_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_11400 |
Alias for get_facecolor. | |
doc_11401 |
Call all of the registered callbacks. This function is triggered internally when a property is changed. See also add_callback
remove_callback | |
doc_11402 |
Return the aspect ratio of the data itself. | |
doc_11403 | An abstract class that provides methods to execute calls asynchronously. It should not be used directly, but through its concrete subclasses.
submit(fn, /, *args, **kwargs)
Schedules the callable, fn, to be executed as fn(*args **kwargs) and returns a Future object representing the execution of the callable. with T... | |
doc_11404 |
Return the shape of an array. Parameters
aarray_like
Input array. Returns
shapetuple of ints
The elements of the shape tuple give the lengths of the corresponding array dimensions. See also len
ndarray.shape
Equivalent array method. Examples >>> np.shape(np.eye(3))
(3, 3)
>>> np.shape([[1, 2]]... | |
doc_11405 | Return the name of the module named by the file path, without including the names of enclosing packages. The file extension is checked against all of the entries in importlib.machinery.all_suffixes(). If it matches, the final path component is returned with the extension removed. Otherwise, None is returned. Note that ... | |
doc_11406 | tf.compat.v1.shape(
input, name=None, out_type=tf.dtypes.int32
)
This operation returns a 1-D integer tensor representing the shape of input. For example: t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]])
tf.shape(t) # [2, 2, 3]
Args
input A Tensor or SparseTensor.
name A name for ... | |
doc_11407 |
Remove pandas formatters and converters. Removes the custom converters added by register(). This attempts to set the state of the registry back to the state before pandas registered its own units. Converters for pandas’ own types like Timestamp and Period are removed completely. Converters for types pandas overwrites... | |
doc_11408 |
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_11409 |
Force rasterized (bitmap) drawing for vector graphics output. Rasterized drawing is not supported by all artists. If you try to enable this on an artist that does not support it, the command has no effect and a warning will be issued. This setting is ignored for pixel-based output. See also Rasterization for vector g... | |
doc_11410 | tf.experimental.numpy.int16(
*args, **kwargs
)
Character code: 'h'. Canonical name: np.short. Alias on this platform: np.int16: 16-bit signed integer (-32768 to 32767). Methods all
all()
Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemen... | |
doc_11411 |
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_11412 | Extended header setting. This method is similar to __setitem__() except that additional header parameters can be provided as keyword arguments. _name is the header field to add and _value is the primary value for the header. For each item in the keyword argument dictionary _params, the key is taken as the parameter nam... | |
doc_11413 | This is the same as the DefaultHandler(), but doesn’t inhibit expansion of internal entities. The entity reference will not be passed to the default handler. | |
doc_11414 |
Bases: matplotlib.image._ImageBase An image attached to an Axes. Parameters
axAxes
The axes the image will belong to.
cmapstr or Colormap, default: rcParams["image.cmap"] (default: 'viridis')
The Colormap instance or registered colormap name used to map scalar data to colors.
normNormalize
Maps luminanc... | |
doc_11415 |
For each element, return the lowest index in the string where substring sub is found. See also char.find | |
doc_11416 |
Return whether plots are updated after every plotting command. The interactive mode is mainly useful if you build plots from the command line and want to see the effect of each command while you are building the figure. In interactive mode: newly created figures will be shown immediately; figures will automatically ... | |
doc_11417 | When raise_exception is True, this method can be used to control the error message passed to the error handler for display to the user. Returns the permission_denied_message attribute by default. | |
doc_11418 |
Convert Decimals to floats. The unit and axis arguments are not used. Parameters
valuedecimal.Decimal or iterable
Decimal or list of Decimal need to be converted | |
doc_11419 |
Fit Naive Bayes classifier according to X, y Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
Training vectors, where n_samples is the number of samples and n_features is the number of features.
yarray-like of shape (n_samples,)
Target values.
sample_weightarray-like of shape (n_sa... | |
doc_11420 | tf.experimental.numpy.logaddexp(
x1, x2
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.logaddexp. | |
doc_11421 |
Return a transformed point. This function is only kept for backcompatibility; the more general transform method is capable of transforming both a list of points and a single point. The point is given as a sequence of length input_dims. The transformed point is returned as a sequence of length output_dims. | |
doc_11422 |
Bases: matplotlib.patches.BoxStyle._Base A box with rounded edges. Parameters
padfloat, default: 0.3
The amount of padding around the original box.
rounding_sizefloat, default: pad/2
Rounding of edges. __call__(x0, y0, width, height, mutation_size, mutation_aspect=<deprecated parameter>)[source]
Giv... | |
doc_11423 |
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_11424 |
Label a bar plot. Adds labels to bars in the given BarContainer. You may need to adjust the axis limits to fit the labels. Parameters
containerBarContainer
Container with all the bars and optionally errorbars, likely returned from bar or barh.
labelsarray-like, optional
A list of label texts, that should be... | |
doc_11425 | Parse address – which should be the value of some address-containing field such as To or Cc – into its constituent realname and email address parts. Returns a tuple of that information, unless the parse fails, in which case a 2-tuple of ('', '') is returned. | |
doc_11426 | The inverse of parseaddr(), this takes a 2-tuple of the form (realname,
email_address) and returns the string value suitable for a To or Cc header. If the first element of pair is false, then the second element is returned unmodified. Optional charset is the character set that will be used in the RFC 2047 encoding of t... | |
doc_11427 |
Fills the {3, 4, 5}-dimensional input Tensor with the Dirac delta function. Preserves the identity of the inputs in Convolutional layers, where as many input channels are preserved as possible. In case of groups>1, each group of channels preserves identity Parameters
tensor – a {3, 4, 5}-dimensional torch.Tensor
... | |
doc_11428 |
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_11429 |
RGB to YUV color space conversion. Parameters
rgb(…, 3) array_like
The image in RGB format. Final dimension denotes channels. Returns
out(…, 3) ndarray
The image in YUV format. Same dimensions as input. Raises
ValueError
If rgb is not at least 2-D with shape (…, 3). Notes Y is between 0 and 1.... | |
doc_11430 |
Return offset of the container. | |
doc_11431 | class sklearn.gaussian_process.kernels.Kernel [source]
Base class for all kernels. New in version 0.18. Attributes
bounds
Returns the log-transformed bounds on the theta.
hyperparameters
Returns a list of all hyperparameter specifications.
n_dims
Returns the number of non-fixed hyperparameters of the ... | |
doc_11432 |
Returns the pickle of the array as a string. pickle.loads will convert the string back to an array. Parameters
None | |
doc_11433 | type_comment is an optional string with the type annotation as a comment. | |
doc_11434 | See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedMatMulWithBiasAndReluAndRequantize
tf.raw_ops.QuantizedMatMulWithBiasAndReluAndRequantize(
a, b, bias, min_a, max_a, min_b, max_b, min_freezed_output, max_freezed_output,
Toutput=tf.dtypes.quint8, transpose_a=False, transpose_b=False,
inp... | |
doc_11435 | os.spawnle(mode, path, ..., env)
os.spawnlp(mode, file, ...)
os.spawnlpe(mode, file, ..., env)
os.spawnv(mode, path, args)
os.spawnve(mode, path, args, env)
os.spawnvp(mode, file, args)
os.spawnvpe(mode, file, args, env)
Execute the program path in a new process. (Note that the subprocess module provides ... | |
doc_11436 | The internal block size of the hash algorithm in bytes. New in version 3.4. | |
doc_11437 | See Migration guide for more details. tf.compat.v1.raw_ops.InitializeTableV2
tf.raw_ops.InitializeTableV2(
table_handle, keys, values, name=None
)
Args
table_handle A Tensor of type resource. Handle to a table which will be initialized.
keys A Tensor. Keys of type Tkey.
values A Tensor. Valu... | |
doc_11438 | URL name: password_change Allows a user to change their password. Attributes:
success_url
The URL to redirect to after a successful password change. Defaults to 'password_change_done'.
form_class
A custom “change password” form which must accept a user keyword argument. The form is responsible for actually ch... | |
doc_11439 | Altered an exponent to fit representation constraints. Typically, clamping occurs when an exponent falls outside the context’s Emin and Emax limits. If possible, the exponent is reduced to fit by adding zeros to the coefficient. | |
doc_11440 | Returns a dictionary containing a subset of configuration options that match the specified namespace/prefix. Example usage: app.config['IMAGE_STORE_TYPE'] = 'fs'
app.config['IMAGE_STORE_PATH'] = '/var/app/images'
app.config['IMAGE_STORE_BASE_URL'] = 'http://img.website.com'
image_store_config = app.config.get_namespace... | |
doc_11441 |
Compute Normalized Discounted Cumulative Gain. Sum the true scores ranked in the order induced by the predicted scores, after applying a logarithmic discount. Then divide by the best possible score (Ideal DCG, obtained for a perfect ranking) to obtain a score between 0 and 1. This ranking metric yields a high value i... | |
doc_11442 |
Set the pick radius used for containment tests. Parameters
prfloat
Pick radius, in points. | |
doc_11443 | This method always returns only one value associated with form field name. The method returns only the first value in case that more values were posted under such name. Please note that the order in which the values are received may vary from browser to browser and should not be counted on. 1 If no such form field or v... | |
doc_11444 |
Applies the element-wise function Hardsigmoid(x)={0if x≤−3,1if x≥+3,x/6+1/2otherwise\text{Hardsigmoid}(x) = \begin{cases} 0 & \text{if~} x \le -3, \\ 1 & \text{if~} x \ge +3, \\ x / 6 + 1 / 2 & \text{otherwise} \end{cases}
Parameters
inplace – If set to True, will do this operation in-place. Default: False See... | |
doc_11445 |
Autoscale the scalar limits on the norm instance using the current array, changing only limits that are None | |
doc_11446 | (default: None) If not None, then the output will contain at most max_lines lines, with placeholder appearing at the end of the output. New in version 3.4. | |
doc_11447 | Behaves the same way as process_lhs(), for the right-hand side. | |
doc_11448 | Removes the specified model objects from the related object set: >>> b = Blog.objects.get(id=1)
>>> e = Entry.objects.get(id=234)
>>> b.entry_set.remove(e) # Disassociates Entry e from Blog b.
Similar to add(), e.save() is called in the example above to perform the update. Using remove() with a many-to-many relationsh... | |
doc_11449 |
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_11450 | sklearn.metrics.adjusted_rand_score(labels_true, labels_pred) [source]
Rand index adjusted for chance. The Rand Index computes a similarity measure between two clusterings by considering all pairs of samples and counting pairs that are assigned in the same or different clusters in the predicted and true clusterings. ... | |
doc_11451 | tf.keras.layers.GlobalAvgPool1D Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.layers.GlobalAveragePooling1D, tf.compat.v1.keras.layers.GlobalAvgPool1D
tf.keras.layers.GlobalAveragePooling1D(
data_format='channels_last', **kwargs
)
Examples:
input_shape = (2, 3, 4)
x = tf.... | |
doc_11452 | Constructs a form, checks the form for validity, and handles it accordingly. | |
doc_11453 |
Perform one epoch of stochastic gradient descent on given samples. Internally, this method uses max_iter = 1. Therefore, it is not guaranteed that a minimum of the cost function is reached after calling it once. Matters such as objective convergence and early stopping should be handled by the user. Parameters
X{a... | |
doc_11454 |
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_11455 | See Migration guide for more details. tf.compat.v1.compat.as_str
tf.compat.as_str(
bytes_or_text, encoding='utf-8'
) | |
doc_11456 |
Feature selector that removes all low-variance features. This feature selection algorithm looks only at the features (X), not the desired outputs (y), and can thus be used for unsupervised learning. Read more in the User Guide. Parameters
thresholdfloat, default=0
Features with a training-set variance lower tha... | |
doc_11457 | Returns a list of all hyperparameter specifications. | |
doc_11458 | See Migration guide for more details. tf.compat.v1.raw_ops.BesselJ1
tf.raw_ops.BesselJ1(
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_11459 |
Attach the plugin to an ImageViewer. Note that the ImageViewer will automatically call this method when the plugin is added to the ImageViewer. For example: viewer += Plugin(...)
Also note that attach automatically calls the filter function so that the image matches the filtered value specified by attached widgets. | |
doc_11460 |
Convert DataFrame from DatetimeIndex to PeriodIndex. Convert DataFrame from DatetimeIndex to PeriodIndex with desired frequency (inferred from index if not passed). Parameters
freq:str, default
Frequency of the PeriodIndex.
axis:{0 or ‘index’, 1 or ‘columns’}, default 0
The axis to convert (the index by def... | |
doc_11461 |
Predict intersection of the estimated line model with a hyperplane orthogonal to a given axis. Parameters
x(n, 1) array
Coordinates along an axis.
axisint
Axis orthogonal to the hyperplane intersecting the line.
params(2, ) array, optional
Optional custom parameter set in the form (origin, direction). ... | |
doc_11462 | Read at most n bytes from file descriptor fd. Return a bytestring containing the bytes read. If the end of the file referred to by fd has been reached, an empty bytes object is returned. Note This function is intended for low-level I/O and must be applied to a file descriptor as returned by os.open() or pipe(). To rea... | |
doc_11463 |
Attributes
collective_graph_key int64 collective_graph_key
run_handler_pool_options RunHandlerPoolOptions run_handler_pool_options
use_run_handler_pool bool use_run_handler_pool Child Classes class RunHandlerPoolOptions | |
doc_11464 | See Migration guide for more details. tf.compat.v1.raw_ops.ConsumeMutexLock
tf.raw_ops.ConsumeMutexLock(
mutex_lock, name=None
)
This op exists to consume a tensor created by MutexLock (other than direct control dependencies). It should be the only that consumes the tensor, and will raise an error if it is not. ... | |
doc_11465 |
Generates ellipsoid with semimajor axes aligned with grid dimensions on grid with specified spacing. Parameters
afloat
Length of semimajor axis aligned with x-axis.
bfloat
Length of semimajor axis aligned with y-axis.
cfloat
Length of semimajor axis aligned with z-axis.
spacingtuple of floats, length ... | |
doc_11466 |
Call self as a function. | |
doc_11467 | Buffer size in bytes for sending a file-like message body. New in version 3.7. | |
doc_11468 |
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_11469 | Don’t allow setting cookies whose path doesn’t path-match request URI. | |
doc_11470 | See Migration guide for more details. tf.compat.v1.keras.layers.GaussianDropout
tf.keras.layers.GaussianDropout(
rate, **kwargs
)
As it is a regularization layer, it is only active at training time.
Arguments
rate Float, drop probability (as with Dropout). The multiplicative noise will have standard dev... | |
doc_11471 | Returns whether the user is allowed to authenticate. This method returns False for users with is_active=False. Custom user models that don’t have an is_active field are allowed. | |
doc_11472 | The form class to instantiate. | |
doc_11473 | class sklearn.linear_model.Lasso(alpha=1.0, *, fit_intercept=True, normalize=False, precompute=False, copy_X=True, max_iter=1000, tol=0.0001, warm_start=False, positive=False, random_state=None, selection='cyclic') [source]
Linear Model trained with L1 prior as regularizer (aka the Lasso) The optimization objective f... | |
doc_11474 |
Return the shape of an array. Parameters
aarray_like
Input array. Returns
shapetuple of ints
The elements of the shape tuple give the lengths of the corresponding array dimensions. See also len
ndarray.shape
Equivalent array method. Examples >>> np.shape(np.eye(3))
(3, 3)
>>> np.shape([[1, 2]]... | |
doc_11475 |
Description of the Tool. str: Tooltip used if the Tool is included in a Toolbar. | |
doc_11476 | tf.experimental.numpy.ndim(
a
) | |
doc_11477 |
Fit the Kernel Density model on the data. Parameters
Xarray-like of shape (n_samples, n_features)
List of n_features-dimensional data points. Each row corresponds to a single data point.
yNone
Ignored. This parameter exists only for compatibility with Pipeline.
sample_weightarray-like of shape (n_samples,... | |
doc_11478 |
Return the corresponding inverse transformation. It holds x == self.inverted().transform(self.transform(x)). The return value of this method should be treated as temporary. An update to self does not cause a corresponding update to its inverted copy. | |
doc_11479 |
Return the snap setting. See set_snap for details. | |
doc_11480 |
Fit the nearest neighbors estimator from the training dataset. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features) or (n_samples, n_samples) if metric=’precomputed’
Training data.
yIgnored
Not used, present for API consistency by convention. Returns
selfNearestNeighbors
The fitt... | |
doc_11481 |
Set a label that will be displayed in the legend. Parameters
sobject
s will be converted to a string by calling str. | |
doc_11482 | See Migration guide for more details. tf.compat.v1.raw_ops.SparseSoftmax
tf.raw_ops.SparseSoftmax(
sp_indices, sp_values, sp_shape, name=None
)
The inputs represent an N-D SparseTensor with logical shape [..., B, C] (where N >= 2), and with indices sorted in the canonical lexicographic order. This op is equivale... | |
doc_11483 | Query or modify vertical position of the treeview. | |
doc_11484 |
Fit the model according to the given training data. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
Training vector, where n_samples is the number of samples and n_features is the number of features.
yarray-like of shape (n_samples,)
Target values.
**fit_paramsdict
Parameters pa... | |
doc_11485 | Close the dumbdbm database. | |
doc_11486 | bytearray.decode(encoding="utf-8", errors="strict")
Return a string decoded from the given bytes. Default encoding is 'utf-8'. errors may be given to set a different error handling scheme. The default for errors is 'strict', meaning that encoding errors raise a UnicodeError. Other possible values are 'ignore', 'repla... | |
doc_11487 |
Return whether the artist uses clipping. | |
doc_11488 | See Migration guide for more details. tf.compat.v1.keras.layers.experimental.preprocessing.CenterCrop
tf.keras.layers.experimental.preprocessing.CenterCrop(
height, width, name=None, **kwargs
)
Input shape: 4D tensor with shape: (samples, height, width, channels), data_format='channels_last'. Output shape: 4D te... | |
doc_11489 | Return True for non-terminal token values. | |
doc_11490 |
Write the header for an array using the 2.0 format.
The 2.0 format allows storing very large structured arrays. New in version 1.9.0. Parameters
fpfilelike object
ddict
This has the appropriate entries for writing its string representation to the header of the file. | |
doc_11491 |
Autoscale the scalar limits on the norm instance using the current array, changing only limits that are None | |
doc_11492 | See Migration guide for more details. tf.compat.v1.raw_ops.LoadTPUEmbeddingADAMParameters
tf.raw_ops.LoadTPUEmbeddingADAMParameters(
parameters, momenta, velocities, num_shards, shard_id, table_id=-1,
table_name='', config='', name=None
)
An op that loads optimization parameters into HBM for embedding. Must ... | |
doc_11493 |
Strip library names and some prefixes from function strings. When comparing two different sets of instruction counts, on stumbling block can be path prefixes. Callgrind includes the full filepath when reporting a function (as it should). However, this can cause issues when diffing profiles. If a key component such as... | |
doc_11494 | Asynchronous version of socket.getnameinfo(). | |
doc_11495 | See torch.bmm() | |
doc_11496 |
Return the values of the matrix as an (a, b, c, d, e, f) tuple. | |
doc_11497 |
Find peaks in corner measure response image. This differs from skimage.feature.peak_local_max in that it suppresses multiple connected peaks with the same accumulator value. Parameters
imagendarray
Input image.
min_distanceint, optional
The minimal allowed distance separating peaks.
**
See skimage.featu... | |
doc_11498 |
Set the dash sequence. The dash sequence is a sequence of floats of even length describing the length of dashes and spaces in points. For example, (5, 2, 1, 2) describes a sequence of 5 point and 1 point dashes separated by 2 point spaces. Parameters
seqsequence of floats (on/off ink in points) or (None, None)
... | |
doc_11499 |
Return whether the artist is to be rasterized. |
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