_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_28800 |
Dump a pickle of the array to the specified file. The array can be read back with pickle.load or numpy.load. Parameters
filestr or Path
A string naming the dump file. Changed in version 1.17.0: pathlib.Path objects are now accepted. | |
doc_28801 |
Add widget to plugin. Alternatively, Plugin’s __add__ method is overloaded to add widgets: plugin += Widget(...)
Widgets can adjust required or optional arguments of filter function or parameters for the plugin. This is specified by the Widget’s ptype. | |
doc_28802 |
Return unbiased skew over requested axis. Normalized by N-1. Parameters
axis:{index (0), columns (1)}
Axis for the function to be applied on.
skipna:bool, default True
Exclude NA/null values when computing the result.
level:int or level name, default None
If the axis is a MultiIndex (hierarchical), coun... | |
doc_28803 | See Migration guide for more details. tf.compat.v1.FixedLenSequenceFeature, tf.compat.v1.io.FixedLenSequenceFeature
tf.io.FixedLenSequenceFeature(
shape, dtype, allow_missing=False, default_value=None
)
The resulting Tensor of parsing a single SequenceExample or Example has a static shape of [None] + shape and t... | |
doc_28804 |
Linear classifiers (SVM, logistic regression, etc.) with SGD training. This estimator implements regularized linear models with stochastic gradient descent (SGD) learning: the gradient of the loss is estimated each sample at a time and the model is updated along the way with a decreasing strength schedule (aka learni... | |
doc_28805 | Logs a message with level DEBUG on the root logger. The msg is the message format string, and the args are the arguments which are merged into msg using the string formatting operator. (Note that this means that you can use keywords in the format string, together with a single dictionary argument.) There are three keyw... | |
doc_28806 | Return True for ignorable characters. The character ch is ignorable if ch is a space or tab, otherwise it is not ignorable. Used as a default for parameter charjunk in ndiff(). | |
doc_28807 |
Return the canvas width and height in display coords. | |
doc_28808 |
Parameters
position{'left', 'right'} | |
doc_28809 | The native integral thread ID of this thread. This is a non-negative integer, or None if the thread has not been started. See the get_native_id() function. This represents the Thread ID (TID) as assigned to the thread by the OS (kernel). Its value may be used to uniquely identify this particular thread system-wide (unt... | |
doc_28810 | Join the background thread. This can only be used after close() has been called. It blocks until the background thread exits, ensuring that all data in the buffer has been flushed to the pipe. By default if a process is not the creator of the queue then on exit it will attempt to join the queue’s background thread. The... | |
doc_28811 |
Return a fixed frequency DatetimeIndex. Returns the range of equally spaced time points (where the difference between any two adjacent points is specified by the given frequency) such that they all satisfy start <[=] x <[=] end, where the first one and the last one are, resp., the first and last time points in that r... | |
doc_28812 |
Return a (tight) bounding box of the figure in inches. Note that FigureBase differs from all other artists, which return their Bbox in pixels. Artists that have artist.set_in_layout(False) are not included in the bbox. Parameters
rendererRendererBase subclass
renderer that will be used to draw the figures (i.e.... | |
doc_28813 | See Migration guide for more details. tf.compat.v1.raw_ops.StringLength
tf.raw_ops.StringLength(
input, unit='BYTE', name=None
)
Computes the length of each string given in the input tensor.
strings = tf.constant(['Hello','TensorFlow', '\U0001F642'])
tf.strings.length(strings).numpy() # default counts bytes
arr... | |
doc_28814 | Get the memory usage in bytes of the tracemalloc module used to store traces of memory blocks. Return an int. | |
doc_28815 | sklearn.metrics.consensus_score(a, b, *, similarity='jaccard') [source]
The similarity of two sets of biclusters. Similarity between individual biclusters is computed. Then the best matching between sets is found using the Hungarian algorithm. The final score is the sum of similarities divided by the size of the larg... | |
doc_28816 |
Scanned page. This image of printed text is useful for demonstrations requiring uneven background illumination. Returns
page(191, 384) uint8 ndarray
Page image. | |
doc_28817 | The name that will be used by default for the relation from a related object back to this one. The default is <model_name>_set. This option also sets related_query_name. As the reverse name for a field should be unique, be careful if you intend to subclass your model. To work around name collisions, part of the name sh... | |
doc_28818 | Alias for torch.asinh(). | |
doc_28819 | See torch.argmin() | |
doc_28820 |
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_28821 |
An N-dimensional tuple of current coordinates. Examples >>> x = np.arange(6).reshape(2, 3)
>>> fl = x.flat
>>> fl.coords
(0, 0)
>>> next(fl)
0
>>> fl.coords
(0, 1) | |
doc_28822 | Statistic on memory allocations. Snapshot.statistics() returns a list of Statistic instances. See also the StatisticDiff class.
count
Number of memory blocks (int).
size
Total size of memory blocks in bytes (int).
traceback
Traceback where the memory block was allocated, Traceback instance. | |
doc_28823 | Represents a parsed URL. This behaves like a regular tuple but also has some extra attributes that give further insight into the URL. Create new instance of _URLTuple(scheme, netloc, path, query, fragment) Parameters
scheme (str) –
netloc (str) –
path (str) –
query (str) –
fragment (str) –
encode(char... | |
doc_28824 |
Add a toolitem to the container. This method must be implemented per backend. The callback associated with the button click event, must be exactly self.trigger_tool(name). Parameters
namestr
Name of the tool to add, this gets used as the tool's ID and as the default label of the buttons.
groupstr
Name of th... | |
doc_28825 | Module containing the models, e.g. <module 'django.contrib.admin.models'
from 'django/contrib/admin/models.py'>. It may be None if the application doesn’t contain a models module. Note that the database related signals such as pre_migrate and post_migrate are only emitted for applications that have a models module. | |
doc_28826 |
Scalar method identical to the corresponding array attribute. Please see ndarray.byteswap. | |
doc_28827 | class sklearn.dummy.DummyClassifier(*, strategy='prior', random_state=None, constant=None) [source]
DummyClassifier is a classifier that makes predictions using simple rules. This classifier is useful as a simple baseline to compare with other (real) classifiers. Do not use it for real problems. Read more in the User... | |
doc_28828 | Finder for modules declared in the Windows registry. This class implements the importlib.abc.MetaPathFinder ABC. Only class methods are defined by this class to alleviate the need for instantiation. New in version 3.3. Deprecated since version 3.6: Use site configuration instead. Future versions of Python may not en... | |
doc_28829 |
Set the zorder for the artist. Artists with lower zorder values are drawn first. Parameters
levelfloat | |
doc_28830 |
Bases: tuple Represents the information on a composite element of a composite char. Create new instance of CompositePart(name, dx, dy) dx
x-displacement of the part from the origin.
dy
y-displacement of the part from the origin.
name
Name of the part, e.g. 'acute'. | |
doc_28831 | Alias for torch.div(). | |
doc_28832 |
The nanoseconds of the datetime. Examples
>>> datetime_series = pd.Series(
... pd.date_range("2000-01-01", periods=3, freq="ns")
... )
>>> datetime_series
0 2000-01-01 00:00:00.000000000
1 2000-01-01 00:00:00.000000001
2 2000-01-01 00:00:00.000000002
dtype: datetime64[ns]
>>> datetime_series.dt.nanosecond
... | |
doc_28833 |
Check whether the provided array or dtype is of an integer dtype. Unlike in is_any_int_dtype, timedelta64 instances will return False. The nullable Integer dtypes (e.g. pandas.Int64Dtype) are also considered as integer by this function. Parameters
arr_or_dtype:array-like or dtype
The array or dtype to check. ... | |
doc_28834 | tf.compat.v1.profiler.write_op_log(
graph, log_dir, op_log=None, run_meta=None, add_trace=True
)
The API also assigns ops in tf.compat.v1.trainable_variables() an op type called '_trainable_variables'. The API also logs 'flops' statistics for ops with op.RegisterStatistics() defined. flops calculation depends on T... | |
doc_28835 |
Return whether the artist uses clipping. | |
doc_28836 | Alias to SIGCHLD. | |
doc_28837 |
Fill NaN values using an interpolation method. Please note that only method='linear' is supported for DataFrame/Series with a MultiIndex. Parameters
method:str, default ‘linear’
Interpolation technique to use. One of: ‘linear’: Ignore the index and treat the values as equally spaced. This is the only method su... | |
doc_28838 |
Reverse the transformation operation Parameters
Xarray of shape [n_samples, n_selected_features]
The input samples. Returns
X_rarray of shape [n_samples, n_original_features]
X with columns of zeros inserted where features would have been removed by transform. | |
doc_28839 |
Set the Figure instance the artist belongs to. Parameters
figFigure | |
doc_28840 | Returns the maximum number of extra inline forms to use. By default, returns the InlineModelAdmin.max_num attribute. Override this method to programmatically determine the maximum number of inline forms. For example, this may be based on the model instance (passed as the keyword argument obj): class BinaryTreeAdmin(adm... | |
doc_28841 | See Migration guide for more details. tf.compat.v1.raw_ops.IteratorGetNext
tf.raw_ops.IteratorGetNext(
iterator, output_types, output_shapes, name=None
)
Args
iterator A Tensor of type resource.
output_types A list of tf.DTypes that has length >= 1.
output_shapes A list of shapes (each a tf.... | |
doc_28842 | Do not dump the file. | |
doc_28843 |
Return the current callback function used on floating-point errors. When the error handling for a floating-point error (one of “divide”, “over”, “under”, or “invalid”) is set to ‘call’ or ‘log’, the function that is called or the log instance that is written to is returned by geterrcall. This function or log instance... | |
doc_28844 | Return the current state of the decoder. This must be a tuple with two items, the first must be the buffer containing the still undecoded input. The second must be an integer and can be additional state info. (The implementation should make sure that 0 is the most common additional state info.) If this additional state... | |
doc_28845 |
Set the Figure instance the artist belongs to. Parameters
figFigure | |
doc_28846 | This read-only attribute provides the column names of the last query. To remain compatible with the Python DB API, it returns a 7-tuple for each column where the last six items of each tuple are None. It is set for SELECT statements without any matching rows as well. | |
doc_28847 | Return the index of the first of occurrence of b in a. | |
doc_28848 | The method the request was made with, such as GET. | |
doc_28849 |
Predict class for X. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The input samples. Internally, it will be converted to dtype=np.float32 and if a sparse matrix is provided to a sparse csr_matrix. Returns
yndarray of shape (n_samples,)
The predicted values. | |
doc_28850 |
Read-only name identifying the axis. | |
doc_28851 | class socketserver.ThreadingMixIn
Forking and threading versions of each type of server can be created using these mix-in classes. For instance, ThreadingUDPServer is created as follows: class ThreadingUDPServer(ThreadingMixIn, UDPServer):
pass
The mix-in class comes first, since it overrides a method defined in... | |
doc_28852 | Set the transparent colorkey set_colorkey(Color, flags=0) -> None set_colorkey(None) -> None Set the current color key for the Surface. When blitting this Surface onto a destination, any pixels that have the same color as the colorkey will be transparent. The color can be an RGB color or a mapped color integer. If No... | |
doc_28853 | Flag indicating whether to print only the filenames of files containing whitespace related problems. This is set to true by the -q option if called as a script. | |
doc_28854 |
Return str(self). | |
doc_28855 | A valid email address. By default Django uses the DEFAULT_FROM_EMAIL. | |
doc_28856 | Sets the system identifier of this InputSource. | |
doc_28857 | class graphlib.TopologicalSorter(graph=None)
Provides functionality to topologically sort a graph of hashable nodes. A topological order is a linear ordering of the vertices in a graph such that for every directed edge u -> v from vertex u to vertex v, vertex u comes before vertex v in the ordering. For instance, the... | |
doc_28858 |
Return the current hatching pattern. | |
doc_28859 | Construct a new Decimal object based from value. value can be an integer, string, tuple, float, or another Decimal object. If no value is given, returns Decimal('0'). If value is a string, it should conform to the decimal numeric string syntax after leading and trailing whitespace characters, as well as underscores thr... | |
doc_28860 | Return the message’s main content type. This is the maintype part of the string returned by get_content_type(). | |
doc_28861 | Set to os.getcwd(). | |
doc_28862 | This is the default backend. Email will be sent through a SMTP server. The value for each argument is retrieved from the matching setting if the argument is None:
host: EMAIL_HOST
port: EMAIL_PORT
username: EMAIL_HOST_USER
password: EMAIL_HOST_PASSWORD
use_tls: EMAIL_USE_TLS
use_ssl: EMAIL_USE_SSL
timeout... | |
doc_28863 | Return True if the queue is empty, False otherwise. Because of multithreading/multiprocessing semantics, this is not reliable. | |
doc_28864 |
Alias for set_linestyle. | |
doc_28865 | See Migration guide for more details. tf.compat.v1.make_ndarray
tf.make_ndarray(
tensor
)
Create a numpy ndarray with the same shape and data as the tensor. For example: # Tensor a has shape (2,3)
a = tf.constant([[1,2,3],[4,5,6]])
proto_tensor = tf.make_tensor_proto(a) # convert `tensor a` to a proto tensor
tf... | |
doc_28866 |
Bases: matplotlib.patches._Style ConnectionStyle is a container class which defines several connectionstyle classes, which is used to create a path between two points. These are mainly used with FancyArrowPatch. A connectionstyle object can be either created as: ConnectionStyle.Arc3(rad=0.2)
or: ConnectionStyle("Arc... | |
doc_28867 | A RegexValidator instance that ensures a value consists of only letters, numbers, underscores or hyphens. | |
doc_28868 |
Set multiple properties at once. Supported properties are
Property Description
agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array
alpha scalar or None
animated bool
clip_box Bbox
clip_on bool
clip_path Patch or (Path, Transform) or None
e... | |
doc_28869 |
Blit the canvas in bbox (default entire canvas). | |
doc_28870 |
Find good place to draw a label (relatively flat part of the contour). | |
doc_28871 | The loader which loaded the module. Defaults to None. This attribute is to match importlib.machinery.ModuleSpec.loader as stored in the attr:__spec__ object. Note A future version of Python may stop setting this attribute by default. To guard against this potential change, preferrably read from the __spec__ attribute ... | |
doc_28872 | tf.keras.losses.kl_divergence, tf.keras.losses.kld, tf.keras.losses.kullback_leibler_divergence, tf.keras.metrics.KLD, tf.keras.metrics.kl_divergence, tf.keras.metrics.kld, tf.keras.metrics.kullback_leibler_divergence, tf.losses.KLD, tf.losses.kl_divergence, tf.losses.kld, tf.losses.kullback_leibler_divergence, tf.metr... | |
doc_28873 | The node that immediately precedes this one with the same parent. For instance the element with an end-tag that comes just before the self element’s start-tag. Of course, XML documents are made up of more than just elements so the previous sibling could be text, a comment, or something else. If this node is the first c... | |
doc_28874 |
Load an SPSS file from the file path, returning a DataFrame. New in version 0.25.0. Parameters
path:str or Path
File path.
usecols:list-like, optional
Return a subset of the columns. If None, return all columns.
convert_categoricals:bool, default is True
Convert categorical columns into pd.Categorical... | |
doc_28875 | tf.compat.v1.losses.get_losses(
scope=None, loss_collection=tf.GraphKeys.LOSSES
)
Args
scope An optional scope name for filtering the losses to return.
loss_collection Optional losses collection.
Returns a list of loss tensors. | |
doc_28876 |
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_28877 |
See torch.stft() Warning This function changed signature at version 0.4.1. Calling with the previous signature may cause error or return incorrect result. | |
doc_28878 | select_template() is just like get_template(), except it takes a list of template names. It tries each name in order and returns the first template that exists. | |
doc_28879 | Alias for torch.atanh(). | |
doc_28880 |
Convert bytes in the encoding used by a subprocess into a filesystem-appropriate str. Inherited from exec_command, and possibly incorrect. | |
doc_28881 | See Migration guide for more details. tf.compat.v1.raw_ops.NonMaxSuppressionWithOverlaps
tf.raw_ops.NonMaxSuppressionWithOverlaps(
overlaps, scores, max_output_size, overlap_threshold, score_threshold, name=None
)
pruning away boxes that have high overlaps with previously selected boxes. Bounding boxes with scor... | |
doc_28882 |
Define how the connection between two line segments is drawn. For a visual impression of each JoinStyle, view these docs online, or run JoinStyle.demo. Lines in Matplotlib are typically defined by a 1D Path and a finite linewidth, where the underlying 1D Path represents the center of the stroked line. By default, Gra... | |
doc_28883 |
Dequantizes an incoming tensor Examples::
>>> input = torch.tensor([[1., -1.], [1., -1.]])
>>> scale, zero_point, dtype = 1.0, 2, torch.qint8
>>> qm = Quantize(scale, zero_point, dtype)
>>> quantized_input = qm(input)
>>> dqm = DeQuantize()
>>> dequantized = dqm(quantized_input)
>>> print(dequantized)
tensor([[ 1.,... | |
doc_28884 |
Return the bottom coord of the rectangle. | |
doc_28885 | tf.summary.experimental.set_step(
step
)
For convenience, this function sets a default value for the step parameter used in summary-writing functions elsewhere in the API so that it need not be explicitly passed in every such invocation. The value can be a constant or a variable, and can be retrieved via tf.summar... | |
doc_28886 | If there is no certificate for the peer on the other end of the connection, return None. If the SSL handshake hasn’t been done yet, raise ValueError. If the binary_form parameter is False, and a certificate was received from the peer, this method returns a dict instance. If the certificate was not validated, the dict i... | |
doc_28887 | See Migration guide for more details. tf.compat.v1.raw_ops.DenseToCSRSparseMatrix
tf.raw_ops.DenseToCSRSparseMatrix(
dense_input, indices, name=None
)
Args
dense_input A Tensor. Must be one of the following types: float32, float64, complex64, complex128. A Dense tensor.
indices A Tensor of type in... | |
doc_28888 | tf.compat.v1.disable_eager_execution()
This function can only be called before any Graphs, Ops, or Tensors have been created. It can be used at the beginning of the program for complex migration projects from TensorFlow 1.x to 2.x. | |
doc_28889 |
Generate random samples from the model. Currently, this is implemented only for gaussian and tophat kernels. Parameters
n_samplesint, default=1
Number of samples to generate.
random_stateint, RandomState instance or None, default=None
Determines random number generation used to generate random samples. Pass... | |
doc_28890 | See Migration guide for more details. tf.compat.v1.raw_ops.DirectedInterleaveDataset
tf.raw_ops.DirectedInterleaveDataset(
selector_input_dataset, data_input_datasets, output_types, output_shapes,
name=None
)
Args
selector_input_dataset A Tensor of type variant. A dataset of scalar DT_INT64 elements... | |
doc_28891 |
Return whether the artist uses clipping. | |
doc_28892 | A hook allowing the expression to coerce value into a more appropriate type. expression is the same as self. | |
doc_28893 | andrews_curves(frame, class_column[, ax, ...]) Generate a matplotlib plot of Andrews curves, for visualising clusters of multivariate data.
autocorrelation_plot(series[, ax]) Autocorrelation plot for time series.
bootstrap_plot(series[, fig, size, samples]) Bootstrap plot on mean, median and mid-range statistics. ... | |
doc_28894 | turns a midi note off (note must be on) note_off(note, velocity=None, channel=0) -> None Turn a note off in the output stream. The note must already be on for this to work correctly. | |
doc_28895 | Load MIME information from a file named filename. This uses readfp() to parse the file. If strict is True, information will be added to list of standard types, else to the list of non-standard types. | |
doc_28896 | Token value for "*". | |
doc_28897 | DistanceMetric class This class provides a uniform interface to fast distance metric functions. The various metrics can be accessed via the get_metric class method and the metric string identifier (see below). Examples >>> from sklearn.neighbors import DistanceMetric
>>> dist = DistanceMetric.get_metric('euclidean')
>>... | |
doc_28898 |
Rename categories. Parameters
new_categories:list-like, dict-like or callable
New categories which will replace old categories. list-like: all items must be unique and the number of items in the new categories must match the existing number of categories. dict-like: specifies a mapping from old categories to n... | |
doc_28899 |
Packs a Tensor containing padded sequences of variable length. input can be of size T x B x * where T is the length of the longest sequence (equal to lengths[0]), B is the batch size, and * is any number of dimensions (including 0). If batch_first is True, B x T x * input is expected. For unsorted sequences, use enfo... |
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