_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_21800 | Abstract base class for asyncio-compliant event loops. The Event Loop Methods section lists all methods that an alternative implementation of AbstractEventLoop should have defined. | |
doc_21801 | Convert the header set into an HTTP header string. | |
doc_21802 |
Check if domains match. New in version 1.6.0. Parameters
otherclass instance
The other class must have the domain attribute. Returns
boolboolean
True if the domains are the same, False otherwise. | |
doc_21803 | Pareto distribution. alpha is the shape parameter. | |
doc_21804 | Updates the values in the config from a Python file. This function behaves as if the file was imported as module with the from_object() function. Parameters
filename (str) – the filename of the config. This can either be an absolute filename or a filename relative to the root path.
silent (bool) – set to True if y... | |
doc_21805 |
Set the parameters of this kernel. The method works on simple kernels as well as on nested kernels. The latter have parameters of the form <component>__<parameter> so that it’s possible to update each component of a nested object. Returns
self | |
doc_21806 |
Remove a callback based on its observer id. See also add_callback | |
doc_21807 |
Set a label that will be displayed in the legend. Parameters
sobject
s will be converted to a string by calling str. | |
doc_21808 | Represent a single frame in the traceback or stack that is being formatted or printed. It may optionally have a stringified version of the frames locals included in it. If lookup_line is False, the source code is not looked up until the FrameSummary has the line attribute accessed (which also happens when casting it to... | |
doc_21809 | Return a possibly-empty list of path names that match pathname, which must be a string containing a path specification. pathname can be either absolute (like /usr/src/Python-1.5/Makefile) or relative (like ../../Tools/*/*.gif), and can contain shell-style wildcards. Broken symlinks are included in the results (as in th... | |
doc_21810 |
Bases: matplotlib.artist.Artist A table of cells. The table consists of a grid of cells, which are indexed by (row, column). For a simple table, you'll have a full grid of cells with indices from (0, 0) to (num_rows-1, num_cols-1), in which the cell (0, 0) is positioned at the top left. However, you can also add cell... | |
doc_21811 | Create a Unix connection. The socket family will be AF_UNIX; socket type will be SOCK_STREAM. A tuple of (transport, protocol) is returned on success. path is the name of a Unix domain socket and is required, unless a sock parameter is specified. Abstract Unix sockets, str, bytes, and Path paths are supported. See the ... | |
doc_21812 | Return the time in seconds since the Epoch, given the cert_time string representing the “notBefore” or “notAfter” date from a certificate in "%b %d %H:%M:%S %Y %Z" strptime format (C locale). Here’s an example: >>> import ssl
>>> timestamp = ssl.cert_time_to_seconds("Jan 5 09:34:43 2018 GMT")
>>> timestamp
151514488... | |
doc_21813 | Called when the asynchronous loop detects that a read() call on the channel’s socket will succeed. | |
doc_21814 |
Converts a base 36 string to an integer. | |
doc_21815 |
Return the truth value of (x1 < x2) element-wise. Parameters
x1, x2array_like
Input arrays. If x1.shape != x2.shape, they must be broadcastable to a common shape (which becomes the shape of the output).
outndarray, None, or tuple of ndarray and None, optional
A location into which the result is stored. If p... | |
doc_21816 | operator.__iand__(a, b)
a = iand(a, b) is equivalent to a &= b. | |
doc_21817 | By default, applied filters are preserved on the list view after creating, editing, or deleting an object. You can have filters cleared by setting this attribute to False. | |
doc_21818 | tf.experimental.numpy.float16(
*args, **kwargs
)
Character code: 'e'. Canonical name: np.half. Alias on this platform: np.float16: 16-bit-precision floating-point number type: sign bit, 5 bits exponent, 10 bits mantissa. Methods all
all()
Not implemented (virtual attribute) Class generic exists solely to derive ... | |
doc_21819 | If False, the field will be able to reference proxy models. Default is True. This mirrors the for_concrete_model argument to get_for_model(). | |
doc_21820 | Return the PATH_INFO from the WSGI environment and decode it unless charset is None. Parameters
environ (WSGIEnvironment) – WSGI environment to get the path from.
charset (str) – The charset for the path info, or None if no decoding should be performed.
errors (str) – The decoding error handling. Return type
s... | |
doc_21821 |
Return the cell Text instance. | |
doc_21822 | See Migration guide for more details. tf.compat.v1.keras.activations.hard_sigmoid
tf.keras.activations.hard_sigmoid(
x
)
A faster approximation of the sigmoid activation. For example:
a = tf.constant([-3.0,-1.0, 0.0,1.0,3.0], dtype = tf.float32)
b = tf.keras.activations.hard_sigmoid(a)
b.numpy()
array([0. , 0.3... | |
doc_21823 | See Migration guide for more details. tf.compat.v1.raw_ops.ExperimentalGroupByReducerDataset
tf.raw_ops.ExperimentalGroupByReducerDataset(
input_dataset, key_func_other_arguments, init_func_other_arguments,
reduce_func_other_arguments, finalize_func_other_arguments, key_func, init_func,
reduce_func, final... | |
doc_21824 | Change what’s displayed on the screen to reflect the current contents of the line buffer. This calls rl_redisplay() in the underlying library. | |
doc_21825 | The actual WSGI application. This is not implemented in __call__() so that middlewares can be applied without losing a reference to the app object. Instead of doing this: app = MyMiddleware(app)
It’s a better idea to do this instead: app.wsgi_app = MyMiddleware(app.wsgi_app)
Then you still have the original applicati... | |
doc_21826 | Convert an integer number to a lowercase hexadecimal string prefixed with “0x”. If x is not a Python int object, it has to define an __index__() method that returns an integer. Some examples: >>> hex(255)
'0xff'
>>> hex(-42)
'-0x2a'
If you want to convert an integer number to an uppercase or lower hexadecimal string w... | |
doc_21827 |
Extract an ordered array of unique labels. We don’t allow:
mix of multilabel and multiclass (single label) targets mix of label indicator matrix and anything else, because there are no explicit labels) mix of label indicator matrices of different sizes mix of string and integer labels At the moment, we also don... | |
doc_21828 |
Incremental fit with X. All of X is processed as a single batch. 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.
check_inputbool, default=True
Run check_array on X.
yIgnored
Returns
selfobject
... | |
doc_21829 |
Set multiple properties at once. Supported properties are
Property Description
agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array
alpha array-like or scalar or None
animated bool
antialiased bool or list of bools
array array-like or None
ca... | |
doc_21830 |
Transforms lists of feature-value mappings to vectors. This transformer turns lists of mappings (dict-like objects) of feature names to feature values into Numpy arrays or scipy.sparse matrices for use with scikit-learn estimators. When feature values are strings, this transformer will do a binary one-hot (aka one-of... | |
doc_21831 |
Set the head patch. Parameters
patchBpatches.Patch | |
doc_21832 | The default is True. | |
doc_21833 |
Split the string at the first occurrence of sep. This method splits the string at the first occurrence of sep, and returns 3 elements containing the part before the separator, the separator itself, and the part after the separator. If the separator is not found, return 3 elements containing the string itself, followe... | |
doc_21834 | Remove the module named module_name from sys.modules and delete any byte-compiled files of the module. | |
doc_21835 | See Migration guide for more details. tf.compat.v1.data.experimental.rejection_resample
tf.data.experimental.rejection_resample(
class_func, target_dist, initial_dist=None, seed=None
)
Note: Resampling is performed via rejection sampling; some fraction of the input values will be dropped.
Args
class_fun... | |
doc_21836 | Resizes the self tensor to be the same size as the specified tensor. This is equivalent to self.resize_(tensor.size()). Parameters
memory_format (torch.memory_format, optional) – the desired memory format of Tensor. Default: torch.contiguous_format. Note that memory format of self is going to be unaffected if self.si... | |
doc_21837 |
Get the factor by which to magnify images passed to draw_image(). Allows a backend to have images at a different resolution to other artists. | |
doc_21838 |
Computes an orthonormal matrix whose range approximates the range of A. Parameters
A2D array
The input data matrix.
sizeint
Size of the return array.
n_iterint
Number of power iterations used to stabilize the result.
power_iteration_normalizer{‘auto’, ‘QR’, ‘LU’, ‘none’}, default=’auto’
Whether the ... | |
doc_21839 |
x.__getitem__(y) <==> x[y] Return the item described by i, as a masked array. | |
doc_21840 |
Set whether the 3D axes panels are drawn. Parameters
bbool | |
doc_21841 |
Returns the version of cuDNN | |
doc_21842 |
Make a MultiIndex from a DataFrame. Parameters
df:DataFrame
DataFrame to be converted to MultiIndex.
sortorder:int, optional
Level of sortedness (must be lexicographically sorted by that level).
names:list-like, optional
If no names are provided, use the column names, or tuple of column names if the col... | |
doc_21843 | '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_21844 | See Migration guide for more details. tf.compat.v1.unstack
tf.unstack(
value, num=None, axis=0, name='unstack'
)
Unpacks num tensors from value by chipping it along the axis dimension. If num is not specified (the default), it is inferred from value's shape. If value.shape[axis] is not known, ValueError is raise... | |
doc_21845 | Loads a configuration from an environment variable pointing to a configuration file. This is basically just a shortcut with nicer error messages for this line of code: app.config.from_pyfile(os.environ['YOURAPPLICATION_SETTINGS'])
Parameters
variable_name (str) – name of the environment variable
silent (bool) – s... | |
doc_21846 | A SQLite database connection has the following attributes and methods:
isolation_level
Get or set the current default isolation level. None for autocommit mode or one of “DEFERRED”, “IMMEDIATE” or “EXCLUSIVE”. See section Controlling Transactions for a more detailed explanation.
in_transaction
True if a trans... | |
doc_21847 |
Return the current hatching pattern. | |
doc_21848 | assert the mock has been called with the specified calls. The mock_calls list is checked for the calls. If any_order is false then the calls must be sequential. There can be extra calls before or after the specified calls. If any_order is true then the calls can be in any order, but they must all appear in mock_calls. ... | |
doc_21849 | class sklearn.preprocessing.KernelCenterer [source]
Center a kernel matrix. Let K(x, z) be a kernel defined by phi(x)^T phi(z), where phi is a function mapping x to a Hilbert space. KernelCenterer centers (i.e., normalize to have zero mean) the data without explicitly computing phi(x). It is equivalent to centering p... | |
doc_21850 | Returns an iterator over module parameters. This is typically passed to an optimizer. Parameters
recurse (bool) – if True, then yields parameters of this module and all submodules. Otherwise, yields only parameters that are direct members of this module. Yields
Parameter – module parameter Example: >>> for param ... | |
doc_21851 | Return the list of items for a given key. If that key is not in the Headers, the return value will be an empty list. Just like get(), getlist() accepts a type parameter. All items will be converted with the callable defined there. Changelog New in version 0.9: Added support for as_bytes. Parameters
key – The key ... | |
doc_21852 |
Roll provided date forward to next offset only if not on offset. Returns
TimeStamp
Rolled timestamp if not on offset, otherwise unchanged timestamp. | |
doc_21853 | See Migration guide for more details. tf.compat.v1.tpu.experimental.embedding.SGD
tf.tpu.experimental.embedding.SGD(
learning_rate: Union[float, Callable[[], float]] = 0.01,
clip_weight_min: Optional[float] = None,
clip_weight_max: Optional[float] = None,
weight_decay_factor: Optional[float] = None,
... | |
doc_21854 |
Use sort_values instead. | |
doc_21855 | Return the absolute value of a number. The argument may be an integer, a floating point number, or an object implementing __abs__(). If the argument is a complex number, its magnitude is returned. | |
doc_21856 |
Observer module for computing the quantization parameters based on the running per channel min and max values. This observer uses the tensor min/max statistics to compute the per channel quantization parameters. The module records the running minimum and maximum of incoming tensors, and uses this statistic to compute... | |
doc_21857 |
Predict using the linear model. Parameters
Xarray-like or sparse matrix, shape (n_samples, n_features)
Samples. Returns
Carray, shape (n_samples,)
Returns predicted values. | |
doc_21858 |
Select values between particular times of the day (e.g., 9:00-9:30 AM). By setting start_time to be later than end_time, you can get the times that are not between the two times. Parameters
start_time:datetime.time or str
Initial time as a time filter limit.
end_time:datetime.time or str
End time as a time ... | |
doc_21859 | See Migration guide for more details. tf.compat.v1.raw_ops.BoostedTreesAggregateStats
tf.raw_ops.BoostedTreesAggregateStats(
node_ids, gradients, hessians, feature, max_splits, num_buckets, name=None
)
The summary stats contains gradients and hessians accumulated for each node, feature dimension id and bucket.
... | |
doc_21860 | In-place version of sinh() | |
doc_21861 | sklearn.metrics.pairwise.paired_manhattan_distances(X, Y) [source]
Compute the L1 distances between the vectors in X and Y. Read more in the User Guide. Parameters
Xarray-like of shape (n_samples, n_features)
Yarray-like of shape (n_samples, n_features)
Returns
distancesndarray of shape (n_samples,) | |
doc_21862 |
True if this transform is separable in the x- and y- dimensions. | |
doc_21863 | Set the internal flag to true. All threads waiting for it to become true are awakened. Threads that call wait() once the flag is true will not block at all. | |
doc_21864 |
Append a collection of Index options together. Parameters
other:Index or list/tuple of indices
Returns
Index | |
doc_21865 |
Power transforms are a family of parametric, monotonic transformations that are applied to make data more Gaussian-like. This is useful for modeling issues related to heteroscedasticity (non-constant variance), or other situations where normality is desired. Currently, power_transform supports the Box-Cox transform a... | |
doc_21866 | class sklearn.cluster.FeatureAgglomeration(n_clusters=2, *, affinity='euclidean', memory=None, connectivity=None, compute_full_tree='auto', linkage='ward', pooling_func=<function mean>, distance_threshold=None, compute_distances=False) [source]
Agglomerate features. Similar to AgglomerativeClustering, but recursively... | |
doc_21867 | Declares object to be a valid constructor. If object is not callable (and hence not valid as a constructor), raises TypeError. | |
doc_21868 | Parameters
fun – a function with two arguments which will be called with the coordinates of the clicked point on the canvas
btn – number of the mouse-button, defaults to 1 (left mouse button)
add – True or False – if True, a new binding will be added, otherwise it will replace a former binding Bind fun to mous... | |
doc_21869 |
Return a function that checks whether a point is in a circle with center (cx, cy) and radius r. The returned function has the signature: f(xy: tuple[float, float]) -> bool | |
doc_21870 | tf.data.TFRecordDataset(
filenames, compression_type=None, buffer_size=None, num_parallel_reads=None
)
Args
filenames A tf.string tensor or tf.data.Dataset containing one or more filenames.
compression_type (Optional.) A tf.string scalar evaluating to one of "" (no compression), "ZLIB", or "GZIP". ... | |
doc_21871 |
Given a dvi font object, return a name suitable for Op.selectfont. This registers the font information in self.dviFontInfo if not yet registered. | |
doc_21872 | Returns the contents of the Request-rate parameter from robots.txt as a named tuple RequestRate(requests, seconds). If there is no such parameter or it doesn’t apply to the useragent specified or the robots.txt entry for this parameter has invalid syntax, return None. New in version 3.6. | |
doc_21873 |
Other Members
DEBUG 10
ERROR 40
FATAL 50
INFO 20
WARN 30 | |
doc_21874 |
Return the picking behavior of the artist. The possible values are described in set_picker. See also
set_picker, pickable, pick | |
doc_21875 |
Get the artist's bounding box in display space. The bounding box' width and height are nonnegative. Subclasses should override for inclusion in the bounding box "tight" calculation. Default is to return an empty bounding box at 0, 0. Be careful when using this function, the results will not update if the artist windo... | |
doc_21876 | See Migration guide for more details. tf.compat.v1.raw_ops.ResourceApplyAdagradDA
tf.raw_ops.ResourceApplyAdagradDA(
var, gradient_accumulator, gradient_squared_accumulator, grad, lr, l1, l2,
global_step, use_locking=False, name=None
)
Args
var A Tensor of type resource. Should be from a Variable().... | |
doc_21877 |
Return the font variant as a string. See also font_manager.FontProperties.get_variant | |
doc_21878 | See Migration guide for more details. tf.compat.v1.math.reduce_std
tf.math.reduce_std(
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 uniqu... | |
doc_21879 | This option causes child processes to be reported if they have been continued from a job control stop since their status was last reported. Availability: some Unix systems. | |
doc_21880 | tf.losses.LogCosh Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.LogCosh
tf.keras.losses.LogCosh(
reduction=losses_utils.ReductionV2.AUTO, name='log_cosh'
)
logcosh = log((exp(x) + exp(-x))/2), where x is the error y_pred - y_true. Standalone usage:
y_true = [[0., 1... | |
doc_21881 |
Set multiple properties at once. Supported properties are
Property Description
agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array
alpha scalar or None
animated bool
antialiased or aa bool or None
capstyle CapStyle or {'butt', 'projecting', 'r... | |
doc_21882 |
Creates a criterion that measures the Binary Cross Entropy between the target and the output: The unreduced (i.e. with reduction set to 'none') loss can be described as: ℓ(x,y)=L={l1,…,lN}⊤,ln=−wn[yn⋅logxn+(1−yn)⋅log(1−xn)],\ell(x, y) = L = \{l_1,\dots,l_N\}^\top, \quad l_n = - w_n \left[ y_n \cdot \log x_n + (1 -... | |
doc_21883 |
Return whether units are set on any axis. | |
doc_21884 |
Draw the Artist (and its children) using the given renderer. This has no effect if the artist is not visible (Artist.get_visible returns False). Parameters
rendererRendererBase subclass.
Notes This method is overridden in the Artist subclasses. | |
doc_21885 | This reads the buffered incoming data from the client into one bytes object. By default this is cached but that behavior can be changed by setting cache to False. Usually it’s a bad idea to call this method without checking the content length first as a client could send dozens of megabytes or more to cause memory prob... | |
doc_21886 |
Define basic tools for triangular mesh analysis and improvement. A TriAnalyzer encapsulates a Triangulation object and provides basic tools for mesh analysis and mesh improvement. Parameters
triangulationTriangulation
The encapsulated triangulation to analyze. Attributes
scale_factors
Factors to rescale t... | |
doc_21887 | See Migration guide for more details. tf.compat.v1.math.special.spence
tf.math.special.spence(
x, name=None
)
Spence's integral is defined as the integral of log(t) / (1 - t) from 1 to x, with the domain of definition all non-negative real numbers.
tf.math.special.spence([0.5, 1., 2., 3.]).numpy()
array([ 0.582... | |
doc_21888 | Returns the mean value of all elements in the input tensor. Parameters
input (Tensor) – the input tensor. Example: >>> a = torch.randn(1, 3)
>>> a
tensor([[ 0.2294, -0.5481, 1.3288]])
>>> torch.mean(a)
tensor(0.3367)
torch.mean(input, dim, keepdim=False, *, out=None) → Tensor
Returns the mean value of each ro... | |
doc_21889 |
Bases: matplotlib.units.ConversionInterface staticaxisinfo(unit, axis)[source]
Set the default axis ticks and labels. Parameters
unitUnitData
object string unit information for value
axisAxis
axis for which information is being set Note axis is not used Returns
AxisInfo
Information to support de... | |
doc_21890 |
Return the elements in the given positional indices along an axis. This means that we are not indexing according to actual values in the index attribute of the object. We are indexing according to the actual position of the element in the object. Parameters
indices:array-like
An array of ints indicating which p... | |
doc_21891 | Returns a list of all hyperparameter specifications. | |
doc_21892 |
Return the path of this patch. | |
doc_21893 | Font vertical mode vertical -> bool Gets or sets whether the characters are laid out vertically rather than horizontally. May be useful when rendering Kanji or some other vertical script. Set to True to switch to a vertical text layout. The default is False, place horizontally. Note that the Font class does not autom... | |
doc_21894 | This routine loads a SQLite extension from a shared library. You have to enable extension loading with enable_load_extension() before you can use this routine. Loadable extensions are disabled by default. See 1. New in version 3.2. | |
doc_21895 | pyplot matplotlib.pyplot is a state-based interface to matplotlib. matplotlib.pyplot.plotting()[source]
Function Description
acorr Plot the autocorrelation of x.
angle_spectrum Plot the angle spectrum.
annotate Annotate the point xy with text text.
arrow Add an arrow to the Axes.
autoscale Autoscale... | |
doc_21896 |
Compute the magnitude (absolute value) of the frequency spectrum of x. Data is padded to a length of pad_to and the windowing function window is applied to the signal. Parameters
x1-D array or sequence
Array or sequence containing the data
Fsfloat, default: 2
The sampling frequency (samples per time unit). ... | |
doc_21897 |
This DDP communication hook implements a simplified PowerSGD gradient compression algorithm described in the paper. This variant does not compress the gradients layer by layer, but instead compresses the flattened input tensor that batches all the gradients. Therefore, it is faster than powerSGD_hook(), but usually r... | |
doc_21898 |
Returns the cumulative density/mass function evaluated at value. Parameters
value (Tensor) – | |
doc_21899 |
Make a plot with log scaling on the y axis. Call signatures: semilogy([x], y, [fmt], data=None, **kwargs)
semilogy([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)
This is just a thin wrapper around plot which additionally changes the y-axis to log scaling. All of the concepts and parameters of plot can be used here ... |
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