_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_19500 |
Return the month this Period falls on. | |
doc_19501 | tf.estimator.BaselineEstimator(
head, model_dir=None, optimizer='Ftrl', config=None
)
The estimator uses a user-specified head. This estimator ignores feature values and will learn to predict the average value of each label. E.g. for single-label classification problems, this will predict the probability distribut... | |
doc_19502 |
A pandas ExtensionArray for NumPy data. This is mostly for internal compatibility, and is not especially useful on its own. Parameters
values:ndarray
The NumPy ndarray to wrap. Must be 1-dimensional.
copy:bool, default False
Whether to copy values. Attributes
None Methods
None | |
doc_19503 |
Return the image extent as tuple (left, right, bottom, top). | |
doc_19504 | Unregisters the given model class (or iterable of classes). Raises django.contrib.admin.sites.NotRegistered if a model isn’t already registered. | |
doc_19505 | See Migration guide for more details. tf.compat.v1.raw_ops.SparseBincount
tf.raw_ops.SparseBincount(
indices, values, dense_shape, size, weights, binary_output=False, name=None
)
Outputs a vector with length size and the same dtype as weights. If weights are empty, then index i stores the number of times the val... | |
doc_19506 | See Migration guide for more details. tf.compat.v1.raw_ops.WriteSummary
tf.raw_ops.WriteSummary(
writer, step, tensor, tag, summary_metadata, name=None
)
Writes tensor at step with tag using summary writer.
Args
writer A Tensor of type resource.
step A Tensor of type int64.
tensor A Tensor. ... | |
doc_19507 |
Return boolean flag, True if artist is included in layout calculations. E.g. Constrained Layout Guide, Figure.tight_layout(), and fig.savefig(fname, bbox_inches='tight'). | |
doc_19508 | Return a new dict which maps field names to their corresponding values: >>> p = Point(x=11, y=22)
>>> p._asdict()
{'x': 11, 'y': 22}
Changed in version 3.1: Returns an OrderedDict instead of a regular dict. Changed in version 3.8: Returns a regular dict instead of an OrderedDict. As of Python 3.7, regular dicts are... | |
doc_19509 | Renders a response, providing the invalid form as context. | |
doc_19510 |
Return the image extent as tuple (left, right, bottom, top). | |
doc_19511 |
Return argument as a list of 1-d arrays. The returned list contains array(s) of dtype double, complex double, or object. A 1-d argument of shape (N,) is parsed into N arrays of size one; a 2-d argument of shape (M,N) is parsed into M arrays of size N (i.e., is “parsed by row”); and a higher dimensional array raises a... | |
doc_19512 | Test that first and second are not equal. If the values do compare equal, the test will fail. | |
doc_19513 | The class implementing primitive lock objects. Once a thread has acquired a lock, subsequent attempts to acquire it block, until it is released; any thread may release it. Note that Lock is actually a factory function which returns an instance of the most efficient version of the concrete Lock class that is supported b... | |
doc_19514 | Returns a new tensor with the square-root of the elements of input. outi=inputi\text{out}_{i} = \sqrt{\text{input}_{i}}
Parameters
input (Tensor) – the input tensor. Keyword Arguments
out (Tensor, optional) – the output tensor. Example: >>> a = torch.randn(4)
>>> a
tensor([-2.0755, 1.0226, 0.0831, 0.4806])
... | |
doc_19515 | crops a rectangle inside another clip(Rect) -> Rect Returns a new rectangle that is cropped to be completely inside the argument Rect. If the two rectangles do not overlap to begin with, a Rect with 0 size is returned. | |
doc_19516 | See Migration guide for more details. tf.compat.v1.raw_ops.DecodePng
tf.raw_ops.DecodePng(
contents, channels=0, dtype=tf.dtypes.uint8, name=None
)
The attr channels indicates the desired number of color channels for the decoded image. Accepted values are: 0: Use the number of channels in the PNG-encoded image.... | |
doc_19517 | os.RTLD_NOW
os.RTLD_GLOBAL
os.RTLD_LOCAL
os.RTLD_NODELETE
os.RTLD_NOLOAD
os.RTLD_DEEPBIND
Flags for use with the setdlopenflags() and getdlopenflags() functions. See the Unix manual page dlopen(3) for what the different flags mean. New in version 3.3. | |
doc_19518 |
Return time object with same time but with tzinfo=None. | |
doc_19519 |
Fit model on training data X. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
Training data.
yIgnored
Returns
selfobject
Returns the transformer object. | |
doc_19520 | tf.debugging.assert_greater_equal(
x, y, message=None, summarize=None, name=None
)
This Op checks that x[i] >= y[i] holds for every pair of (possibly broadcast) elements of x and y. If both x and y are empty, this is trivially satisfied. If x is not greater or equal to y element-wise, message, as well as the first... | |
doc_19521 |
Compile one or more dispatch-able sources and generates object files, also generates abstract C config headers and macros that used later for the final runtime dispatching process. The mechanism behind it is to takes each source file that specified in ‘sources’ and branching it into several files depend on special co... | |
doc_19522 | The binary format for plist files New in version 3.4. | |
doc_19523 | Parses an XML section into an element tree incrementally, and reports what’s going on to the user. source is a filename or file object containing XML data. events is a sequence of events to report back. The supported events are the strings "start", "end", "comment", "pi", "start-ns" and "end-ns" (the “ns” events are us... | |
doc_19524 |
Process a pick event. Each child artist will fire a pick event if mouseevent is over the artist and the artist has picker set. See also
set_picker, get_picker, pickable | |
doc_19525 |
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_19526 | >>> objects = ['john', 'paul', 'george', 'ringo']
>>> p = Paginator(objects, 2)
>>> p.count
4
>>> p.num_pages
2
>>> type(p.page_range)
<class 'range_iterator'>
>>> p.page_range
range(1, 3)
>>> page1 = p.page(1)
>>> page1
<Page 1 of 2>
>>> page1.object_list
['john', 'paul']
>>> page2 = p.page(2)
>>> page2.object_list... | |
doc_19527 |
Get Subtraction of dataframe and other, element-wise (binary operator rsub). Equivalent to other - dataframe, but with support to substitute a fill_value for missing data in one of the inputs. With reverse version, sub. Among flexible wrappers (add, sub, mul, div, mod, pow) to arithmetic operators: +, -, *, /, //, %,... | |
doc_19528 |
An AdaBoost regressor. An AdaBoost [1] regressor is a meta-estimator that begins by fitting a regressor on the original dataset and then fits additional copies of the regressor on the same dataset but where the weights of instances are adjusted according to the error of the current prediction. As such, subsequent reg... | |
doc_19529 |
The value of the stop parameter. | |
doc_19530 |
Draw samples from a von Mises distribution. Samples are drawn from a von Mises distribution with specified mode (mu) and dispersion (kappa), on the interval [-pi, pi]. The von Mises distribution (also known as the circular normal distribution) is a continuous probability distribution on the unit circle. It may be tho... | |
doc_19531 |
Change the base for labeling. Warning Should always match the base used for LogLocator | |
doc_19532 | See Migration guide for more details. tf.compat.v1.linalg.LinearOperatorIdentity
tf.linalg.LinearOperatorIdentity(
num_rows, batch_shape=None, dtype=None, is_non_singular=True,
is_self_adjoint=True, is_positive_definite=True, is_square=True,
assert_proper_shapes=False, name='LinearOperatorIdentity'
)
Thi... | |
doc_19533 | Deletes the cookie with the given key. Fails silently if the key doesn’t exist. Due to the way cookies work, path and domain should be the same values you used in set_cookie() – otherwise the cookie may not be deleted. | |
doc_19534 |
Scalar method identical to the corresponding array attribute. Please see ndarray.compress. | |
doc_19535 | class ast.YieldFrom(value)
A yield or yield from expression. Because these are expressions, they must be wrapped in a Expr node if the value sent back is not used. >>> print(ast.dump(ast.parse('yield x'), indent=4))
Module(
body=[
Expr(
value=Yield(
value=Name(id='x', ctx=Load(... | |
doc_19536 | tf.experimental.numpy.isreal(
x
)
See the NumPy documentation for numpy.isreal. | |
doc_19537 |
Bases: matplotlib.backend_bases.RendererBase draw_image(gc, x, y, im)[source]
Draw an RGBA image. Parameters
gcGraphicsContextBase
A graphics context with clipping information.
xscalar
The distance in physical units (i.e., dots or pixels) from the left hand side of the canvas.
yscalar
The distance i... | |
doc_19538 | An integer telling you how many times the mock object has been called: >>> mock = Mock(return_value=None)
>>> mock.call_count
0
>>> mock()
>>> mock()
>>> mock.call_count
2 | |
doc_19539 | See Migration guide for more details. tf.compat.v1.raw_ops.PrivateThreadPoolDataset
tf.raw_ops.PrivateThreadPoolDataset(
input_dataset, num_threads, output_types, output_shapes, name=None
)
Args
input_dataset A Tensor of type variant.
num_threads A Tensor of type int64. Identifies the number of th... | |
doc_19540 |
It is possible to load a library using >>> lib = ctypes.cdll[<full_path_name>]
But there are cross-platform considerations, such as library file extensions, plus the fact Windows will just load the first library it finds with that name. NumPy supplies the load_library function as a convenience. Changed in version ... | |
doc_19541 |
Call self as a function. | |
doc_19542 | Turns a Django template into something that is understood by xgettext. It does so by translating the Django translation tags into standard gettext function invocations. | |
doc_19543 |
Return boolean flag, True if artist is included in layout calculations. E.g. Constrained Layout Guide, Figure.tight_layout(), and fig.savefig(fname, bbox_inches='tight'). | |
doc_19544 | See Migration guide for more details. tf.compat.v1.estimator.FeedFnHook, tf.compat.v1.train.FeedFnHook
tf.estimator.FeedFnHook(
feed_fn
)
Args
feed_fn function that takes no arguments and returns dict of Tensor to feed. Methods after_create_session View source
after_create_session(
session, coor... | |
doc_19545 | Get the “inheritable” flag of the specified handle (a boolean). Availability: Windows. | |
doc_19546 |
Return the Figure instance the artist belongs to. | |
doc_19547 |
Set the locations of the ticks. This method is called before computing the tick labels because some formatters need to know all tick locations to do so. | |
doc_19548 | A processing class used to extract interactive examples from a string, and use them to create a DocTest object. DocTestParser defines the following methods:
get_doctest(string, globs, name, filename, lineno)
Extract all doctest examples from the given string, and collect them into a DocTest object. globs, name, fil... | |
doc_19549 | class torch.FloatStorage(*args, **kwargs) [source]
bfloat16()
Casts this storage to bfloat16 type
bool()
Casts this storage to bool type
byte()
Casts this storage to byte type
char()
Casts this storage to char type
clone()
Returns a copy of this storage
complex_double()
Casts this st... | |
doc_19550 |
Prefix labels with string prefix. For Series, the row labels are prefixed. For DataFrame, the column labels are prefixed. Parameters
prefix:str
The string to add before each label. Returns
Series or DataFrame
New Series or DataFrame with updated labels. See also Series.add_suffix
Suffix row labels ... | |
doc_19551 | Renders a given template, with the context containing parameters captured in the URL. Ancestors (MRO) This view inherits methods and attributes from the following views: django.views.generic.base.TemplateResponseMixin django.views.generic.base.ContextMixin django.views.generic.base.View Method Flowchart setup() disp... | |
doc_19552 |
True if this transform is separable in the x- and y- dimensions. | |
doc_19553 | Same as Element.findall(), starting at the root of the tree. | |
doc_19554 |
Bases: matplotlib.transforms.Affine2DBase A transform wrapper for transforming displacements between pairs of points. This class is intended to be used to transform displacements ("position deltas") between pairs of points (e.g., as the offset_transform of Collections): given a transform t such that t =
AffineDeltaTr... | |
doc_19555 |
Set whether the artist uses clipping. When False artists will be visible outside of the axes which can lead to unexpected results. Parameters
bbool | |
doc_19556 |
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_19557 |
Returns an array with the number of non-overlapping occurrences of substring sub in the range [start, end]. See also char.count | |
doc_19558 | tf.Variable(
initial_value=None, trainable=None, validate_shape=True, caching_device=None,
name=None, variable_def=None, dtype=None, import_scope=None, constraint=None,
synchronization=tf.VariableSynchronization.AUTO,
aggregation=tf.compat.v1.VariableAggregation.NONE, shape=None
)
A variable maintains ... | |
doc_19559 | Print the textual representation of the message object structure rooted at msg to the output file specified when the BytesGenerator instance was created. If the policy option cte_type is 8bit (the default), copy any headers in the original parsed message that have not been modified to the output with any bytes with the... | |
doc_19560 | See Migration guide for more details. tf.compat.v1.image.random_flip_left_right
tf.image.random_flip_left_right(
image, seed=None
)
With a 1 in 2 chance, outputs the contents of image flipped along the second dimension, which is width. Otherwise output the image as-is. When passing a batch of images, each image ... | |
doc_19561 | tf.compat.v1.strings.substr(
input, pos, len, name=None, unit='BYTE'
)
For each string in the input Tensor, creates a substring starting at index pos with a total length of len. If len defines a substring that would extend beyond the length of the input string, or if len is negative, then as many characters as pos... | |
doc_19562 |
Return the group id. | |
doc_19563 |
Return local maximum of an image. Parameters
image([P,] M, N) ndarray (uint8, uint16)
Input image.
selemndarray
The neighborhood expressed as an ndarray of 1’s and 0’s.
out([P,] M, N) array (same dtype as input)
If None, a new array is allocated.
maskndarray (integer or float), optional
Mask array t... | |
doc_19564 | The left-hand side - what is being looked up. The object typically follows the Query Expression API. It may also be a plain value. | |
doc_19565 |
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_19566 |
Compute tangent element-wise. Equivalent to np.sin(x)/np.cos(x) element-wise. Parameters
xarray_like
Input array.
outndarray, None, or tuple of ndarray and None, optional
A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a fr... | |
doc_19567 |
Bases: matplotlib.container.Container Container for the artists created in a Axes.stem() plot. The container can be treated like a namedtuple (markerline, stemlines,
baseline). Attributes
markerlineLine2D
The artist of the markers at the stem heads.
stemlineslist of Line2D
The artists of the vertical lines ... | |
doc_19568 | Register a codec search function. Search functions are expected to take one argument, being the encoding name in all lower case letters with hyphens and spaces converted to underscores, and return a CodecInfo object. In case a search function cannot find a given encoding, it should return None. Changed in version 3.9:... | |
doc_19569 | Running this command creates the target directory (creating any parent directories that don’t exist already) and places a pyvenv.cfg file in it with a home key pointing to the Python installation from which the command was run (a common name for the target directory is .venv). It also creates a bin (or Scripts on Wind... | |
doc_19570 | See Migration guide for more details. tf.compat.v1.sparse.expand_dims
tf.sparse.expand_dims(
sp_input, axis=None, name=None
)
Given a tensor input, this operation inserts a dimension of length 1 at the dimension index axis of input's shape. The dimension index follows python indexing rules: It's zero-based, a ne... | |
doc_19571 | binascii.a2b_uu(string)
Convert a single line of uuencoded data back to binary and return the binary data. Lines normally contain 45 (binary) bytes, except for the last line. Line data may be followed by whitespace.
binascii.b2a_uu(data, *, backtick=False)
Convert binary data to a line of ASCII characters, the ... | |
doc_19572 |
Set the (group) id for the artist. Parameters
gidstr | |
doc_19573 |
Set the agg filter. Parameters
filter_funccallable
A filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array. | |
doc_19574 | See Migration guide for more details. tf.compat.v1.keras.preprocessing.text.Tokenizer
tf.keras.preprocessing.text.Tokenizer(
num_words=None,
filters='!"#$%&()*+,-./:;<=>?@[\\]^_`{|}~\t\n',
lower=True, split=' ', char_level=False, oov_token=None,
document_count=0, **kwargs
)
This class allows to vecto... | |
doc_19575 | See Migration guide for more details. tf.compat.v1.raw_ops.Empty
tf.raw_ops.Empty(
shape, dtype, init=False, name=None
)
This operation creates a tensor of shape and dtype. Args: shape: A Tensor of type int32. 1-D. Represents the shape of the output tensor. dtype: A tf.DType. init: An optional bool. Defaults to ... | |
doc_19576 | Update the hash object with the bytes-like object. Repeated calls are equivalent to a single call with the concatenation of all the arguments: m.update(a); m.update(b) is equivalent to m.update(a+b). Changed in version 3.1: The Python GIL is released to allow other threads to run while hash updates on data larger than... | |
doc_19577 |
Called when this tool gets used. This method is called by ToolManager.trigger_tool. Parameters
eventEvent
The canvas event that caused this tool to be called.
senderobject
Object that requested the tool to be triggered.
dataobject
Extra data. | |
doc_19578 | A read-only property for the mode of a normal distribution. | |
doc_19579 |
Predict the target for the provided data Parameters
Xarray-like of shape (n_queries, n_features), or (n_queries, n_indexed) if metric == ‘precomputed’
Test samples. Returns
yndarray of shape (n_queries,) or (n_queries, n_outputs), dtype=double
Target values. | |
doc_19580 | Name of a model field which will be auto-populated with the height of the image each time the model instance is saved. | |
doc_19581 | Returns the minimum value of all elements in the input tensor. Warning This function produces deterministic (sub)gradients unlike min(dim=0) Parameters
input (Tensor) – the input tensor. Example: >>> a = torch.randn(1, 3)
>>> a
tensor([[ 0.6750, 1.0857, 1.7197]])
>>> torch.min(a)
tensor(0.6750)
torch.min(inp... | |
doc_19582 |
Set the snapping behavior. Snapping aligns positions with the pixel grid, which results in clearer images. For example, if a black line of 1px width was defined at a position in between two pixels, the resulting image would contain the interpolated value of that line in the pixel grid, which would be a grey value on ... | |
doc_19583 | See Migration guide for more details. tf.compat.v1.floordiv, tf.compat.v1.math.floordiv
tf.math.floordiv(
x, y, name=None
)
The same as tf.compat.v1.div(x,y) for integers, but uses tf.floor(tf.compat.v1.div(x,y)) for floating point arguments so that the result is always an integer (though possibly an integer rep... | |
doc_19584 | tf.compat.v1.nn.conv3d(
input, filter=None, strides=None, padding=None, data_format='NDHWC',
dilations=[1, 1, 1, 1, 1], name=None, filters=None
)
In signal processing, cross-correlation is a measure of similarity of two waveforms as a function of a time-lag applied to one of them. This is also known as a slidi... | |
doc_19585 | See Migration guide for more details. tf.compat.v1.sequence_mask
tf.sequence_mask(
lengths, maxlen=None, dtype=tf.dtypes.bool, name=None
)
If lengths has shape [d_1, d_2, ..., d_n] the resulting tensor mask has dtype dtype and shape [d_1, d_2, ..., d_n, maxlen], with mask[i_1, i_2, ..., i_n, j] = (j < lengths[i_... | |
doc_19586 |
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_19587 |
Set the view limits to the nearest multiples of base that contain the data. | |
doc_19588 |
Fit a Generalized Linear Model. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
Training data.
yarray-like of shape (n_samples,)
Target values.
sample_weightarray-like of shape (n_samples,), default=None
Sample weights. Returns
selfreturns an instance of self. | |
doc_19589 |
Pass the input through the encoder layer. Parameters
src – the sequence to the encoder layer (required).
src_mask – the mask for the src sequence (optional).
src_key_padding_mask – the mask for the src keys per batch (optional). Shape:
see the docs in Transformer class. | |
doc_19590 | Uses an incremental decoder to iteratively decode the input provided by iterator. This function is a generator. The errors argument (as well as any other keyword argument) is passed through to the incremental decoder. This function requires that the codec accept bytes objects to decode. Therefore it does not support te... | |
doc_19591 | True if the stream is closed. | |
doc_19592 | Get statistics about the SSL sessions created or managed by this context. A dictionary is returned which maps the names of each piece of information to their numeric values. For example, here is the total number of hits and misses in the session cache since the context was created: >>> stats = context.session_stats()
>... | |
doc_19593 |
Return a list of dictionaries of data which can be used to draw a series of violin plots. See the Returns section below to view the required keys of the dictionary. Users can skip this function and pass a user-defined set of dictionaries with the same keys to violinplot instead of using Matplotlib to do the calculati... | |
doc_19594 | Get the maximum priority value for policy. policy is one of the scheduling policy constants above. | |
doc_19595 | class reprlib.Repr
Class which provides formatting services useful in implementing functions similar to the built-in repr(); size limits for different object types are added to avoid the generation of representations which are excessively long.
reprlib.aRepr
This is an instance of Repr which is used to provide ... | |
doc_19596 |
Return whether the artist uses clipping. | |
doc_19597 |
Auto-level image using local histogram. This filter locally stretches the histogram of gray values to cover the entire range of values from “white” to “black”. Parameters
image([P,] M, N) ndarray (uint8, uint16)
Input image.
selemndarray
The neighborhood expressed as an ndarray of 1’s and 0’s.
out([P,] M,... | |
doc_19598 | The ComboBox widget is similar to the combo box control in MS Windows. The user can select a choice by either typing in the entry subwidget or selecting from the listbox subwidget. | |
doc_19599 |
Returns the score using the scoring option on the given test data and labels. Parameters
Xarray-like of shape (n_samples, n_features)
Test samples.
yarray-like of shape (n_samples,)
True labels for X.
sample_weightarray-like of shape (n_samples,), default=None
Sample weights. Returns
scorefloat
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.