_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_18100 | Set the quitting attribute to True. This raises BdbQuit in the next call to one of the dispatch_*() methods. | |
doc_18101 | class sklearn.feature_selection.SelectFromModel(estimator, *, threshold=None, prefit=False, norm_order=1, max_features=None, importance_getter='auto') [source]
Meta-transformer for selecting features based on importance weights. New in version 0.17. Read more in the User Guide. Parameters
estimatorobject
The ... | |
doc_18102 |
Callback processing for pick events. This method will be called by artists who are picked and will fire off PickEvent callbacks registered listeners. Note that artists are not pickable by default (see Artist.set_picker). | |
doc_18103 | Write a row with the field names (as specified in the constructor) to the writer’s file object, formatted according to the current dialect. Return the return value of the csvwriter.writerow() call used internally. New in version 3.2. Changed in version 3.8: writeheader() now also returns the value returned by the cs... | |
doc_18104 | Set the featurename to value. If the feature is not recognized, SAXNotRecognizedException is raised. If the feature or its setting is not supported by the parser, SAXNotSupportedException is raised. | |
doc_18105 | Send a file using high-performance os.sendfile if possible. Return the total number of bytes sent. Asynchronous version of socket.sendfile(). sock must be a non-blocking socket.SOCK_STREAM socket. file must be a regular file object open in binary mode. offset tells from where to start reading the file. If specified, co... | |
doc_18106 |
A copy of the seven-element boolean mask indicating valid days. | |
doc_18107 | An abstract method to return the bytes for the data located at path. Loaders that have a file-like storage back-end that allows storing arbitrary data can implement this abstract method to give direct access to the data stored. OSError is to be raised if the path cannot be found. The path is expected to be constructed ... | |
doc_18108 |
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_18109 | Create an application archive from source. The source can be any of the following: The name of a directory, or a path-like object referring to a directory, in which case a new application archive will be created from the content of that directory. The name of an existing application archive file, or a path-like object... | |
doc_18110 |
Adjust the subplot layout parameters. Unset parameters are left unmodified; initial values are given by rcParams["figure.subplot.[name]"]. Parameters
leftfloat, optional
The position of the left edge of the subplots, as a fraction of the figure width.
rightfloat, optional
The position of the right edge of t... | |
doc_18111 |
Set the object that defines floating-point error handling. The error object contains all information that defines the error handling behavior in NumPy. seterrobj is used internally by the other functions that set error handling behavior (seterr, seterrcall). Parameters
errobjlist
The error object, a list contai... | |
doc_18112 | Concrete implementation of Loader.load_module(). Deprecated since version 3.4: Use exec_module() instead. | |
doc_18113 | tf.compat.v1.keras.layers.disable_v2_dtype_behavior()
See tf.compat.v1.keras.layers.enable_v2_dtype_behavior. | |
doc_18114 |
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_18115 | Reverse the order of a n-D tensor along given axis in dims. Note torch.flip makes a copy of input’s data. This is different from NumPy’s np.flip, which returns a view in constant time. Since copying a tensor’s data is more work than viewing that data, torch.flip is expected to be slower than np.flip. Parameters
i... | |
doc_18116 |
alias of matplotlib.backends.backend_cairo.FigureCanvasCairo | |
doc_18117 | See Migration guide for more details. tf.compat.v1.app.flags Modules tf_decorator module: Base TFDecorator class and utility functions for working with decorators. Classes class ArgumentParser: Base class used to parse and convert arguments. class ArgumentSerializer: Base class for generating string representations of... | |
doc_18118 |
Construct an array by repeating A the number of times given by reps. If reps has length d, the result will have dimension of max(d, A.ndim). If A.ndim < d, A is promoted to be d-dimensional by prepending new axes. So a shape (3,) array is promoted to (1, 3) for 2-D replication, or shape (1, 1, 3) for 3-D replication.... | |
doc_18119 | 'blogs.blog': lambda o: "/blogs/%s/" % o.slug,
'news.story': lambda o: "/stories/%s/%s/" % (o.pub_year, o.slug),
}
The model name used in this setting should be all lowercase, regardless of the case of the actual model class name. ADMINS Default: [] (Empty list) A list of all the people who get code error noti... | |
doc_18120 |
Computes the (weighted) graph of k-Neighbors for points in X Parameters
Xarray-like of shape (n_queries, n_features), or (n_queries, n_indexed) if metric == ‘precomputed’, default=None
The query point or points. If not provided, neighbors of each indexed point are returned. In this case, the query point is not ... | |
doc_18121 | Return the result of the Task. If the Task is done, the result of the wrapped coroutine is returned (or if the coroutine raised an exception, that exception is re-raised.) If the Task has been cancelled, this method raises a CancelledError exception. If the Task’s result isn’t yet available, this method raises a Invali... | |
doc_18122 | Returns the next Node in the linked list of Nodes. Returns
The next Node in the linked list of Nodes. | |
doc_18123 | Time of last modification. | |
doc_18124 |
Set the bbox that the legend will be anchored to. Parameters
bboxBboxBase or tuple
The bounding box can be specified in the following ways: A BboxBase instance A tuple of (left, bottom, width, height) in the given transform (normalized axes coordinate if None) A tuple of (left, bottom) where the width and heig... | |
doc_18125 |
The command to stash a skip tensor. def forward(self, input):
yield stash('name', input)
return f(input)
Parameters
name (str) – name of skip tensor
input (torch.Tensor or None) – tensor to pass to the skip connection | |
doc_18126 | Logs an exception. This is called by handle_exception() if debugging is disabled and right before the handler is called. The default implementation logs the exception as error on the logger. Changelog New in version 0.8. Parameters
exc_info (Union[Tuple[type, BaseException, types.TracebackType], Tuple[None, None, N... | |
doc_18127 |
Return the score of the model on the data X. Parameters
Xarray-like of shape (n_samples, n_features)
Test samples.
yIgnored
Not used, present for API consistency by convention. Returns
scorefloat | |
doc_18128 | Wake up at most n tasks (1 by default) waiting on this condition. The method is no-op if no tasks are waiting. The lock must be acquired before this method is called and released shortly after. If called with an unlocked lock a RuntimeError error is raised. | |
doc_18129 |
Other Members
ASSETS_DIRECTORY 'assets'
ASSETS_KEY 'saved_model_assets'
DEBUG_DIRECTORY 'debug'
DEBUG_INFO_FILENAME_PB 'saved_model_debug_info.pb'
LEGACY_INIT_OP_KEY 'legacy_init_op'
MAIN_OP_KEY 'saved_model_main_op'
SAVED_MODEL_FILENAME_PB 'saved_model.pb'
SAVED_MODEL_F... | |
doc_18130 | A list of names of fields. This is interpreted the same way as the Meta.fields attribute of ModelForm. This is a required attribute if you are generating the form class automatically (e.g. using model). Omitting this attribute will result in an ImproperlyConfigured exception. | |
doc_18131 | Returns the ISO-8601 week-numbering year.
lookup_name = 'iso_year' | |
doc_18132 | An alias for blinker.base.Namespace if blinker is available, otherwise a dummy class that creates fake signals. This class is available for Flask extensions that want to provide the same fallback system as Flask itself.
signal(name, doc=None)
Creates a new signal for this namespace if blinker is available, otherwis... | |
doc_18133 | Convenience method for conditional requests. Parameters
environ (WSGIEnvironment) – the WSGI environment of the request to be checked.
etag (Optional[str]) – the etag for the response for comparison.
data (Optional[bytes]) – or alternatively the data of the response to automatically generate an etag using generat... | |
doc_18134 | Which headers can be sent with the cross origin request. | |
doc_18135 |
Keymap to associate with this tool. list[str]: List of keys that will trigger this tool when a keypress event is emitted on self.figure.canvas. | |
doc_18136 |
Create a 3D filled contour plot. Note This method currently produces incorrect output due to a longstanding bug in 3D PolyCollection rendering. Parameters
X, Y, Zarray-like
Input data. See tricontourf for acceptable data shapes.
zdir{'x', 'y', 'z'}, default: 'z'
The direction to use.
offsetfloat, option... | |
doc_18137 |
Add other to self in-place. | |
doc_18138 | Encode the bytes-like object s using Base32 and return the encoded bytes. | |
doc_18139 | Bind the arguments provided into a dict. When passed a function, a tuple of arguments and a dict of keyword arguments bind_arguments returns a dict of names as the function would see it. This can be useful to implement a cache decorator that uses the function arguments to build the cache key based on the values of the ... | |
doc_18140 | Exit code that means an internal software error was detected. Availability: Unix. | |
doc_18141 | Close the stream if it was opened by wave, and make the instance unusable. This is called automatically on object collection. | |
doc_18142 | Parse a Content-Type like header into a tuple with the content type and the options: >>> parse_options_header('text/html; charset=utf8')
('text/html', {'charset': 'utf8'})
This should not be used to parse Cache-Control like headers that use a slightly different format. For these headers use the parse_dict_header() fun... | |
doc_18143 | Return True if the specified window was modified since the last call to refresh(); otherwise return False. | |
doc_18144 |
Generate isotropic Gaussian and label samples by quantile. This classification dataset is constructed by taking a multi-dimensional standard normal distribution and defining classes separated by nested concentric multi-dimensional spheres such that roughly equal numbers of samples are in each class (quantiles of the ... | |
doc_18145 |
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_18146 |
Check, excluding endpoints, whether an interval includes a given value. Parameters
interval(float, float)
The endpoints of the interval.
valfloat
Value to check is within interval. Returns
bool
Whether val is within the interval. | |
doc_18147 |
Fit the model to X. Parameters
Xarray-like of shape (n_samples, n_features)
Training data, where n_samples is the number of samples and n_features is the number of features.
yIgnored
Returns
self | |
doc_18148 |
Compute the 2-dimensional FFT of a real array. Parameters
aarray
Input array, taken to be real.
ssequence of ints, optional
Shape of the FFT.
axessequence of ints, optional
Axes over which to compute the FFT.
norm{“backward”, “ortho”, “forward”}, optional
New in version 1.10.0. Normalization mode ... | |
doc_18149 | tf.equal Compat aliases for migration See Migration guide for more details. tf.compat.v1.equal, tf.compat.v1.math.equal
tf.math.equal(
x, y, name=None
)
Performs a broadcast with the arguments and then an element-wise equality comparison, returning a Tensor of boolean values. For example:
x = tf.constant([2, 4]... | |
doc_18150 | This function attempts to import an admin module in each installed application. Such modules are expected to register models with the admin. Typically you won’t need to call this function directly as AdminConfig calls it when Django starts. | |
doc_18151 | operator.__itruediv__(a, b)
a = itruediv(a, b) is equivalent to a /= b. | |
doc_18152 | If this attribute is set to a callable, the rotate() method delegates to this callable. The parameters passed to the callable are those passed to rotate(). New in version 3.3. | |
doc_18153 |
Boolean thresholding of array-like or scipy.sparse matrix. Read more in the User Guide. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The data to binarize, element by element. scipy.sparse matrices should be in CSR or CSC format to avoid an un-necessary copy.
thresholdfloat, default... | |
doc_18154 |
Randomly permute a sequence, or return a permuted range. Parameters
xint or array_like
If x is an integer, randomly permute np.arange(x). If x is an array, make a copy and shuffle the elements randomly.
axisint, optional
The axis which x is shuffled along. Default is 0. Returns
outndarray
Permuted s... | |
doc_18155 | A concrete datetime.tzinfo subclass that represents an IANA time zone specified by the string key. Calls to the primary constructor will always return objects that compare identically; put another way, barring cache invalidation via ZoneInfo.clear_cache(), for all values of key, the following assertion will always be t... | |
doc_18156 | Take no action. If your database backend enforces referential integrity, this will cause an IntegrityError unless you manually add an SQL ON DELETE constraint to the database field. | |
doc_18157 | tf.experimental.numpy.equal(
x1, x2
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.equal. | |
doc_18158 | See Migration guide for more details. tf.compat.v1.raw_ops.BatchDataset
tf.raw_ops.BatchDataset(
input_dataset, batch_size, output_types, output_shapes, name=None
)
Args
input_dataset A Tensor of type variant.
batch_size A Tensor of type int64. A scalar representing the number of elements to accum... | |
doc_18159 | A read-only property for the median of a normal distribution. | |
doc_18160 |
Reduce dimensionality through sparse random projection. Sparse random matrix is an alternative to dense random projection matrix that guarantees similar embedding quality while being much more memory efficient and allowing faster computation of the projected data. If we note s = 1 / density the components of the rand... | |
doc_18161 |
Compute indexer and mask for new index given the current index. The indexer should be then used as an input to ndarray.take to align the current data to the new index. Parameters
target:Index
method:{None, ‘pad’/’ffill’, ‘backfill’/’bfill’, ‘nearest’}, optional
default: exact matches only. pad / ffill: find ... | |
doc_18162 | Split the string at the last occurrence of sep, and return a 3-tuple containing the part before the separator, the separator itself, and the part after the separator. If the separator is not found, return a 3-tuple containing two empty strings, followed by the string itself. | |
doc_18163 | sklearn.utils.multiclass.is_multilabel(y) [source]
Check if y is in a multilabel format. Parameters
yndarray of shape (n_samples,)
Target values. Returns
outbool
Return True, if y is in a multilabel format, else `False. Examples >>> import numpy as np
>>> from sklearn.utils.multiclass import is_mult... | |
doc_18164 |
Alias for get_linewidth. | |
doc_18165 | (default: '') String that will be prepended to all lines of wrapped output except the first. Counts towards the length of each line except the first. | |
doc_18166 | See Migration guide for more details. tf.compat.v1.raw_ops.BesselJ0
tf.raw_ops.BesselJ0(
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_18167 |
Given the 2D view coordinates attempt to guess a 3D coordinate. Looks for the nearest edge to the point and then assumes that the point is at the same z location as the nearest point on the edge. | |
doc_18168 | Return the sample arithmetic mean of data which can be a sequence or iterable. The arithmetic mean is the sum of the data divided by the number of data points. It is commonly called “the average”, although it is only one of many different mathematical averages. It is a measure of the central location of the data. If da... | |
doc_18169 |
Check if types match. New in version 1.7.0. Parameters
otherobject
Class instance. Returns
boolboolean
True if other is same class as self | |
doc_18170 | Return an embeddable JavaScript snippet, which, if run on a browser which supports JavaScript, will act the same as if the HTTP header was sent. The meaning for attrs is the same as in output(). | |
doc_18171 |
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_18172 | Possible value for SSLContext.verify_mode, or the cert_reqs parameter to wrap_socket(). In client mode, CERT_OPTIONAL has the same meaning as CERT_REQUIRED. It is recommended to use CERT_REQUIRED for client-side sockets instead. In server mode, a client certificate request is sent to the client. The client may either i... | |
doc_18173 |
Pseudo-Vandermonde matrix of given degree. Returns the pseudo-Vandermonde matrix of degree deg and sample points x. The pseudo-Vandermonde matrix is defined by \[V[..., i] = L_i(x)\] where 0 <= i <= deg. The leading indices of V index the elements of x and the last index is the degree of the Laguerre polynomial. If ... | |
doc_18174 | Multiplies mat (given by input3) by the orthogonal Q matrix of the QR factorization formed by torch.geqrf() that is represented by (a, tau) (given by (input, input2)). This directly calls the underlying LAPACK function ?ormqr. See LAPACK documentation for ormqr for further details. Parameters
input (Tensor) – the a... | |
doc_18175 |
Alias for set_edgecolor. | |
doc_18176 | Asserts that a response produced the given status_code and that text does not appear in its content. Set html to True to handle text as HTML. The comparison with the response content will be based on HTML semantics instead of character-by-character equality. Whitespace is ignored in most cases, attribute ordering is no... | |
doc_18177 |
CFFI interface Returns
interfacenamedtuple
Named tuple containing CFFI wrapper state_address - Memory address of the state struct state - pointer to the state struct next_uint64 - function pointer to produce 64 bit integers next_uint32 - function pointer to produce 32 bit integers next_double - function pointe... | |
doc_18178 |
Reduces the tensor data across all machines. Only the process with rank dst is going to receive the final result. Parameters
tensor (Tensor) – Input and output of the collective. The function operates in-place.
dst (int) – Destination rank
op (optional) – One of the values from torch.distributed.ReduceOp enum. ... | |
doc_18179 |
Check if the object is an iterator. This is intended for generators, not list-like objects. Parameters
obj:The object to check
Returns
is_iter:bool
Whether obj is an iterator. Examples
>>> import datetime
>>> is_iterator((x for x in []))
True
>>> is_iterator([1, 2, 3])
False
>>> is_iterator(datetime.... | |
doc_18180 |
Calls str.encode element-wise. See also char.encode | |
doc_18181 |
Bases: matplotlib.collections._CollectionWithSizes A collection of n-sided regular polygons. Parameters
numsidesint
The number of sides of the polygon.
rotationfloat
The rotation of the polygon in radians.
sizestuple of float
The area of the circle circumscribing the polygon in points^2. **kwargs
Forw... | |
doc_18182 | Computes and returns a pruned version of input tensor t according to the pruning rule specified in compute_mask(). Parameters
t (torch.Tensor) – tensor to prune (of same dimensions as default_mask).
importance_scores (torch.Tensor) – tensor of importance scores (of same shape as t) used to compute mask for pruning... | |
doc_18183 | Convert angle x from degrees to radians. | |
doc_18184 | Return True if the path points to a regular file (or a symbolic link pointing to a regular file), False if it points to another kind of file. False is also returned if the path doesn’t exist or is a broken symlink; other errors (such as permission errors) are propagated. | |
doc_18185 |
Use layoutgrid to determine pos positions within Axes. See also set_constrained_layout_pads. Returns
layoutgridprivate debugging object | |
doc_18186 | A dictionary that maps Unicode code points to HTML entity names. | |
doc_18187 | The format string used to construct this Struct object. Changed in version 3.7: The format string type is now str instead of bytes. | |
doc_18188 | tf.random.experimental.Generator Compat aliases for migration See Migration guide for more details. tf.compat.v1.random.Generator, tf.compat.v1.random.experimental.Generator
tf.random.Generator(
copy_from=None, state=None, alg=None
)
Example: Creating a generator from a seed:
g = tf.random.Generator.from_seed(1... | |
doc_18189 | Applies element-wise, the function Softplus(x)=1β∗log(1+exp(β∗x))\text{Softplus}(x) = \frac{1}{\beta} * \log(1 + \exp(\beta * x)) . For numerical stability the implementation reverts to the linear function when input×β>thresholdinput \times \beta > threshold . See Softplus for more details. | |
doc_18190 | A generic version of collections.Counter. New in version 3.5.4. New in version 3.6.1. Deprecated since version 3.9: collections.Counter now supports []. See PEP 585 and Generic Alias Type. | |
doc_18191 | See Migration guide for more details. tf.compat.v1.keras.callbacks.CSVLogger
tf.keras.callbacks.CSVLogger(
filename, separator=',', append=False
)
Supports all values that can be represented as a string, including 1D iterables such as np.ndarray. Example: csv_logger = CSVLogger('training.log')
model.fit(X_train,... | |
doc_18192 | tf.compat.v1.local_variables(
scope=None
)
Local variables - per process variables, usually not saved/restored to checkpoint and used for temporary or intermediate values. For example, they can be used as counters for metrics computation or number of epochs this machine has read data. The tf.contrib.framework.loca... | |
doc_18193 | See Migration guide for more details. tf.compat.v1.raw_ops.BoostedTreesUpdateEnsembleV2
tf.raw_ops.BoostedTreesUpdateEnsembleV2(
tree_ensemble_handle, feature_ids, dimension_ids, node_ids, gains, thresholds,
left_node_contribs, right_node_contribs, split_types, max_depth, learning_rate,
pruning_mode, logi... | |
doc_18194 |
Set the filename of the fontfile to use. In this case, all other properties will be ignored. | |
doc_18195 | operator.__lshift__(a, b)
Return a shifted left by b. | |
doc_18196 | tf.compat.v1.train.noisy_linear_cosine_decay(
learning_rate, global_step, decay_steps, initial_variance=1.0,
variance_decay=0.55, num_periods=0.5, alpha=0.0, beta=0.001, name=None
)
Note that linear cosine decay is more aggressive than cosine decay and larger initial learning rates can typically be used. When ... | |
doc_18197 | Set the state of the decoder to state. state must be a decoder state returned by getstate(). | |
doc_18198 |
Read from the store, close it if we opened it. Retrieve pandas object stored in file, optionally based on where criteria. Warning Pandas uses PyTables for reading and writing HDF5 files, which allows serializing object-dtype data with pickle when using the “fixed” format. Loading pickled data received from untrusted... | |
doc_18199 | class sklearn.model_selection.LeavePGroupsOut(n_groups) [source]
Leave P Group(s) Out cross-validator Provides train/test indices to split data according to a third-party provided group. This group information can be used to encode arbitrary domain specific stratifications of the samples as integers. For instance the... |
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