels)
The call signatures correspond to the following different ways to use this method: 1. Automatic detection of elements to be shown in the legend The elements to be added to the legend are... | |
doc_18665 | Returns the sign of the determinant of the Jacobian, if applicable. In general this only makes sense for bijective transforms. | |
doc_18666 |
Literal string representation. | |
doc_18667 | Sets all bits to 0 clear() -> None Sets all bits in the mask to 0.
Returns:
None
Return type:
NoneType | |
doc_18668 | In protocols 2 and newer, classes that implements the __getnewargs_ex__() method can dictate the values passed to the __new__() method upon unpickling. The method must return a pair (args, kwargs) where args is a tuple of positional arguments and kwargs a dictionary of named arguments for constructing the object. Those... | |
doc_18669 | The name of the cookie. | |
doc_18670 |
Return the transform to be applied to the Path from MarkerStyle.get_path(). | |
doc_18671 |
Create a twin Axes sharing the xaxis. Create a new Axes with an invisible x-axis and an independent y-axis positioned opposite to the original one (i.e. at right). The x-axis autoscale setting will be inherited from the original Axes. To ensure that the tick marks of both y-axes align, see LinearLocator. Returns
A... | |
doc_18672 |
Return the path of this patch. | |
doc_18673 |
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_18674 | sklearn.inspection.partial_dependence(estimator, X, features, *, response_method='auto', percentiles=0.05, 0.95, grid_resolution=100, method='auto', kind='legacy') [source]
Partial dependence of features. Partial dependence of a feature (or a set of features) corresponds to the average response of an estimator for ea... | |
doc_18675 | Returns a description of the test, or None if no description has been provided. The default implementation of this method returns the first line of the test method’s docstring, if available, or None. Changed in version 3.1: In 3.1 this was changed to add the test name to the short description even in the presence of a... | |
doc_18676 | See Migration guide for more details. tf.compat.v1.raw_ops.ExperimentalChooseFastestDataset
tf.raw_ops.ExperimentalChooseFastestDataset(
input_datasets, num_experiments, output_types, output_shapes, name=None
)
Args
input_datasets A list of at least 2 Tensor objects with type variant.
num_experiment... | |
doc_18677 | Return the public identifier for the current event. | |
doc_18678 | Start a TLS session on the active connection as specified in RFC 2595. This is only allowed before user authentication context parameter is a ssl.SSLContext object which allows bundling SSL configuration options, certificates and private keys into a single (potentially long-lived) structure. Please read Security consid... | |
doc_18679 | Returns number of audio frames. | |
doc_18680 | The Content-Encoding entity-header field is used as a modifier to the media-type. When present, its value indicates what additional content codings have been applied to the entity-body, and thus what decoding mechanisms must be applied in order to obtain the media-type referenced by the Content-Type header field. Chan... | |
doc_18681 |
Dictionary learning Finds a dictionary (a set of atoms) that can best be used to represent data using a sparse code. Solves the optimization problem: (U^*,V^*) = argmin 0.5 || X - U V ||_2^2 + alpha * || U ||_1
(U,V)
with || V_k ||_2 = 1 for all 0 <= k < n_components
Read more in the User Gu... | |
doc_18682 |
Predict regression target for X. The predicted regression target of an input sample is computed as the mean predicted regression targets of the trees in the forest. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The input samples. Internally, its dtype will be converted to dtype=np.flo... | |
doc_18683 |
Aggregate using one or more operations over the specified axis. Parameters
func:function, str, list or dict
Function to use for aggregating the data. If a function, must either work when passed a Series or when passed to Series.apply. Accepted combinations are: function string function name list of functions a... | |
doc_18684 |
Base class for all estimators in scikit-learn. Notes All estimators should specify all the parameters that can be set at the class level in their __init__ as explicit keyword arguments (no *args or **kwargs). Methods
get_params([deep]) Get parameters for this estimator.
set_params(**params) Set the parameters of ... | |
doc_18685 |
Set the hatching pattern hatch can be one of: / - diagonal hatching
\ - back diagonal
| - vertical
- - horizontal
+ - crossed
x - crossed diagonal
o - small circle
O - large circle
. - dots
* - stars
Letters can be combined, in which case all the specified hatchings are done. If same letter repea... | |
doc_18686 | Return the charset parameter of the Content-Type header, coerced to lower case. If there is no Content-Type header, or if that header has no charset parameter, failobj is returned. Note that this method differs from get_charset() which returns the Charset instance for the default encoding of the message body. | |
doc_18687 | See Migration guide for more details. tf.compat.v1.keras.preprocessing.text.text_to_word_sequence
tf.keras.preprocessing.text.text_to_word_sequence(
input_text,
filters='!"#$%&()*+,-./:;<=>?@[\\]^_`{|}~\t\n',
lower=True, split=' '
)
This function transforms a string of text into a list of words while ign... | |
doc_18688 | get the number of buttons on a Joystick get_numbuttons() -> int Returns the number of pushable buttons on the joystick. These buttons have a boolean (on or off) state. Buttons generate a pygame.JOYBUTTONDOWN and pygame.JOYBUTTONUP event when they are pressed and released. | |
doc_18689 | Unpacks and returns a variable length string. The length of the string is first unpacked as an unsigned integer, then the string data is unpacked with unpack_fstring(). | |
doc_18690 | returns a vector reflected of a given normal. reflect(Vector3) -> Vector3 Returns a new vector that points in the direction as if self would bounce of a surface characterized by the given surface normal. The length of the new vector is the same as self's. | |
doc_18691 | Concrete class for urlparse() results containing bytes data. The decode() method returns a ParseResult instance. New in version 3.2. | |
doc_18692 |
Select a font based on fontprop and return a name suitable for Op.selectfont. If fontprop is a string, it will be interpreted as the filename of the font. | |
doc_18693 | Execute callable(*args, **kwargs) code in the context object the run method is called on. Return the result of the execution or propagate an exception if one occurred. Any changes to any context variables that callable makes will be contained in the context object: var = ContextVar('var')
var.set('spam')
def main():
... | |
doc_18694 | Return True if this network is a supernet of other. >>> a = ip_network('192.168.1.0/24')
>>> b = ip_network('192.168.1.128/30')
>>> a.supernet_of(b)
True
New in version 3.7. | |
doc_18695 |
Change elements of an array based on conditional and input values. Similar to np.copyto(arr, vals, where=mask), the difference is that place uses the first N elements of vals, where N is the number of True values in mask, while copyto uses the elements where mask is True. Note that extract does the exact opposite of ... | |
doc_18696 |
For each element in self, return True if there are only decimal characters in the element. See also char.isdecimal | |
doc_18697 |
Set the offset of the container. Parameters
xy(float, float)
The (x, y) coordinates of the offset in display units. | |
doc_18698 | Return a string containing a brief description of how the ArgumentParser should be invoked on the command line. | |
doc_18699 | class sklearn.multiclass.OneVsOneClassifier(estimator, *, n_jobs=None) [source]
One-vs-one multiclass strategy This strategy consists in fitting one classifier per class pair. At prediction time, the class which received the most votes is selected. Since it requires to fit n_classes * (n_classes - 1) / 2 classifiers,... |
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