_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_6600 |
Insert scalar into an array (scalar is cast to array’s dtype, if possible) There must be at least 1 argument, and define the last argument as item. Then, a.itemset(*args) is equivalent to but faster than a[args] = item. The item should be a scalar value and args must select a single item in the array a. Parameters
... | |
doc_6601 |
Repeated Stratified K-Fold cross validator. Repeats Stratified K-Fold n times with different randomization in each repetition. Read more in the User Guide. Parameters
n_splitsint, default=5
Number of folds. Must be at least 2.
n_repeatsint, default=10
Number of times cross-validator needs to be repeated.
... | |
doc_6602 |
Return the yaxis' grid lines as a list of Line2Ds. | |
doc_6603 |
Divide other into self, and return a new masked array. | |
doc_6604 |
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_6605 |
Search over specified parameter values with successive halving. The search strategy starts evaluating all the candidates with a small amount of resources and iteratively selects the best candidates, using more and more resources. Read more in the User guide. Note This estimator is still experimental for now: the pre... | |
doc_6606 | tf.compat.v1.metrics.false_positives_at_thresholds(
labels, predictions, thresholds, weights=None, metrics_collections=None,
updates_collections=None, name=None
)
If weights is None, weights default to 1. Use weights of 0 to mask values.
Args
labels A Tensor whose shape matches predictions. Will be ca... | |
doc_6607 | os.P_NOWAITO
Possible values for the mode parameter to the spawn* family of functions. If either of these values is given, the spawn*() functions will return as soon as the new process has been created, with the process id as the return value. Availability: Unix, Windows. | |
doc_6608 | Get the ACLs for mailbox. The method is non-standard, but is supported by the Cyrus server. | |
doc_6609 |
Return whether the given font is a Postscript Compact Font Format Font embedded in an OpenType wrapper. Used by the PostScript and PDF backends that can not subset these fonts. | |
doc_6610 | Set to True if IPv6 is enabled on this host, False otherwise. | |
doc_6611 | Mask for file owner permissions. | |
doc_6612 | Return an iterator over the events which have been encountered in the data fed to the parser. The iterator yields (event, elem) pairs, where event is a string representing the type of event (e.g. "end") and elem is the encountered Element object, or other context value as follows.
start, end: the current Element.
co... | |
doc_6613 | Error raised when there is a problem unpickling an object, such as a data corruption or a security violation. It inherits PickleError. Note that other exceptions may also be raised during unpickling, including (but not necessarily limited to) AttributeError, EOFError, ImportError, and IndexError. | |
doc_6614 |
Return figure and axes with figure tightly surrounding image. Unlike pyplot.figimage, this actually plots onto an axes object, which fills the figure. Plotting the image onto an axes allows for subsequent overlays of axes artists. Parameters
imagearray
image to plot
scalefloat
If scale is 1, the figure and ... | |
doc_6615 |
Parameters
urlslist of str or None
Notes URLs are currently only implemented by the SVG backend. They are ignored by all other backends. | |
doc_6616 | Read all lines available on the input stream and return them as a list of lines. Line-endings are implemented using the codec’s decode() method and are included in the list entries if keepends is true. sizehint, if given, is passed as the size argument to the stream’s read() method. | |
doc_6617 | tf.compat.v1.lite.experimental.nn.TFLiteLSTMCell(
num_units, use_peepholes=False, cell_clip=None, initializer=None, num_proj=None,
proj_clip=None, num_unit_shards=None, num_proj_shards=None, forget_bias=1.0,
state_is_tuple=True, activation=None, reuse=None, name=None, dtype=None
)
This is used only for TfL... | |
doc_6618 | sklearn.utils.validation.has_fit_parameter(estimator, parameter) [source]
Checks whether the estimator’s fit method supports the given parameter. Parameters
estimatorobject
An estimator to inspect.
parameterstr
The searched parameter. Returns
is_parameter: bool
Whether the parameter was found to be a ... | |
doc_6619 | Find all the test modules by recursing into subdirectories from the specified start directory, and return a TestSuite object containing them. Only test files that match pattern will be loaded. (Using shell style pattern matching.) Only module names that are importable (i.e. are valid Python identifiers) will be loaded.... | |
doc_6620 | Extract all doctest examples from the given string, and collect them into a DocTest object. globs, name, filename, and lineno are attributes for the new DocTest object. See the documentation for DocTest for more information. | |
doc_6621 |
Bases: matplotlib.image.AxesImage Make a pcolor-style plot with an irregular rectangular grid. This uses a variation of the original irregular image code, and it is used by pcolorfast for the corresponding grid type. Parameters
axAxes
The axes the image will belong to.
x, y1D array-like, optional
Monotonic ... | |
doc_6622 | stop sound playback stop() -> None This will stop the playback of this Sound on any active Channels. | |
doc_6623 |
Returns the variance of the array elements, along given axis. Refer to numpy.var for full documentation. See also numpy.var
equivalent function | |
doc_6624 | In-place version of threshold(). | |
doc_6625 | Returns a new tensor that is a narrowed version of input tensor. The dimension dim is input from start to start + length. The returned tensor and input tensor share the same underlying storage. Parameters
input (Tensor) – the tensor to narrow
dim (int) – the dimension along which to narrow
start (int) – the start... | |
doc_6626 |
Call self as a function. | |
doc_6627 | create binary cursor data from simple strings compile(strings, black='X', white='.', xor='o') -> data, mask A sequence of strings can be used to create binary cursor data for the system cursor. This returns the binary data in the form of two tuples. Those can be passed as the third and fourth arguments respectively o... | |
doc_6628 | class sklearn.preprocessing.StandardScaler(*, copy=True, with_mean=True, with_std=True) [source]
Standardize features by removing the mean and scaling to unit variance The standard score of a sample x is calculated as: z = (x - u) / s where u is the mean of the training samples or zero if with_mean=False, and s is th... | |
doc_6629 | tf.experimental.numpy.int8(
*args, **kwargs
)
Character code: 'b'. Canonical name: np.byte. Alias on this platform: np.int8: 8-bit signed integer (-128 to 127). Methods all
all()
Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all... | |
doc_6630 |
Get the mode(s) of each element along the selected axis. The mode of a set of values is the value that appears most often. It can be multiple values. Parameters
axis:{0 or ‘index’, 1 or ‘columns’}, default 0
The axis to iterate over while searching for the mode: 0 or ‘index’ : get mode of each column 1 or ‘col... | |
doc_6631 | Out-of-place version of torch.Tensor.scatter_() | |
doc_6632 | tf.initializers.LecunUniform, tf.initializers.lecun_uniform, tf.keras.initializers.lecun_uniform
tf.keras.initializers.LecunUniform(
seed=None
)
Also available via the shortcut function tf.keras.initializers.lecun_uniform. Draws samples from a uniform distribution within [-limit, limit], where limit = sqrt(3 / f... | |
doc_6633 | In-place version of logical_xor() | |
doc_6634 |
Return the zaxis' minor tick labels, as a list of Text. | |
doc_6635 | Release a semaphore, incrementing the internal counter by one. Can wake up a task waiting to acquire the semaphore. Unlike BoundedSemaphore, Semaphore allows making more release() calls than acquire() calls. | |
doc_6636 | See Migration guide for more details. tf.compat.v1.saved_model.loader.maybe_saved_model_directory, tf.compat.v1.saved_model.maybe_saved_model_directory
tf.compat.v1.saved_model.contains_saved_model(
export_dir
)
Note that the method does not load any data by itself. If the method returns false, the export direct... | |
doc_6637 | Close the AIFF file. After calling this method, the object can no longer be used. | |
doc_6638 | Create a new compressor object. This object may be used to compress data incrementally. For one-shot compression, use the compress() function instead. compresslevel, if given, must be an integer between 1 and 9. The default is 9.
compress(data)
Provide data to the compressor object. Returns a chunk of compressed da... | |
doc_6639 | Windows only: Instances of this class represent loaded shared libraries, functions in these libraries use the stdcall calling convention, and are assumed to return the windows specific HRESULT code. HRESULT values contain information specifying whether the function call failed or succeeded, together with additional err... | |
doc_6640 |
Check if the Index holds data with mixed data types. Returns
bool
Whether or not the Index holds data with mixed data types. See also is_boolean
Check if the Index only consists of booleans. is_integer
Check if the Index only consists of integers. is_floating
Check if the Index is a floating type. is_... | |
doc_6641 | Equivalent to DomainStrictNoDots|DomainStrictNonDomain. | |
doc_6642 | Set the size and position of the main window. Default values of arguments are stored in the configuration dictionary and can be changed via a turtle.cfg file. Parameters
width – if an integer, a size in pixels, if a float, a fraction of the screen; default is 50% of screen
height – if an integer, the height in pix... | |
doc_6643 | This class first uses CookieStorage, and falls back to using SessionStorage for the messages that could not fit in a single cookie. It also requires Django’s contrib.sessions application. This behavior avoids writing to the session whenever possible. It should provide the best performance in the general case. | |
doc_6644 | Constructor for a priority queue. maxsize is an integer that sets the upperbound limit on the number of items that can be placed in the queue. Insertion will block once this size has been reached, until queue items are consumed. If maxsize is less than or equal to zero, the queue size is infinite. The lowest valued ent... | |
doc_6645 |
Row and column indices of the i’th bicluster. Only works if rows_ and columns_ attributes exist. Parameters
iint
The index of the cluster. Returns
row_indndarray, dtype=np.intp
Indices of rows in the dataset that belong to the bicluster.
col_indndarray, dtype=np.intp
Indices of columns in the datase... | |
doc_6646 |
Alias for set_linestyle. | |
doc_6647 | 'DEFAULT_RENDERER_CLASSES': [
'rest_framework.renderers.JSONRenderer',
'rest_framework.renderers.BrowsableAPIRenderer',
]
}
You can also set the renderers used for an individual view, or viewset, using the APIView class-based views. from django.contrib.auth.models import User
from rest_framewor... | |
doc_6648 | torch.utils.checkpoint.checkpoint(function, *args, **kwargs) [source]
Checkpoint a model or part of the model Checkpointing works by trading compute for memory. Rather than storing all intermediate activations of the entire computation graph for computing backward, the checkpointed part does not save intermediate act... | |
doc_6649 | The constructor of django.template.Context takes an optional argument — a dictionary mapping variable names to variable values. For details, see Playing with Context objects below. | |
doc_6650 |
Generates a random sample from a given array Parameters
a{array_like, int}
If an ndarray, a random sample is generated from its elements. If an int, the random sample is generated from np.arange(a).
size{int, tuple[int]}, optional
Output shape. If the given shape is, e.g., (m, n, k), then m * n * k samples ... | |
doc_6651 |
Add a horizontal span (rectangle) across the Axes. The rectangle spans from ymin to ymax vertically, and, by default, the whole x-axis horizontally. The x-span can be set using xmin (default: 0) and xmax (default: 1) which are in axis units; e.g. xmin = 0.5 always refers to the middle of the x-axis regardless of the ... | |
doc_6652 |
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_6653 | Set the “From ” line to from_, which should be specified without a leading “From ” or trailing newline. For convenience, time_ may be specified and will be formatted appropriately and appended to from_. If time_ is specified, it should be a time.struct_time instance, a tuple suitable for passing to time.strftime(), or ... | |
doc_6654 |
Adjust the direction, text angle, text alignment of ticklabels, labels following the matplotlib convention for the rectangle axes. The axis_direction must be one of [left, right, bottom, top].
property left bottom right top
ticklabels location "-" "+" "+" "-"
axislabel location "-" "+" "+" "-"
ticklabels an... | |
doc_6655 | Get line lineno from file named filename. This function will never raise an exception — it will return '' on errors (the terminating newline character will be included for lines that are found). If a file named filename is not found, the function first checks for a PEP 302 __loader__ in module_globals. If there is such... | |
doc_6656 | Return first index of value. Raises ValueError if the value is not present. | |
doc_6657 | tf.random.experimental.set_global_generator Compat aliases for migration See Migration guide for more details. tf.compat.v1.random.experimental.set_global_generator, tf.compat.v1.random.set_global_generator
tf.random.set_global_generator(
generator
)
This function creates a new Generator object (and the Variable... | |
doc_6658 | Return True if the given integrity check is supported on this system. CHECK_NONE and CHECK_CRC32 are always supported. CHECK_CRC64 and CHECK_SHA256 may be unavailable if you are using a version of liblzma that was compiled with a limited feature set. | |
doc_6659 | LinearRing objects are constructed in the exact same way as LineString objects, however the coordinates must be closed, in other words, the first coordinates must be the same as the last coordinates. For example: >>> ls = LinearRing((0, 0), (0, 1), (1, 1), (0, 0))
Notice that (0, 0) is the first and last coordinate – ... | |
doc_6660 |
A simple lookup table that looks up embeddings in a fixed dictionary and size. This module is often used to retrieve word embeddings using indices. The input to the module is a list of indices, and the embedding matrix, and the output is the corresponding word embeddings. See torch.nn.Embedding for more details. Par... | |
doc_6661 |
Return intensity limits, i.e. (min, max) tuple, of the image’s dtype. Parameters
imagendarray
Input image.
clip_negativebool, optional
If True, clip the negative range (i.e. return 0 for min intensity) even if the image dtype allows negative values. Returns
imin, imaxtuple
Lower and upper intensity ... | |
doc_6662 | Return True if the object is a getset descriptor. CPython implementation detail: getsets are attributes defined in extension modules via PyGetSetDef structures. For Python implementations without such types, this method will always return False. | |
doc_6663 |
Returns
transformTransform
The transform used for drawing x-axis labels, which will add pad_points of padding (in points) between the axis and the label. The x-direction is in data coordinates and the y-direction is in axis coordinates
valign{'center', 'top', 'bottom', 'baseline', 'center_baseline'}
The tex... | |
doc_6664 |
Returns a boolean array which is True where the string element in a ends with suffix, otherwise False. Calls str.endswith element-wise. Parameters
aarray_like of str or unicode
suffixstr
start, endint, optional
With optional start, test beginning at that position. With optional end, stop comparing at that p... | |
doc_6665 |
Casts all parameters and buffers to dst_type. Parameters
dst_type (type or string) – the desired type Returns
self Return type
Module | |
doc_6666 | See Migration guide for more details. tf.compat.v1.raw_ops.ReduceJoin
tf.raw_ops.ReduceJoin(
inputs, reduction_indices, keep_dims=False, separator='', name=None
)
Computes the string join across dimensions in the given string Tensor of shape [\\(d_0, d_1, ..., d_{n-1}\\)]. Returns a new Tensor created by joining... | |
doc_6667 |
Build a matrix object from a string, nested sequence, or array. Parameters
objstr or array_like
Input data. If a string, variables in the current scope may be referenced by name.
ldictdict, optional
A dictionary that replaces local operands in current frame. Ignored if obj is not a string or gdict is None. ... | |
doc_6668 | class torch.nn.quantized.dynamic.Linear(in_features, out_features, bias_=True, dtype=torch.qint8) [source]
A dynamic quantized linear module with floating point tensor as inputs and outputs. We adopt the same interface as torch.nn.Linear, please see https://pytorch.org/docs/stable/nn.html#torch.nn.Linear for document... | |
doc_6669 | Registers a template context processor function. Parameters
f (Callable[[], Dict[str, Any]]) – Return type
Callable[[], Dict[str, Any]] | |
doc_6670 | See Migration guide for more details. tf.compat.v1.raw_ops.Save
tf.raw_ops.Save(
filename, tensor_names, data, name=None
)
The size of tensor_names must match the number of tensors in data. data[i] is written to filename with name tensor_names[i]. See also SaveSlices.
Args
filename A Tensor of type stri... | |
doc_6671 | See Migration guide for more details. tf.compat.v1.image.combined_non_max_suppression
tf.image.combined_non_max_suppression(
boxes, scores, max_output_size_per_class, max_total_size, iou_threshold=0.5,
score_threshold=float('-inf'), pad_per_class=False, clip_boxes=True,
name=None
)
This operation perform... | |
doc_6672 | class sklearn.model_selection.HalvingRandomSearchCV(estimator, param_distributions, *, n_candidates='exhaust', factor=3, resource='n_samples', max_resources='auto', min_resources='smallest', aggressive_elimination=False, cv=5, scoring=None, refit=True, error_score=nan, return_train_score=True, random_state=None, n_jobs... | |
doc_6673 | initialize the Joystick init() -> None Initialize the joystick, if it has been closed. It is safe to call this even if the joystick is already initialized. Deprecated since pygame 2.0.0: In future it will not be possible to reinitialise a closed Joystick object. Will be removed in Pygame 2.1. | |
doc_6674 |
Return the mean accuracy on the given test data and labels. In multi-label classification, this is the subset accuracy which is a harsh metric since you require for each sample that each label set be correctly predicted. Parameters
Xarray-like of shape (n_samples, n_features)
Test samples.
yarray-like of shap... | |
doc_6675 |
Set text rotation mode. Parameters
m{None, 'default', 'anchor'}
If None or "default", the text will be first rotated, then aligned according to their horizontal and vertical alignments. If "anchor", then alignment occurs before rotation. | |
doc_6676 |
Integrate a Hermite series. Returns the Hermite series coefficients c integrated m times from lbnd along axis. At each iteration the resulting series is multiplied by scl and an integration constant, k, is added. The scaling factor is for use in a linear change of variable. (“Buyer beware”: note that, depending on wh... | |
doc_6677 |
Draw random samples from a multivariate normal distribution. The multivariate normal, multinormal or Gaussian distribution is a generalization of the one-dimensional normal distribution to higher dimensions. Such a distribution is specified by its mean and covariance matrix. These parameters are analogous to the mean... | |
doc_6678 |
Internal event handler to clear the cursor. | |
doc_6679 | Returns the size of the hardware buffer, in samples. | |
doc_6680 |
Return True if all items in lst are string objects.
numpy.distutils.misc_util.allpath(name)[source]
Convert a /-separated pathname to one using the OS’s path separator.
numpy.distutils.misc_util.appendpath(prefix, path)[source]
numpy.distutils.misc_util.as_list(seq)[source]
numpy.distutils.misc_util... | |
doc_6681 | See Migration guide for more details. tf.compat.v1.raw_ops.BesselI0e
tf.raw_ops.BesselI0e(
x, name=None
)
Args
x A Tensor. Must be one of the following types: bfloat16, half, float32, float64.
name A name for the operation (optional).
Returns A Tensor. Has the same type as x. | |
doc_6682 | Thresholds each element of the input Tensor. See Threshold for more details. | |
doc_6683 | Return the real group id of the current process. Availability: Unix. | |
doc_6684 | The directory a. | |
doc_6685 | Called when the test case test was marked with the expectedFailure() decorator, but succeeded. The default implementation appends the test to the instance’s unexpectedSuccesses attribute. | |
doc_6686 | tf.keras.applications.densenet.DenseNet121 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.DenseNet121, tf.compat.v1.keras.applications.densenet.DenseNet121
tf.keras.applications.DenseNet121(
include_top=True, weights='imagenet', input_tensor=None,
input_shap... | |
doc_6687 |
Set the antialiasing state for rendering. Parameters
aabool or list of bools | |
doc_6688 | See Migration guide for more details. tf.compat.v1.raw_ops.DeserializeSparse
tf.raw_ops.DeserializeSparse(
serialized_sparse, dtype, name=None
)
The input serialized_sparse must have the shape [?, ?, ..., ?, 3] where the last dimension stores serialized SparseTensor objects and the other N dimensions (N >= 0) co... | |
doc_6689 | Convert a binary file with filename input to binhex file output. The output parameter can either be a filename or a file-like object (any object supporting a write() and close() method). | |
doc_6690 |
Bases: matplotlib.patches.ArrowStyle._Curve An arrow with vertical bars | at both ends. Parameters
widthA, widthBfloat, default: 1.0
Width of the bracket.
angleA, angleBfloat, default: 0 degrees
Orientation of the bracket, as a counterclockwise angle. 0 degrees means perpendicular to the line. arrow='... | |
doc_6691 | A numeric error number that denotes the verification error. | |
doc_6692 | The secure cookie uses this for the name of the session cookie. This attribute can also be configured from the config with the SESSION_COOKIE_NAME configuration key. Defaults to 'session' | |
doc_6693 |
Calculate the grey-level co-occurrence matrix. A grey level co-occurrence matrix is a histogram of co-occurring greyscale values at a given offset over an image. Parameters
imagearray_like
Integer typed input image. Only positive valued images are supported. If type is other than uint8, the argument levels need... | |
doc_6694 |
DET curve visualization. It is recommend to use plot_det_curve to create a visualizer. All parameters are stored as attributes. Read more in the User Guide. New in version 0.24. Parameters
fprndarray
False positive rate.
tprndarray
True positive rate.
estimator_namestr, default=None
Name of estimator.... | |
doc_6695 | A human-readable “verbose” name for the website. | |
doc_6696 | In-place version of asin() | |
doc_6697 | The unscaled ascent of the font in font units ascender -> int Read only. Return the number of units from the font's baseline to the top of the bounding box. | |
doc_6698 | Convert 16-bit positive integers from network to host byte order. On machines where the host byte order is the same as network byte order, this is a no-op; otherwise, it performs a 2-byte swap operation. Deprecated since version 3.7: In case x does not fit in 16-bit unsigned integer, but does fit in a positive C int, ... | |
doc_6699 |
Return the coefficient of determination \(R^2\) of the prediction. The coefficient \(R^2\) is defined as \((1 - \frac{u}{v})\), where \(u\) is the residual sum of squares ((y_true - y_pred)
** 2).sum() and \(v\) is the total sum of squares ((y_true -
y_true.mean()) ** 2).sum(). The best possible score is 1.0 and it c... |
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