_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_26000 |
Returns the maximum GPU memory managed by the caching allocator in bytes for a given device. By default, this returns the peak cached memory since the beginning of this program. reset_peak_stats() can be used to reset the starting point in tracking this metric. For example, these two functions can measure the peak ca... | |
doc_26001 | Resizes the map and the underlying file, if any. If the mmap was created with ACCESS_READ or ACCESS_COPY, resizing the map will raise a TypeError exception. | |
doc_26002 | An entity reference contained another reference to the same entity; possibly via a different name, and possibly indirectly. | |
doc_26003 |
Fill the area between two vertical curves. The curves are defined by the points (y, x1) and (y, x2). This creates one or multiple polygons describing the filled area. You may exclude some vertical sections from filling using where. By default, the edges connect the given points directly. Use step if the filling shoul... | |
doc_26004 | tf.test.compute_gradient(
f, x, delta=0.001
)
With y = f(x), computes the theoretical and numeric Jacobian dy/dx.
Args
f the function.
x the arguments for the function as a list or tuple of values convertible to a Tensor.
delta (optional) perturbation used to compute numeric Jacobian.
... | |
doc_26005 | Override to construct the dialog’s interface and return the widget that should have initial focus. | |
doc_26006 | See Migration guide for more details. tf.compat.v1.raw_ops.EnsureShape
tf.raw_ops.EnsureShape(
input, shape, name=None
)
Raises an error if the input tensor's shape does not match the specified shape. Returns the input tensor otherwise.
Args
input A Tensor. A tensor, whose shape is to be validated.
... | |
doc_26007 |
Plot a set of filled voxels All voxels are plotted as 1x1x1 cubes on the axis, with filled[0, 0, 0] placed with its lower corner at the origin. Occluded faces are not plotted. Parameters
filled3D np.array of bool
A 3D array of values, with truthy values indicating which voxels to fill
x, y, z3D np.array, opti... | |
doc_26008 | See Migration guide for more details. tf.compat.v1.nn.collapse_repeated
tf.nn.collapse_repeated(
labels, seq_length, name=None
)
Args
labels Tensor of shape [batch, max value in seq_length]
seq_length Tensor of shape [batch], sequence length of each batch element.
name A name for this Op. De... | |
doc_26009 | This function is analogous to getgeneratorlocals(), but works for coroutine objects created by async def functions. New in version 3.5. | |
doc_26010 | Returns the WKB (Well-Known Binary) representation of this Geometry as a Python buffer. SRID value is not included, use the GEOSGeometry.ewkb property instead. | |
doc_26011 | Decodes the URL to a tuple made out of strings. The charset is only being used for the path, query and fragment. Parameters
charset (str) –
errors (str) – Return type
werkzeug.urls.URL | |
doc_26012 | A list of logging.LogRecord objects of the matching log messages. | |
doc_26013 |
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_26014 |
Reduce X to the selected features. Parameters
Xarray of shape [n_samples, n_features]
The input samples. Returns
X_rarray of shape [n_samples, n_selected_features]
The input samples with only the selected features. | |
doc_26015 |
Set StepPatch values, edges and baseline. Parameters
values1D array-like or None
Will not update values, if passing None
edges1D array-like, optional
baselinefloat, 1D array-like or None | |
doc_26016 |
The last colorbar associated with this ScalarMappable. May be None. | |
doc_26017 |
A torch.nn.Conv1d module with lazy initialization of the in_channels argument of the Conv1d that is inferred from the input.size(1). Parameters
out_channels (int) – Number of channels produced by the convolution
kernel_size (int or tuple) – Size of the convolving kernel
stride (int or tuple, optional) – Stride ... | |
doc_26018 |
Set the colormap to 'hot'. This changes the default colormap as well as the colormap of the current image if there is one. See help(colormaps) for more information. | |
doc_26019 |
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_26020 |
The torch.quasirandom.SobolEngine is an engine for generating (scrambled) Sobol sequences. Sobol sequences are an example of low discrepancy quasi-random sequences. This implementation of an engine for Sobol sequences is capable of sampling sequences up to a maximum dimension of 21201. It uses direction numbers from ... | |
doc_26021 | sklearn.metrics.pairwise_distances_argmin_min(X, Y, *, axis=1, metric='euclidean', metric_kwargs=None) [source]
Compute minimum distances between one point and a set of points. This function computes for each row in X, the index of the row of Y which is closest (according to the specified distance). The minimal dista... | |
doc_26022 |
Set the text value of the axis label. Parameters
labelstr
Text string.
fontdictdict
Text properties. **kwargs
Merged into fontdict. | |
doc_26023 |
Return (x1 > x2) element-wise. Unlike numpy.greater, this comparison is performed by first stripping whitespace characters from the end of the string. This behavior is provided for backward-compatibility with numarray. Parameters
x1, x2array_like of str or unicode
Input arrays of the same shape. Returns
o... | |
doc_26024 |
Remove a click (by default, the last) from the list of clicks. Parameters
eventMouseEvent | |
doc_26025 |
Calculate the rolling rank. New in version 1.4.0. Parameters
method:{‘average’, ‘min’, ‘max’}, default ‘average’
How to rank the group of records that have the same value (i.e. ties): average: average rank of the group min: lowest rank in the group max: highest rank in the group
ascending:bool, default Tr... | |
doc_26026 | The binary data encapsulated by the Binary instance. The data is provided as a bytes object. | |
doc_26027 |
Returns the id for the new node to be inserted. The current implementation returns one more than the maximum id. Returns
idint
The id of the new node to be inserted. | |
doc_26028 |
Return the imaginary part of the complex argument. Parameters
valarray_like
Input array. Returns
outndarray or scalar
The imaginary component of the complex argument. If val is real, the type of val is used for the output. If val has complex elements, the returned type is float. See also
real, an... | |
doc_26029 | tf.compat.v1.enable_v2_tensorshape()
This enables the new behavior. Concretely, tensor_shape[i] returned a Dimension instance in V1, but it V2 it returns either an integer, or None. Examples: #######################
# If you had this in V1:
value = tensor_shape[i].value
# Do this in V2 instead:
value = tensor_shape[i... | |
doc_26030 | class torch.futures.Future
Wrapper around a torch._C.Future which encapsulates an asynchronous execution of a callable, e.g. rpc_async(). It also exposes a set of APIs to add callback functions and set results.
add_done_callback(self: torch._C.Future, arg0: function) → None
done() [source]
Return True if this... | |
doc_26031 |
Return the artist's zorder. | |
doc_26032 | A base class that provides default implementations for all required methods. By default, it will reject any user and provide no permissions.
get_user_permissions(user_obj, obj=None)
Returns an empty set.
get_group_permissions(user_obj, obj=None)
Returns an empty set.
get_all_permissions(user_obj, obj=None... | |
doc_26033 | The URL to redirect to after logout. Defaults to LOGOUT_REDIRECT_URL. | |
doc_26034 |
Perform clustering on X and returns cluster labels. Parameters
Xarray-like of shape (n_samples, n_features)
Input data.
yIgnored
Not used, present for API consistency by convention. Returns
labelsndarray of shape (n_samples,), dtype=np.int64
Cluster labels. | |
doc_26035 | class xml.sax.xmlreader.XMLReader
Base class which can be inherited by SAX parsers.
class xml.sax.xmlreader.IncrementalParser
In some cases, it is desirable not to parse an input source at once, but to feed chunks of the document as they get available. Note that the reader will normally not read the entire file... | |
doc_26036 |
Generate a HermiteE series with given roots. The function returns the coefficients of the polynomial \[p(x) = (x - r_0) * (x - r_1) * ... * (x - r_n),\] in HermiteE form, where the r_n are the roots specified in roots. If a zero has multiplicity n, then it must appear in roots n times. For instance, if 2 is a root o... | |
doc_26037 |
Calculate the rolling weighted window variance. New in version 1.0.0. Parameters
**kwargs
Keyword arguments to configure the SciPy weighted window type. Returns
Series or DataFrame
Return type is the same as the original object with np.float64 dtype. See also pandas.Series.rolling
Calling rolling w... | |
doc_26038 | A named tuple holding information about the float type. It contains low level information about the precision and internal representation. The values correspond to the various floating-point constants defined in the standard header file float.h for the ‘C’ programming language; see section 5.2.4.2.2 of the 1999 ISO/IEC... | |
doc_26039 |
Transform data back to its original space. Parameters
Xarray-like of shape (n_samples, n_components)
New data, where n_samples is the number of samples and n_components is the number of pls components. Returns
x_reconstructedarray-like of shape (n_samples, n_features)
Notes This transformation will on... | |
doc_26040 |
Return the url. | |
doc_26041 |
Learn empirical variances from X. Parameters
X{array-like, sparse matrix}, shape (n_samples, n_features)
Sample vectors from which to compute variances.
yany, default=None
Ignored. This parameter exists only for compatibility with sklearn.pipeline.Pipeline. Returns
self | |
doc_26042 |
Performs unbuffered in place operation on operand ‘a’ for elements specified by ‘indices’. For addition ufunc, this method is equivalent to a[indices] += b, except that results are accumulated for elements that are indexed more than once. For example, a[[0,0]] += 1 will only increment the first element once because o... | |
doc_26043 |
Return the units for axis. | |
doc_26044 | See Migration guide for more details. tf.compat.v1.linalg.LinearOperatorCirculant
tf.linalg.LinearOperatorCirculant(
spectrum, input_output_dtype=tf.dtypes.complex64, is_non_singular=None,
is_self_adjoint=None, is_positive_definite=None, is_square=True,
name='LinearOperatorCirculant'
)
This operator acts... | |
doc_26045 | Header-encode the string string. The type of encoding (base64 or quoted-printable) will be based on the header_encoding attribute. | |
doc_26046 |
Return the edge color. | |
doc_26047 | Example: 'fav_color' in request.session | |
doc_26048 | Checks for an ASCII control character (ordinal values 0 to 31). | |
doc_26049 |
Render a DataFrame as an HTML table. Parameters
buf:str, Path or StringIO-like, optional, default None
Buffer to write to. If None, the output is returned as a string.
columns:sequence, optional, default None
The subset of columns to write. Writes all columns by default.
col_space:str or int, list or dict... | |
doc_26050 |
Perform dimensionality reduction on X. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
New data. Returns
X_newndarray of shape (n_samples, n_components)
Reduced version of X. This will always be a dense array. | |
doc_26051 |
Return the sizes ('areas') of the elements in the collection. Returns
array
The 'area' of each element. | |
doc_26052 | Enables support for top-level await, async for, async with and async comprehensions. New in version 3.8. | |
doc_26053 | Absolute path to the package on the filesystem. Used to look up resources contained in the package. | |
doc_26054 | Converts this geometry to canonical form: >>> g = MultiPoint(Point(0, 0), Point(2, 2), Point(1, 1))
>>> print(g)
MULTIPOINT (0 0, 2 2, 1 1)
>>> g.normalize()
>>> print(g)
MULTIPOINT (2 2, 1 1, 0 0) | |
doc_26055 | Create a video display information object Info() -> VideoInfo Creates a simple object containing several attributes to describe the current graphics environment. If this is called before pygame.display.set_mode() some platforms can provide information about the default display mode. This can also be called after sett... | |
doc_26056 | tf.compat.v1.nn.dilation2d(
input, filter=None, strides=None, rates=None, padding=None, name=None,
filters=None, dilations=None
)
The input tensor has shape [batch, in_height, in_width, depth] and the filter tensor has shape [filter_height, filter_width, depth], i.e., each input channel is processed independen... | |
doc_26057 | Returns a new tensor with the hyperbolic tangent of the elements of input. outi=tanh(inputi)\text{out}_{i} = \tanh(\text{input}_{i})
Parameters
input (Tensor) – the input tensor. Keyword Arguments
out (Tensor, optional) – the output tensor. Example: >>> a = torch.randn(4)
>>> a
tensor([ 0.8986, -0.7279, 1.17... | |
doc_26058 | The metadata of this raster, represented as a nested dictionary. The first-level key is the metadata domain. The second-level contains the metadata item names and values from each domain. To set or update a metadata item, pass the corresponding metadata item to the method using the nested structure described above. Onl... | |
doc_26059 | The value of the start parameter (or 0 if the parameter was not supplied) | |
doc_26060 |
Adds the forward pre-hook that enables pruning on the fly and the reparametrization of a tensor in terms of the original tensor and the pruning mask. Parameters
module (nn.Module) – module containing the tensor to prune
name (str) – parameter name within module on which pruning will act. | |
doc_26061 |
[Deprecated] Set the cursor. Notes Deprecated since version 3.5. | |
doc_26062 |
Round elements of the array to the nearest integer. 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 freshly-allocated array is r... | |
doc_26063 |
Set a Python function to be used when pretty printing arrays. Parameters
ffunction or None
Function to be used to pretty print arrays. The function should expect a single array argument and return a string of the representation of the array. If None, the function is reset to the default NumPy function to print ... | |
doc_26064 | Browsers will not allow JavaScript access to cookies marked as “HTTP only” for security. Default: True | |
doc_26065 | The debugging flags necessary for the collector to print information about a leaking program (equal to DEBUG_COLLECTABLE | DEBUG_UNCOLLECTABLE |
DEBUG_SAVEALL). | |
doc_26066 |
Bases: matplotlib.patheffects.TickedStroke A shortcut PathEffect for applying TickedStroke and then drawing the original Artist. With this class you can use artist.set_path_effects([path_effects.withTickedStroke()])
as a shortcut for artist.set_path_effects([path_effects.TickedStroke(),
path... | |
doc_26067 |
Color difference from the CMC l:c standard. This color difference was developed by the Colour Measurement Committee (CMC) of the Society of Dyers and Colourists (United Kingdom). It is intended for use in the textile industry. The scale factors kL, kC set the weight given to differences in lightness and chroma relati... | |
doc_26068 |
Alias for set_linewidth. | |
doc_26069 |
Return the Transform instance used by this artist. | |
doc_26070 |
Set the artist offset transform. Parameters
transOffsetTransform | |
doc_26071 |
Get a fontconfig pattern suitable for looking up the font as specified with fontconfig's fc-match utility. This support does not depend on fontconfig; we are merely borrowing its pattern syntax for use here. | |
doc_26072 | sklearn.metrics.roc_curve(y_true, y_score, *, pos_label=None, sample_weight=None, drop_intermediate=True) [source]
Compute Receiver operating characteristic (ROC). Note: this implementation is restricted to the binary classification task. Read more in the User Guide. Parameters
y_truendarray of shape (n_samples,)... | |
doc_26073 |
Applies Niblack local threshold to an array. A threshold T is calculated for every pixel in the image using the following formula: T = m(x,y) - k * s(x,y)
where m(x,y) and s(x,y) are the mean and standard deviation of pixel (x,y) neighborhood defined by a rectangular window with size w times w centered around the pi... | |
doc_26074 | Get the character encoding of this InputSource. | |
doc_26075 | Return any data available in the cooked queue (very lazy). Raise EOFError if connection closed and no data available. Return b'' if no cooked data available otherwise. This method never blocks. | |
doc_26076 | An optional string of a field name (with an optional "-" prefix which indicates descending order) or an expression (or a tuple or list of strings and/or expressions) that specifies the ordering of the elements in the result string. Examples are the same as for ArrayAgg.ordering. | |
doc_26077 |
Alias for the signed integer type (one of numpy.byte, numpy.short, numpy.intc, numpy.int_ and np.longlong) that is the same size as a pointer. Compatible with the C intptr_t. Character code
'p' | |
doc_26078 | See Migration guide for more details. tf.compat.v1.math.rsqrt, tf.compat.v1.rsqrt
tf.math.rsqrt(
x, name=None
)
For example:
x = tf.constant([2., 0., -2.])
tf.math.rsqrt(x)
<tf.Tensor: shape=(3,), dtype=float32,
numpy=array([0.707, inf, nan], dtype=float32)>
Args
x A tf.Tensor. Must be one of the foll... | |
doc_26079 | Exception raised when non-blocking put() (or put_nowait()) is called on a Queue object which is full. | |
doc_26080 | bytearray.translate(table, /, delete=b'')
Return a copy of the bytes or bytearray object where all bytes occurring in the optional argument delete are removed, and the remaining bytes have been mapped through the given translation table, which must be a bytes object of length 256. You can use the bytes.maketrans() me... | |
doc_26081 |
Test whether the mouse event occurred on the figure. Returns
bool, {} | |
doc_26082 |
Apply only the affine part of this transformation on the given array of values. transform(values) is always equivalent to transform_affine(transform_non_affine(values)). In non-affine transformations, this is generally a no-op. In affine transformations, this is equivalent to transform(values). Parameters
valuesa... | |
doc_26083 | Return True if the argument is a (positive or negative) zero and False otherwise. | |
doc_26084 | Returns the current setting for the weekday to start each week. | |
doc_26085 | load new BMP image from a file (or file-like object) load_basic(file) -> Surface Load an image from a file source. You can pass either a filename or a Python file-like object. This function only supports loading "basic" image format, ie BMP format. This function is always available, no matter how pygame was built. | |
doc_26086 | In range(60). | |
doc_26087 | tf.keras.mixed_precision.experimental.set_policy
tf.keras.mixed_precision.set_global_policy(
policy
)
The global policy is the default tf.keras.mixed_precision.Policy used for layers, if no policy is passed to the layer constructor.
tf.keras.mixed_precision.set_global_policy('mixed_float16')
tf.keras.mixed_prec... | |
doc_26088 | The field on the current object instance that can be used to determine the name of a candidate template. If either template_name_field itself or the value of the template_name_field on the current object instance is None, the object will not be used for a candidate template name. | |
doc_26089 | Control the number of TLS 1.3 session tickets of a TLS_PROTOCOL_SERVER context. The setting has no impact on TLS 1.0 to 1.2 connections. Note This attribute is not available unless the ssl module is compiled with OpenSSL 1.1.1 or newer. New in version 3.8. | |
doc_26090 | Returns the day of the week (0 is Monday) for year (1970–…), month (1–12), day (1–31). | |
doc_26091 |
[Deprecated] Notes Deprecated since version 3.5: | |
doc_26092 | Exception raised when the put_nowait() method is called on a queue that has reached its maxsize. | |
doc_26093 | This class provides run_script() and report() methods to determine the set of modules imported by a script. path can be a list of directories to search for modules; if not specified, sys.path is used. debug sets the debugging level; higher values make the class print debugging messages about what it’s doing. excludes i... | |
doc_26094 | class frozenset([iterable])
Return a new set or frozenset object whose elements are taken from iterable. The elements of a set must be hashable. To represent sets of sets, the inner sets must be frozenset objects. If iterable is not specified, a new empty set is returned. Sets can be created by several means: Use a ... | |
doc_26095 |
Set the linestyle(s) for the collection.
linestyle description
'-' or 'solid' solid line
'--' or 'dashed' dashed line
'-.' or 'dashdot' dash-dotted line
':' or 'dotted' dotted line Alternatively a dash tuple of the following form can be provided: (offset, onoffseq),
where onoffseq is an even length tup... | |
doc_26096 |
Return the bool of a single element Series or DataFrame. This must be a boolean scalar value, either True or False. It will raise a ValueError if the Series or DataFrame does not have exactly 1 element, or that element is not boolean (integer values 0 and 1 will also raise an exception). Returns
bool
The value in... | |
doc_26097 | What environment the app is running in. Flask and extensions may enable behaviors based on the environment, such as enabling debug mode. This maps to the ENV config key. This is set by the FLASK_ENV environment variable and may not behave as expected if set in code. Do not enable development when deploying in productio... | |
doc_26098 |
Computes a partial inverse of MaxPool1d. See MaxUnpool1d for details. | |
doc_26099 | Method called when an empty line is entered in response to the prompt. If this method is not overridden, it repeats the last nonempty command entered. |
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