_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_14200 |
An Elman RNN cell with tanh or ReLU non-linearity. h′=tanh(Wihx+bih+Whhh+bhh)h' = \tanh(W_{ih} x + b_{ih} + W_{hh} h + b_{hh})
If nonlinearity is ‘relu’, then ReLU is used in place of tanh. Parameters
input_size – The number of expected features in the input x
hidden_size – The number of features in the hidd... | |
doc_14201 | initialize the midi module init() -> None Initializes the pygame.midi module. Must be called before using the pygame.midi module. It is safe to call this more than once. | |
doc_14202 | The value to use to represent “empty”. Defaults to an empty string. | |
doc_14203 | Computes the inverse error function of each element of input. The inverse error function is defined in the range (−1,1)(-1, 1) as: erfinv(erf(x))=x\mathrm{erfinv}(\mathrm{erf}(x)) = x
Parameters
input (Tensor) – the input tensor. Keyword Arguments
out (Tensor, optional) – the output tensor. Example: >>> torch... | |
doc_14204 | tf.experimental.numpy.isscalar(
num
)
Unsupported arguments: element. See the NumPy documentation for numpy.isscalar. | |
doc_14205 | See Migration guide for more details. tf.compat.v1.raw_ops.StatelessTruncatedNormalV2
tf.raw_ops.StatelessTruncatedNormalV2(
shape, key, counter, alg, dtype=tf.dtypes.float32, name=None
)
The generated values follow a normal distribution with mean 0 and standard deviation 1, except that values whose magnitude is... | |
doc_14206 | A unary operation. op is the operator, and operand any expression node. | |
doc_14207 | This routine registers a callback. The callback is invoked for every n instructions of the SQLite virtual machine. This is useful if you want to get called from SQLite during long-running operations, for example to update a GUI. If you want to clear any previously installed progress handler, call the method with None f... | |
doc_14208 |
Return the intersection between the line through (cx1, cy1) at angle t1 and the line through (cx2, cy2) at angle t2. | |
doc_14209 |
Call draw_rubberband or remove_rubberband based on data. | |
doc_14210 | Casts all floating point parameters and buffers to bfloat16 datatype. Returns
self Return type
Module | |
doc_14211 | A file uploaded to a temporary location (i.e. stream-to-disk). This class is used by the TemporaryFileUploadHandler. In addition to the methods from UploadedFile, it has one additional method: | |
doc_14212 | tf.compat.v1.metrics.mean(
values, weights=None, metrics_collections=None, updates_collections=None,
name=None
)
The mean function creates two local variables, total and count that are used to compute the average of values. This average is ultimately returned as mean which is an idempotent operation that simpl... | |
doc_14213 |
Predict targets of given samples. Parameters
Xarray-like of shape (n_samples, n_features)
Samples.
copybool, default=True
Whether to copy X and Y, or perform in-place normalization. Notes This call requires the estimation of a matrix of shape (n_features, n_targets), which may be an issue in high dimens... | |
doc_14214 |
Convert an image to boolean format. Parameters
imagendarray
Input image.
force_copybool, optional
Force a copy of the data, irrespective of its current dtype. Returns
outndarray of bool (bool_)
Output image. Notes The upper half of the input dtype’s positive range is True, and the lower half is ... | |
doc_14215 |
Count number of distinct elements in specified axis. Return Series with number of distinct elements. Can ignore NaN values. Parameters
axis:{0 or ‘index’, 1 or ‘columns’}, default 0
The axis to use. 0 or ‘index’ for row-wise, 1 or ‘columns’ for column-wise.
dropna:bool, default True
Don’t include NaN in the... | |
doc_14216 |
Transform X separately by each transformer, concatenate results. Parameters
X{array-like, dataframe} of shape (n_samples, n_features)
The data to be transformed by subset. Returns
X_t{array-like, sparse matrix} of shape (n_samples, sum_n_components)
hstack of results of transformers. sum_n_components is... | |
doc_14217 | returns the squared Euclidean length of the vector. length_squared() -> float calculates the Euclidean length of the vector which follows from the Pythagorean theorem: vec.length_squared() == vec.x**2 + vec.y**2 + vec.z**2. This is faster than vec.length() because it avoids the square root. | |
doc_14218 |
Initialize self. See help(type(self)) for accurate signature. | |
doc_14219 |
Get 3D world limits. | |
doc_14220 |
input_type: 'url'
template_name: 'django/forms/widgets/url.html'
Renders as: <input type="url" ...> | |
doc_14221 | See Migration guide for more details. tf.compat.v1.raw_ops.StatelessRandomUniformFullIntV2
tf.raw_ops.StatelessRandomUniformFullIntV2(
shape, key, counter, alg, dtype=tf.dtypes.uint64, name=None
)
The generated values are uniform integers covering the whole range of dtype. The outputs are a deterministic functio... | |
doc_14222 | Create a TCP server (socket type SOCK_STREAM) listening on port of the host address. Returns a Server object. Arguments:
protocol_factory must be a callable returning a protocol implementation.
The host parameter can be set to several types which determine where the server would be listening: If host is a string, t... | |
doc_14223 | Get a regular expression that can be used with the regex function to recognize a positive response to a yes/no question. Note The expression is in the syntax suitable for the regex() function from the C library, which might differ from the syntax used in re. | |
doc_14224 | Represents the C double datatype. The constructor accepts an optional float initializer. | |
doc_14225 | See Migration guide for more details. tf.compat.v1.data.experimental.take_while
tf.data.experimental.take_while(
predicate
)
Args
predicate A function that maps a nested structure of tensors (having shapes and types defined by self.output_shapes and self.output_types) to a scalar tf.bool tensor.
... | |
doc_14226 | os.F_TLOCK
os.F_ULOCK
os.F_TEST
Flags that specify what action lockf() will take. Availability: Unix. New in version 3.3. | |
doc_14227 |
Decorator for registering a class under a name. Example use: @registry.register(name)
class Foo:
pass | |
doc_14228 | jsonify responses will be output with newlines, spaces, and indentation for easier reading by humans. Always enabled in debug mode. Default: False | |
doc_14229 | See Migration guide for more details. tf.compat.v1.sparse.reduce_sum
tf.compat.v1.sparse_reduce_sum(
sp_input, axis=None, keepdims=None, reduction_axes=None, keep_dims=None
)
Warning: SOME ARGUMENTS ARE DEPRECATED: (keep_dims). They will be removed in a future version. Instructions for updating: keep_dims is dep... | |
doc_14230 | See torch.rsqrt() | |
doc_14231 |
Kernel which is composed of a set of other kernels. New in version 0.18. Parameters
kernelslist of Kernels
The other kernels 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-... | |
doc_14232 |
Set the center of the annulus. Parameters
xy(float, float) | |
doc_14233 | The test client that was used to make the request that resulted in the response. | |
doc_14234 |
Call decision_function on the estimator with the best found parameters. Only available if refit=True and the underlying estimator supports decision_function. Parameters
Xindexable, length n_samples
Must fulfill the input assumptions of the underlying estimator. | |
doc_14235 | tf.compat.v1.losses.softmax_cross_entropy(
onehot_labels, logits, weights=1.0, label_smoothing=0, scope=None,
loss_collection=tf.GraphKeys.LOSSES, reduction=Reduction.SUM_BY_NONZERO_WEIGHTS
)
weights acts as a coefficient for the loss. If a scalar is provided, then the loss is simply scaled by the given value.... | |
doc_14236 |
Return the full string representation of the value with the position unspecified. | |
doc_14237 |
Set the alpha value used for blending - not supported on all backends. Parameters
alphaarray-like or scalar or None
All values must be within the 0-1 range, inclusive. Masked values and nans are not supported. | |
doc_14238 |
Move forward in the view lim stack. For convenience of being directly connected as a GUI callback, which often get passed additional parameters, this method accepts arbitrary parameters, but does not use them. | |
doc_14239 |
Broadcasts a tensor to specified GPU devices. Parameters
tensor (Tensor) – tensor to broadcast. Can be on CPU or GPU.
devices (Iterable[torch.device, str or int], optional) – an iterable of GPU devices, among which to broadcast.
out (Sequence[Tensor], optional, keyword-only) – the GPU tensors to store output re... | |
doc_14240 |
Return the clip path with the non-affine part of its transformation applied, and the remaining affine part of its transformation. | |
doc_14241 | Sorts the elements of the input tensor along its first dimension in ascending order by value. Note torch.msort(t) is equivalent to torch.sort(t, dim=0)[0]. See also torch.sort(). Parameters
input (Tensor) – the input tensor. Keyword Arguments
out (Tensor, optional) – the output tensor. Example: >>> t = torch.ra... | |
doc_14242 | Tell the driver that there is likely to be a pause in the output, making it possible for the device to handle the pause more intelligently. You might use this after playing a spot sound effect, before waiting for user input, or before doing disk I/O. | |
doc_14243 | Optional. This property returns a Paginator for items(). If you generate sitemaps in a batch you may want to override this as a cached property in order to avoid multiple items() calls. | |
doc_14244 |
Format Timedelta as ISO 8601 Duration like P[n]Y[n]M[n]DT[n]H[n]M[n]S, where the [n] s are replaced by the values. See https://en.wikipedia.org/wiki/ISO_8601#Durations. Returns
str
See also Timestamp.isoformat
Function is used to convert the given Timestamp object into the ISO format. Notes The longest co... | |
doc_14245 | Deprecated since version 2.3: Use mkstemp() instead. Return an absolute pathname of a file that did not exist at the time the call is made. The prefix, suffix, and dir arguments are similar to those of mkstemp(), except that bytes file names, suffix=None and prefix=None are not supported. Warning Use of this functio... | |
doc_14246 | See Migration guide for more details. tf.compat.v1.raw_ops.Conj
tf.raw_ops.Conj(
input, name=None
)
Given a tensor input of complex numbers, this operation returns a tensor of complex numbers that are the complex conjugate of each element in input. The complex numbers in input must be of the form \(a + bj\), whe... | |
doc_14247 | Create a new SMTPChannel object which manages the communication between the server and a single SMTP client. conn and addr are as per the instance variables described below. data_size_limit specifies the maximum number of bytes that will be accepted in a DATA command. A value of None or 0 means no limit. enable_SMTPUTF... | |
doc_14248 | Exception raised when a response code in the range 400–499 is received. | |
doc_14249 | Applies the logical operation and between each operand’s digits. | |
doc_14250 | sklearn.model_selection.cross_val_predict(estimator, X, y=None, *, groups=None, cv=None, n_jobs=None, verbose=0, fit_params=None, pre_dispatch='2*n_jobs', method='predict') [source]
Generate cross-validated estimates for each input data point The data is split according to the cv parameter. Each sample belongs to exa... | |
doc_14251 | See Migration guide for more details. tf.compat.v1.math.squared_difference, tf.compat.v1.squared_difference
tf.math.squared_difference(
x, y, name=None
)
Note: math.squared_difference supports broadcasting. More about broadcasting here
Args
x A Tensor. Must be one of the following types: bfloat16, hal... | |
doc_14252 |
Processes a single input mini-batch through the pipe and returns an RRef pointing to the output. Pipe is a fairly transparent module wrapper. It doesn’t modify the input and output signature of the underlying module. But there’s type restriction. Input and output have to be a Tensor or a sequence of tensors. This res... | |
doc_14253 |
Return a normalized rgba array corresponding to x. In the normal case, x is a 1D or 2D sequence of scalars, and the corresponding ndarray of rgba values will be returned, based on the norm and colormap set for this ScalarMappable. There is one special case, for handling images that are already rgb or rgba, such as mi... | |
doc_14254 |
[Deprecated] Notes Deprecated since version 3.4: | |
doc_14255 |
Callback for mouse button press in pan/zoom mode. | |
doc_14256 | Return a list of the words in the string, using sep as the delimiter string. If maxsplit is given, at most maxsplit splits are done (thus, the list will have at most maxsplit+1 elements). If maxsplit is not specified or -1, then there is no limit on the number of splits (all possible splits are made). If sep is given, ... | |
doc_14257 | This method closes the open mixer device file. Any further attempts to use the mixer after this file is closed will raise an OSError. | |
doc_14258 | In-place version of triu() | |
doc_14259 | sklearn.metrics.davies_bouldin_score(X, labels) [source]
Computes the Davies-Bouldin score. The score is defined as the average similarity measure of each cluster with its most similar cluster, where similarity is the ratio of within-cluster distances to between-cluster distances. Thus, clusters which are farther apa... | |
doc_14260 |
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_14261 | Encodes the URL to a tuple made out of bytes. The charset is only being used for the path, query and fragment. Parameters
charset (str) –
errors (str) – Return type
werkzeug.urls.BytesURL | |
doc_14262 | optimizer = optim.Adam([var1, var2], lr=0.0001)
Per-parameter options Optimizer s also support specifying per-parameter options. To do this, instead of passing an iterable of Variable s, pass in an iterable of dict s. Each of them will define a separate parameter group, and should contain a params key, containing a li... | |
doc_14263 | For a match m, return the 2-tuple (m.start(group), m.end(group)). Note that if group did not contribute to the match, this is (-1, -1). group defaults to zero, the entire match. | |
doc_14264 |
Bases: matplotlib.transforms.Affine2DBase A transformation that translates by xt and yt, after xt and yt have been transformed by scale_trans. Parameters
shorthand_namestr
A string representing the "name" of the transform. The name carries no significance other than to improve the readability of str(transform) ... | |
doc_14265 | Set the current position of file descriptor fd to position pos, modified by how: SEEK_SET or 0 to set the position relative to the beginning of the file; SEEK_CUR or 1 to set it relative to the current position; SEEK_END or 2 to set it relative to the end of the file. Return the new cursor position in bytes, starting f... | |
doc_14266 | An exception raised by DocTestRunner to signal that a doctest example raised an unexpected exception. The constructor arguments are used to initialize the attributes of the same names. | |
doc_14267 |
Mixin class for ImageMagick output. To be useful this must be multiply-inherited from with a MovieWriterBase sub-class. __init__(*args, **kwargs)
Methods
__init__(*args, **kwargs)
bin_path()
isAvailable() Attributes
delay
output_args classmethodbin_path()[source]
propertydelay
classme... | |
doc_14268 | sklearn.datasets.fetch_lfw_people(*, data_home=None, funneled=True, resize=0.5, min_faces_per_person=0, color=False, slice_=slice(70, 195, None), slice(78, 172, None), download_if_missing=True, return_X_y=False) [source]
Load the Labeled Faces in the Wild (LFW) people dataset (classification). Download it if necessar... | |
doc_14269 | Release a lock. This can be called from any thread, not only the thread which has acquired the lock. When the lock is locked, reset it to unlocked, and return. If any other threads are blocked waiting for the lock to become unlocked, allow exactly one of them to proceed. When invoked on an unlocked lock, a RuntimeError... | |
doc_14270 | The model field class to use. | |
doc_14271 |
Return whether the mouse event occurred inside the axis-aligned bounding-box of the text. | |
doc_14272 | tf.reduce_all
tf.math.reduce_all(
input_tensor, axis=None, keepdims=False, name=None
)
Reduces input_tensor along the dimensions given in axis. Unless keepdims is true, the rank of the tensor is reduced by 1 for each of the entries in axis, which must be unique. If keepdims is true, the reduced dimensions are re... | |
doc_14273 | An alternative event loop policy that uses the SelectorEventLoop event loop implementation. Availability: Windows. | |
doc_14274 | tf.reduce_prod
tf.math.reduce_prod(
input_tensor, axis=None, keepdims=False, name=None
)
Reduces input_tensor along the dimensions given in axis. Unless keepdims is true, the rank of the tensor is reduced by 1 for each entry in axis. If keepdims is true, the reduced dimensions are retained with length 1. If axis... | |
doc_14275 |
Return the CapStyle for solid lines. See also set_solid_capstyle. | |
doc_14276 | (Only supported on BSD.) Returns a kernel queue object; see section Kqueue Objects below for the methods supported by kqueue objects. The new file descriptor is non-inheritable. Changed in version 3.4: The new file descriptor is now non-inheritable. | |
doc_14277 | Trace a minimum cost path through the pre-calculated traceback array. This convenience function reconstructs the the minimum cost path to a given end position from one of the starting indices provided to find_costs(), which must have been called previously. This function can be called as many times as desired after fin... | |
doc_14278 |
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_14279 | See Migration guide for more details. tf.compat.v1.python_io.TFRecordCompressionType
Class Variables
GZIP 2
NONE 0
ZLIB 1 | |
doc_14280 |
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... | |
doc_14281 |
Kernel ridge regression. Kernel ridge regression (KRR) combines ridge regression (linear least squares with l2-norm regularization) with the kernel trick. It thus learns a linear function in the space induced by the respective kernel and the data. For non-linear kernels, this corresponds to a non-linear function in t... | |
doc_14282 | A generic version of contextlib.AbstractAsyncContextManager. New in version 3.5.4. New in version 3.6.2. Deprecated since version 3.9: contextlib.AbstractAsyncContextManager now supports []. See PEP 585 and Generic Alias Type. | |
doc_14283 | Return the population standard deviation (the square root of the population variance). See pvariance() for arguments and other details. >>> pstdev([1.5, 2.5, 2.5, 2.75, 3.25, 4.75])
0.986893273527251 | |
doc_14284 | See Migration guide for more details. tf.compat.v1.raw_ops.Zeta
tf.raw_ops.Zeta(
x, q, name=None
)
The Hurwitz zeta function is defined as: \(\zeta(x, q) = \sum_{n=0}^{\infty} (q + n)^{-x}\)
Args
x A Tensor. Must be one of the following types: float32, float64.
q A Tensor. Must have the same type ... | |
doc_14285 |
Predict multi-output variable using a model
trained for each target variable. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
Data. Returns
y{array-like, sparse matrix} of shape (n_samples, n_outputs)
Multi-output targets predicted across multiple predictors. Note: Separate ... | |
doc_14286 |
Decorator indicating that parameter old of func is renamed to new. The actual implementation of func should use new, not old. If old is passed to func, a DeprecationWarning is emitted, and its value is used, even if new is also passed by keyword (this is to simplify pyplot wrapper functions, which always pass new exp... | |
doc_14287 | Represents the C unsigned short datatype. The constructor accepts an optional integer initializer; no overflow checking is done. | |
doc_14288 | See Migration guide for more details. tf.compat.v1.math.unsorted_segment_sum, tf.compat.v1.unsorted_segment_sum
tf.math.unsorted_segment_sum(
data, segment_ids, num_segments, name=None
)
Read the section on segmentation for an explanation of segments. Computes a tensor such that \(output[i] = \sum_{j...} data[j.... | |
doc_14289 | This class attribute gives the exception raised by the test method. If a test framework needs to use a specialized exception, possibly to carry additional information, it must subclass this exception in order to “play fair” with the framework. The initial value of this attribute is AssertionError. | |
doc_14290 | This function is called unconditionally after tearDownModule(), or after setUpModule() if setUpModule() raises an exception. It is responsible for calling all the cleanup functions added by addCleanupModule(). If you need cleanup functions to be called prior to tearDownModule() then you can call doModuleCleanups() your... | |
doc_14291 | A convenience method which coerces the option in the specified section to an integer. See get() for explanation of raw, vars and fallback. | |
doc_14292 |
Set 3D y limits. See matplotlib.axes.Axes.set_ylim() for full documentation. | |
doc_14293 |
Set the colormap to 'plasma'. 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_14294 | Try to set the audio sampling rate to samplerate samples per second. Returns the rate actually set. Most sound devices don’t support arbitrary sampling rates. Common rates are:
Rate Description
8000 default rate for /dev/audio
11025 speech recording
22050
44100 CD quality audio (at 16 bits/sample and 2 cha... | |
doc_14295 | See Migration guide for more details. tf.compat.v1.estimator.FinalOpsHook, tf.compat.v1.train.FinalOpsHook
tf.estimator.FinalOpsHook(
final_ops, final_ops_feed_dict=None
)
Args
final_ops A single Tensor, a list of Tensors or a dictionary of names to Tensors.
final_ops_feed_dict A feed dictionary t... | |
doc_14296 | The formfield_for_foreignkey method on a ModelAdmin allows you to override the default formfield for a foreign keys field. For example, to return a subset of objects for this foreign key field based on the user: class MyModelAdmin(admin.ModelAdmin):
def formfield_for_foreignkey(self, db_field, request, **kwargs):
... | |
doc_14297 |
Return the plugin’s representation and data. Returns
imagearray, same shape as self.image_viewer.image, or None
The filtered image.
dataNone
Any data associated with the plugin. Notes Derived classes should override this method to return a tuple containing an overlay of the same shape of the image, and ... | |
doc_14298 | 'DEFAULT_PARSER_CLASSES': [
'rest_framework.parsers.JSONParser',
]
}
You can also set the parsers used for an individual view, or viewset, using the APIView class-based views. from rest_framework.parsers import JSONParser
from rest_framework.response import Response
from rest_framework.views import API... | |
doc_14299 |
Handler for RegularPolyCollections. Parameters
numpointsint
Number of points to show in legend entry.
yoffsetsarray of floats
Length numpoints list of y offsets for each point in legend entry. **kwargs
Keyword arguments forwarded to HandlerNpoints. create_artists(legend, orig_handle, xdescent, ydesc... |
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