_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_4800 | A bool indicating whether the memory is read only. | |
doc_4801 | See Migration guide for more details. tf.compat.v1.raw_ops.GetSessionHandleV2
tf.raw_ops.GetSessionHandleV2(
value, name=None
)
Args
value A Tensor. The tensor to be stored.
name A name for the operation (optional).
Returns A Tensor of type resource. | |
doc_4802 | The excel class defines the usual properties of an Excel-generated CSV file. It is registered with the dialect name 'excel'. | |
doc_4803 | Suitable for serializing headers with for use in HTTP traffic. Like SMTP except that max_line_length is set to None (unlimited). | |
doc_4804 | Return a string or byte string containing the XML represented by the DOM node. With an explicit encoding 1 argument, the result is a byte string in the specified encoding. With no encoding argument, the result is a Unicode string, and the XML declaration in the resulting string does not specify an encoding. Encoding th... | |
doc_4805 | See Migration guide for more details. tf.compat.v1.signal.kaiser_window
tf.signal.kaiser_window(
window_length, beta=12.0, dtype=tf.dtypes.float32, name=None
)
Args
window_length A scalar Tensor indicating the window length to generate.
beta Beta parameter for Kaiser window, see reference below. ... | |
doc_4806 |
Draw samples from a Zipf distribution. Samples are drawn from a Zipf distribution with specified parameter a > 1. The Zipf distribution (also known as the zeta distribution) is a discrete probability distribution that satisfies Zipf’s law: the frequency of an item is inversely proportional to its rank in a frequency ... | |
doc_4807 |
Apply only the affine part of this transformation on the given array of values. transform(values) is always equivalent to transform_affine(transform_non_affine(values)). In non-affine transformations, this is generally a no-op. In affine transformations, this is equivalent to transform(values). Parameters
valuesa... | |
doc_4808 | Optional The value for the month, as a string. By default, set to None, which means the month will be determined using other means. | |
doc_4809 |
Set the artist's clip Bbox. Parameters
clipboxBbox | |
doc_4810 |
Return the indices of the segments in the polyline with coordinates (cx, cy) that are within a distance radius of the point (x, y). | |
doc_4811 | Returns the number of dimensions of self tensor. | |
doc_4812 |
Convert times to midnight. The time component of the date-time is converted to midnight i.e. 00:00:00. This is useful in cases, when the time does not matter. Length is unaltered. The timezones are unaffected. This method is available on Series with datetime values under the .dt accessor, and directly on Datetime Arr... | |
doc_4813 | See Migration guide for more details. tf.compat.v1.raw_ops.Rsqrt
tf.raw_ops.Rsqrt(
x, name=None
)
I.e., \(y = 1 / \sqrt{x}\).
Args
x A Tensor. Must be one of the following types: bfloat16, half, float32, float64, complex64, complex128.
name A name for the operation (optional).
Returns A ... | |
doc_4814 | If the current node is the owner, returns a reference to the local value. Otherwise, throws an exception. | |
doc_4815 | In-place version of addmv() | |
doc_4816 |
Compute the average log-likelihood of the samples Parameters
Xndarray of shape (n_samples, n_features)
The data
yIgnored
Returns
llfloat
Average log-likelihood of the samples under the current model | |
doc_4817 |
Return series instance that has the specified roots. Returns a series representing the product (x - r[0])*(x - r[1])*...*(x - r[n-1]), where r is a list of roots. Parameters
rootsarray_like
List of roots.
domain{[], None, array_like}, optional
Domain for the resulting series. If None the domain is the inter... | |
doc_4818 | The ListNoteBook widget is very similar to the TixNoteBook widget: it can be used to display many windows in a limited space using a notebook metaphor. The notebook is divided into a stack of pages (windows). At one time only one of these pages can be shown. The user can navigate through these pages by choosing the nam... | |
doc_4819 | Construct an IPv6 address. An AddressValueError is raised if address is not a valid IPv6 address. The following constitutes a valid IPv6 address:
A string consisting of eight groups of four hexadecimal digits, each group representing 16 bits. The groups are separated by colons. This describes an exploded (longhand) n... | |
doc_4820 | """
May be applied as a `default=...` value on a serializer field.
Returns the current user.
"""
requires_context = True
def __call__(self, serializer_field):
return serializer_field.context['request'].user
When serializing the instance, default will be used if the object attribute or ... | |
doc_4821 |
Encode the data as a sparse combination of the dictionary atoms. Coding method is determined by the object parameter transform_algorithm. Parameters
Xndarray of shape (n_samples, n_features)
Test data to be transformed, must have the same number of features as the data used to train the model. Returns
X_n... | |
doc_4822 | Called when the closing tag is reached for an element that contained a namespace declaration. This is called once for each namespace declaration on the element in the reverse of the order for which the StartNamespaceDeclHandler was called to indicate the start of each namespace declaration’s scope. Calls to this handle... | |
doc_4823 | sklearn.metrics.pairwise.chi2_kernel(X, Y=None, gamma=1.0) [source]
Computes the exponential chi-squared kernel X and Y. The chi-squared kernel is computed between each pair of rows in X and Y. X and Y have to be non-negative. This kernel is most commonly applied to histograms. The chi-squared kernel is given by: k(x... | |
doc_4824 | A dictionary of context data that will be added to the default context data passed to the template. | |
doc_4825 |
Alias for set_linewidth. | |
doc_4826 | Called for the end of every element. | |
doc_4827 |
Extract capture groups in the regex pat as columns in a DataFrame. For each subject string in the Series, extract groups from the first match of regular expression pat. Parameters
pat:str
Regular expression pattern with capturing groups.
flags:int, default 0 (no flags)
Flags from the re module, e.g. re.IGNO... | |
doc_4828 |
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_4829 |
An array object represents a multidimensional, homogeneous array of fixed-size items. An associated data-type object describes the format of each element in the array (its byte-order, how many bytes it occupies in memory, whether it is an integer, a floating point number, or something else, etc.) Arrays should be con... | |
doc_4830 | See Migration guide for more details. tf.compat.v1.raw_ops.TensorScatterUpdate
tf.raw_ops.TensorScatterUpdate(
tensor, indices, updates, name=None
)
This operation creates a new tensor by applying sparse updates to the passed in tensor. This operation is very similar to tf.scatter_nd, except that the updates are... | |
doc_4831 |
Alias for self._offset. | |
doc_4832 |
Generate the “Friedman #2” regression problem. This dataset is described in Friedman [1] and Breiman [2]. Inputs X are 4 independent features uniformly distributed on the intervals: 0 <= X[:, 0] <= 100,
40 * pi <= X[:, 1] <= 560 * pi,
0 <= X[:, 2] <= 1,
1 <= X[:, 3] <= 11.
The output y is created according to the fo... | |
doc_4833 |
Repeat elements of an array. Refer to numpy.repeat for full documentation. See also numpy.repeat
equivalent function | |
doc_4834 | value is the current value of the model’s attribute, and the method should return data in a format that has been prepared for use as a parameter in a query. See Converting Python objects to query values for usage. | |
doc_4835 |
Swap levels i and j in a MultiIndex. Default is to swap the two innermost levels of the index. Parameters
i, j:int or str
Levels of the indices to be swapped. Can pass level name as string.
axis:{0 or ‘index’, 1 or ‘columns’}, default 0
The axis to swap levels on. 0 or ‘index’ for row-wise, 1 or ‘columns’ f... | |
doc_4836 |
Return Multiplication of series and other, element-wise (binary operator mul). Equivalent to series * other, but with support to substitute a fill_value for missing data in either one of the inputs. Parameters
other:Series or scalar value
fill_value:None or float value, default None (NaN)
Fill existing missin... | |
doc_4837 |
Applies a 2D fractional max pooling over an input signal composed of several input planes. Fractional MaxPooling is described in detail in the paper Fractional MaxPooling by Ben Graham The max-pooling operation is applied in kH×kWkH \times kW regions by a stochastic step size determined by the target output size. Th... | |
doc_4838 |
Return whether units are set on any axis. | |
doc_4839 |
Return a new dtype with a different byte order. Changes are also made in all fields and sub-arrays of the data type. Parameters
new_orderstring, optional
Byte order to force; a value from the byte order specifications below. The default value (‘S’) results in swapping the current byte order. new_order codes can... | |
doc_4840 | con = sqlite3.connect('example.db')
You can also supply the special name :memory: to create a database in RAM. Once you have a Connection, you can create a Cursor object and call its execute() method to perform SQL commands: cur = con.cursor()
# Create table
cur.execute('''CREATE TABLE stocks
(date tex... | |
doc_4841 |
Return the Path associated with this line. | |
doc_4842 | Exponential distribution. lambd is 1.0 divided by the desired mean. It should be nonzero. (The parameter would be called “lambda”, but that is a reserved word in Python.) Returned values range from 0 to positive infinity if lambd is positive, and from negative infinity to 0 if lambd is negative. | |
doc_4843 | See Migration guide for more details. tf.compat.v1.random.experimental.stateless_fold_in
tf.random.experimental.stateless_fold_in(
seed, data
)
For example, in a distributed-training setting, suppose we have a master seed and a replica ID. We want to fold the replica ID into the master seed to form a "replica se... | |
doc_4844 | The value to use to represent “empty.” Defaults to the empty string; None is another common choice here. Note that this value will not be coerced by the function given in the coerce argument, so choose it accordingly. | |
doc_4845 | class sklearn.preprocessing.Binarizer(*, threshold=0.0, copy=True) [source]
Binarize data (set feature values to 0 or 1) according to a threshold. Values greater than the threshold map to 1, while values less than or equal to the threshold map to 0. With the default threshold of 0, only positive values map to 1. Bina... | |
doc_4846 |
Enhanced pygame module for loading and rendering computer fonts The pygame.freetype module is a replacement for pygame.font. It has all of the functionality of the original, plus many new features. Yet is has absolutely no dependencies on the SDL_ttf library. It is implemented directly on the FreeType 2 library. T... | |
doc_4847 |
Cumulative sum for each group. Returns
Series or DataFrame
See also Series.groupby
Apply a function groupby to a Series. DataFrame.groupby
Apply a function groupby to each row or column of a DataFrame. | |
doc_4848 | The get_inlines method is given the HttpRequest and the obj being edited (or None on an add form) and is expected to return an iterable of inlines. You can override this method to dynamically add inlines based on the request or model instance instead of specifying them in ModelAdmin.inlines. | |
doc_4849 | Evaluate the expression (given as a string or a code object) under debugger control. When runeval() returns, it returns the value of the expression. Otherwise this function is similar to run(). | |
doc_4850 |
Return a new array with the same shape and type as a given array. Parameters
prototypearray_like
The shape and data-type of prototype define these same attributes of the returned array.
dtypedata-type, optional
Overrides the data type of the result. New in version 1.6.0.
order{‘C’, ‘F’, ‘A’, or ‘K’}, op... | |
doc_4851 |
R^2 (coefficient of determination) regression score function. Best possible score is 1.0 and it can be negative (because the model can be arbitrarily worse). A constant model that always predicts the expected value of y, disregarding the input features, would get a R^2 score of 0.0. Read more in the User Guide. Para... | |
doc_4852 | Return True if x is a NaN (not a number), and False otherwise. | |
doc_4853 |
Pseudo-Vandermonde matrix of given degrees. Returns the pseudo-Vandermonde matrix of degrees deg and sample points (x, y, z). If l, m, n are the given degrees in x, y, z, then The pseudo-Vandermonde matrix is defined by \[V[..., (m+1)(n+1)i + (n+1)j + k] = x^i * y^j * z^k,\] where 0 <= i <= l, 0 <= j <= m, and 0 <= ... | |
doc_4854 |
Implements the Birch clustering algorithm. It is a memory-efficient, online-learning algorithm provided as an alternative to MiniBatchKMeans. It constructs a tree data structure with the cluster centroids being read off the leaf. These can be either the final cluster centroids or can be provided as input to another c... | |
doc_4855 |
Convert a pandas Timedelta object into a python datetime.timedelta object. Timedelta objects are internally saved as numpy datetime64[ns] dtype. Use to_pytimedelta() to convert to object dtype. Returns
datetime.timedelta or numpy.array of datetime.timedelta
See also to_timedelta
Convert argument to Timedelta... | |
doc_4856 |
Exception class to raise if estimator is used before fitting. This class inherits from both ValueError and AttributeError to help with exception handling and backward compatibility. Attributes
args
Examples >>> from sklearn.svm import LinearSVC
>>> from sklearn.exceptions import NotFittedError
>>> try:
... ... | |
doc_4857 | The error raised when a ZIP file would require ZIP64 functionality but that has not been enabled. | |
doc_4858 |
Set the vertices of the polygons. Parameters
vertslist of array-like
The sequence of polygons [verts0, verts1, ...] where each element verts_i defines the vertices of polygon i as a 2D array-like of shape (M, 2).
closedbool, default: True
Whether the polygon should be closed by adding a CLOSEPOLY connection... | |
doc_4859 | A class definition.
name is a raw string for the class name
bases is a list of nodes for explicitly specified base classes.
keywords is a list of keyword nodes, principally for ‘metaclass’. Other keywords will be passed to the metaclass, as per PEP-3115.
starargs and kwargs are each a single node, as in a function... | |
doc_4860 |
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_4861 | (os.POSIX_SPAWN_CLOSE, fd) Performs os.close(fd). | |
doc_4862 |
Immutable object implementing an Interval, a bounded slice-like interval. Parameters
left:orderable scalar
Left bound for the interval.
right:orderable scalar
Right bound for the interval.
closed:{‘right’, ‘left’, ‘both’, ‘neither’}, default ‘right’
Whether the interval is closed on the left-side, right... | |
doc_4863 | Resolve the system identifier of an entity and return either the system identifier to read from as a string, or an InputSource to read from. The default implementation returns systemId. | |
doc_4864 | Return the hyperbolic tangent of x. | |
doc_4865 | See Migration guide for more details. tf.compat.v1.raw_ops.ResourceScatterMul
tf.raw_ops.ResourceScatterMul(
resource, indices, updates, name=None
)
This operation computes # Scalar indices
ref[indices, ...] *= updates[...]
# Vector indices (for each i)
ref[indices[i], ...] *= updates[i, ...]
# High rank indic... | |
doc_4866 |
Return a function that splits a string into a sequence of tokens. Returns
tokenizer: callable
A function to split a string into a sequence of tokens. | |
doc_4867 |
Convert y using the unit type of the yaxis. If the artist is not in contained in an Axes or if the yaxis does not have units, y itself is returned. | |
doc_4868 | '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_4869 | File object registered. | |
doc_4870 |
Set the edgecolor(s) of the collection. Parameters
ccolor or list of colors or 'face'
The collection edgecolor(s). If a sequence, the patches cycle through it. If 'face', match the facecolor. | |
doc_4871 |
Gray-level “text” image used for corner detection. Returns
text(172, 448) uint8 ndarray
Text image. Notes This image was downloaded from Wikipedia <https://en.wikipedia.org/wiki/File:Corner.png>`__. No known copyright restrictions, released into the public domain. | |
doc_4872 | See Migration guide for more details. tf.compat.v1.raw_ops.CollectivePermute
tf.raw_ops.CollectivePermute(
input, source_target_pairs, name=None
)
Each instance supplies its own input. For example, suppose there are 4 TPU instances: [A, B, C, D]. Passing source_target_pairs=[[0,1],[1,2],[2,3],[3,0]] gets the out... | |
doc_4873 | Like unquote(), but also replace plus signs with spaces, as required for unquoting HTML form values. string must be a str. Example: unquote_plus('/El+Ni%C3%B1o/') yields '/El Niño/'. | |
doc_4874 |
Other Members
AUTOTUNE -1
INFINITE_CARDINALITY -1
UNKNOWN_CARDINALITY -2 | |
doc_4875 |
Indicate whether the date is the first day of a year. Returns
Series or DatetimeIndex
The same type as the original data with boolean values. Series will have the same name and index. DatetimeIndex will have the same name. See also is_year_end
Similar property indicating the last day of the year. Exampl... | |
doc_4876 |
The month as January=1, December=12. Examples
>>> datetime_series = pd.Series(
... pd.date_range("2000-01-01", periods=3, freq="M")
... )
>>> datetime_series
0 2000-01-31
1 2000-02-29
2 2000-03-31
dtype: datetime64[ns]
>>> datetime_series.dt.month
0 1
1 2
2 3
dtype: int64 | |
doc_4877 | Return a TarFile object for the pathname name. For detailed information on TarFile objects and the keyword arguments that are allowed, see TarFile Objects. mode has to be a string of the form 'filemode[:compression]', it defaults to 'r'. Here is a full list of mode combinations:
mode action
'r' or 'r:*' Open for ... | |
doc_4878 | Fairly portable uname interface. Returns a namedtuple() containing six attributes: system, node, release, version, machine, and processor. Note that this adds a sixth attribute (processor) not present in the os.uname() result. Also, the attribute names are different for the first two attributes; os.uname() names them s... | |
doc_4879 | Sets the Formatter for this handler to fmt. | |
doc_4880 | Represent an address as 4 packed bytes in network (big-endian) order. address is an integer representation of an IPv4 IP address. A ValueError is raised if the integer is negative or too large to be an IPv4 IP address. >>> ipaddress.ip_address(3221225985)
IPv4Address('192.0.2.1')
>>> ipaddress.v4_int_to_packed(32212259... | |
doc_4881 | """
May be applied as a `default=...` value on a serializer field.
Returns the current user.
"""
requires_context = True
def __call__(self, serializer_field):
return serializer_field.context['request'].user
When serializing the instance, default will be used if the object attribute or ... | |
doc_4882 | See torch.lgamma() | |
doc_4883 | tf.nn.pool(
input, window_shape, pooling_type, strides=None, padding='VALID',
data_format=None, dilations=None, name=None
)
In the case that data_format does not start with "NC", computes for 0 <= b < batch_size, 0 <= x[i] < output_spatial_shape[i], 0 <= c < num_channels: output[b, x[0], ..., x[N-1], c] =
RE... | |
doc_4884 | Leave echo mode. Echoing of input characters is turned off. | |
doc_4885 |
Bases: object Encapsulation of a font that a DVI file can refer to. This class holds a font's texname and size, supports comparison, and knows the widths of glyphs in the same units as the AFM file. There are also internal attributes (for use by dviread.py) that are not used for comparison. The size is in Adobe point... | |
doc_4886 | See Migration guide for more details. tf.compat.v1.raw_ops.TensorArrayClose
tf.raw_ops.TensorArrayClose(
handle, name=None
)
Args
handle A Tensor of type mutable string.
name A name for the operation (optional).
Returns The created Operation. | |
doc_4887 | A field for storing lists of data. Most field types can be used, and you pass another field instance as the base_field. You may also specify a size. ArrayField can be nested to store multi-dimensional arrays. If you give the field a default, ensure it’s a callable such as list (for an empty default) or a callable that ... | |
doc_4888 |
Create and return a circular Spine. | |
doc_4889 |
DistributedOptimizer takes remote references to parameters scattered across workers and applies the given optimizer locally for each parameter. This class uses get_gradients() in order to retrieve the gradients for specific parameters. Concurrent calls to step(), either from the same or different clients, will be ser... | |
doc_4890 | See Migration guide for more details. tf.compat.v1.keras.activations.serialize
tf.keras.activations.serialize(
activation
)
Arguments
activation Function object.
Returns String denoting the name attribute of the input function
For example:
tf.keras.activations.serialize(tf.keras.activation... | |
doc_4891 | Return the contents as regular dict. If flat is True the returned dict will only have the first item present, if flat is False all values will be returned as lists. Parameters
flat – If set to False the dict returned will have lists with all the values in it. Otherwise it will only contain the first value for each ke... | |
doc_4892 |
Return the complex conjugate, element-wise. The complex conjugate of a complex number is obtained by changing the sign of its imaginary part. Parameters
xarray_like
Input value.
outndarray, None, or tuple of ndarray and None, optional
A location into which the result is stored. If provided, it must have a s... | |
doc_4893 | See Migration guide for more details. tf.compat.v1.raw_ops.IFFT3D
tf.raw_ops.IFFT3D(
input, name=None
)
Computes the inverse 3-dimensional discrete Fourier transform over the inner-most 3 dimensions of input.
Args
input A Tensor. Must be one of the following types: complex64, complex128. A complex tenso... | |
doc_4894 | Midpoint of rectangle edges from left, moving clockwise. | |
doc_4895 |
Set the parameters of an estimator from the ensemble. Valid parameter keys can be listed with get_params(). Note that you can directly set the parameters of the estimators contained in estimators. Parameters
**paramskeyword arguments
Specific parameters using e.g. set_params(parameter_name=new_value). In additi... | |
doc_4896 |
Predict class labels for samples in X. Parameters
Xarray-like or sparse matrix, shape (n_samples, n_features)
Samples. Returns
Carray, shape [n_samples]
Predicted class label per sample. | |
doc_4897 | The number of decimal places to store with the number. | |
doc_4898 | Invoke ZipFile.open() on the current path. Allows opening for read or write, text or binary through supported modes: ‘r’, ‘w’, ‘rb’, ‘wb’. Positional and keyword arguments are passed through to io.TextIOWrapper when opened as text and ignored otherwise. pwd is the pwd parameter to ZipFile.open(). Changed in version 3.... | |
doc_4899 | readline.get_endidx()
Get the beginning or ending index of the completion scope. These indexes are the start and end arguments passed to the rl_attempted_completion_function callback of the underlying library. |
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