_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_19700 |
Suffix labels with string suffix. For Series, the row labels are suffixed. For DataFrame, the column labels are suffixed. Parameters
suffix:str
The string to add after each label. Returns
Series or DataFrame
New Series or DataFrame with updated labels. See also Series.add_prefix
Prefix row labels w... | |
doc_19701 | Return True if the values a and b are close to each other and False otherwise. Whether or not two values are considered close is determined according to given absolute and relative tolerances. rel_tol is the relative tolerance – it is the maximum allowed difference between a and b, relative to the larger absolute value... | |
doc_19702 | Return a string object containing two hexadecimal digits for each byte in the instance. >>> b'\xf0\xf1\xf2'.hex()
'f0f1f2'
If you want to make the hex string easier to read, you can specify a single character separator sep parameter to include in the output. By default between each byte. A second optional bytes_per_se... | |
doc_19703 |
Draw a filled black rectangle from (x1, y1) to (x2, y2). | |
doc_19704 | Instantiate a socket from data obtained from the socket.share() method. The socket is assumed to be in blocking mode. Availability: Windows. New in version 3.3. | |
doc_19705 |
Compute decision function of X for each boosting iteration. This method allows monitoring (i.e. determine error on testing set) after each boosting iteration. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The training input samples. Sparse matrix can be CSC, CSR, COO, DOK, or LIL. COO... | |
doc_19706 |
Bases: skimage.feature.util.FeatureDetector CENSURE keypoint detector.
min_scaleint, optional
Minimum scale to extract keypoints from.
max_scaleint, optional
Maximum scale to extract keypoints from. The keypoints will be extracted from all the scales except the first and the last i.e. from the scales in the r... | |
doc_19707 | Delete any character at (y, x). | |
doc_19708 |
Compute the square root of x. For negative input elements, a complex value is returned (unlike numpy.sqrt which returns NaN). Parameters
xarray_like
The input value(s). Returns
outndarray or scalar
The square root of x. If x was a scalar, so is out, otherwise an array is returned. See also numpy.s... | |
doc_19709 |
Return a modifiable information dictionary object (see PDF reference section 10.2.1 'Document Information Dictionary'). | |
doc_19710 | A buffered text stream providing higher-level access to a BufferedIOBase buffered binary stream. It inherits TextIOBase. encoding gives the name of the encoding that the stream will be decoded or encoded with. It defaults to locale.getpreferredencoding(False). errors is an optional string that specifies how encoding an... | |
doc_19711 |
Call predict on the estimator with the best found parameters. Only available if refit=True and the underlying estimator supports predict. Parameters
Xindexable, length n_samples
Must fulfill the input assumptions of the underlying estimator. | |
doc_19712 | See Migration guide for more details. tf.compat.v1.raw_ops.LinSpace
tf.raw_ops.LinSpace(
start, stop, num, name=None
)
A sequence of num evenly-spaced values are generated beginning at start. If num > 1, the values in the sequence increase by stop - start / num - 1, so that the last one is exactly stop. For exam... | |
doc_19713 |
Like rfind, but raises ValueError when the substring sub is not found. See also char.rindex | |
doc_19714 | Close the transport. If the transport has a buffer for outgoing data, buffered data will be flushed asynchronously. No more data will be received. After all buffered data is flushed, the protocol’s protocol.connection_lost() method will be called with None as its argument. | |
doc_19715 |
Switch back to the vector renderer and draw the contents of the raster renderer as an image on the vector renderer. Used by MixedModeRenderer. | |
doc_19716 | Rotate a n-D tensor by 90 degrees in the plane specified by dims axis. Rotation direction is from the first towards the second axis if k > 0, and from the second towards the first for k < 0. Parameters
input (Tensor) – the input tensor.
k (int) – number of times to rotate
dims (a list or tuple) – axis to rotate ... | |
doc_19717 | See Migration guide for more details. tf.compat.v1.raw_ops.UnicodeTranscode
tf.raw_ops.UnicodeTranscode(
input, input_encoding, output_encoding, errors='replace',
replacement_char=65533, replace_control_characters=False, name=None
)
The input is a string tensor of any shape. The output is a string tensor of ... | |
doc_19718 | Returns a tensor where each row contains num_samples indices sampled from the multinomial probability distribution located in the corresponding row of tensor input. Note The rows of input do not need to sum to one (in which case we use the values as weights), but must be non-negative, finite and have a non-zero sum. ... | |
doc_19719 | Logs a user out. URL name: logout Attributes:
next_page
The URL to redirect to after logout. Defaults to LOGOUT_REDIRECT_URL.
template_name
The full name of a template to display after logging the user out. Defaults to registration/logged_out.html.
redirect_field_name
The name of a GET field containing ... | |
doc_19720 | Look up the codec for the given encoding and return its StreamWriter class or factory function. Raises a LookupError in case the encoding cannot be found. | |
doc_19721 |
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_19722 |
A legend handler that shows numpoints points in the legend entry. Parameters
marker_padfloat
Padding between points in legend entry.
numpointsint
Number of points to show in legend entry. **kwargs
Keyword arguments forwarded to HandlerBase. get_numpoints(legend)[source]
get_xdata(legend, xdescen... | |
doc_19723 | A processing class used to extract the DocTests that are relevant to a given object, from its docstring and the docstrings of its contained objects. DocTests can be extracted from modules, classes, functions, methods, staticmethods, classmethods, and properties. The optional argument verbose can be used to display the ... | |
doc_19724 |
Return a dictionary of all the properties of the artist. | |
doc_19725 |
Returns True if first argument is a typecode lower/equal in type hierarchy. This is like the builtin issubclass, but for dtypes. Parameters
arg1, arg2dtype_like
dtype or object coercible to one Returns
outbool
See also Scalars
Overview of the numpy type hierarchy.
issubsctype, issubclass_
Exam... | |
doc_19726 |
A quantized EmbeddingBag module with quantized packed weights as inputs. We adopt the same interface as torch.nn.EmbeddingBag, please see https://pytorch.org/docs/stable/nn.html#torch.nn.EmbeddingBag for documentation. Similar to EmbeddingBag, attributes will be randomly initialized at module creation time and will b... | |
doc_19727 |
Set whether the artist is intended to be used in an animation. If True, the artist is excluded from regular drawing of the figure. You have to call Figure.draw_artist / Axes.draw_artist explicitly on the artist. This appoach is used to speed up animations using blitting. See also matplotlib.animation and Faster rende... | |
doc_19728 | tf.compat.v1.data.experimental.Counter(
start=0, step=1, dtype=tf.dtypes.int64
)
For example: Dataset.count() == [0, 1, 2, ...)
Dataset.count(2) == [2, 3, ...)
Dataset.count(2, 5) == [2, 7, 12, ...)
Dataset.count(0, -1) == [0, -1, -2, ...)
Dataset.count(10, -1) == [10, 9, ...)
Args
start (Optional.) The ... | |
doc_19729 | See Migration guide for more details. tf.compat.v1.raw_ops.ReaderNumRecordsProducedV2
tf.raw_ops.ReaderNumRecordsProducedV2(
reader_handle, name=None
)
This is the same as the number of ReaderRead executions that have succeeded.
Args
reader_handle A Tensor of type resource. Handle to a Reader.
name ... | |
doc_19730 |
Return unique values in the index. Unique values are returned in order of appearance, this does NOT sort. Parameters
level:int or hashable, optional
Only return values from specified level (for MultiIndex). If int, gets the level by integer position, else by level name. Returns
Index
See also unique
... | |
doc_19731 |
Add a table to an Axes. At least one of cellText or cellColours must be specified. These parameters must be 2D lists, in which the outer lists define the rows and the inner list define the column values per row. Each row must have the same number of elements. The table can optionally have row and column headers, whic... | |
doc_19732 | The defects attribute contains a list of all the problems found when parsing this message. See email.errors for a detailed description of the possible parsing defects. | |
doc_19733 |
Function is not implemented. Use pd.to_datetime(). | |
doc_19734 | An alias to collections.abc.Sized | |
doc_19735 | The server refused our HELO message. | |
doc_19736 |
The seconds of the datetime. Examples
>>> datetime_series = pd.Series(
... pd.date_range("2000-01-01", periods=3, freq="s")
... )
>>> datetime_series
0 2000-01-01 00:00:00
1 2000-01-01 00:00:01
2 2000-01-01 00:00:02
dtype: datetime64[ns]
>>> datetime_series.dt.second
0 0
1 1
2 2
dtype: int64 | |
doc_19737 | print() # blank line, end of headers
The second section is usually HTML, which allows the client software to display nicely formatted text with header, in-line images, etc. Here’s Python code that prints a simple piece of HTML: print("<TITLE>CGI script output</TITLE>")
print("<H1>This is my... | |
doc_19738 | See Migration guide for more details. tf.compat.v1.math.erfcinv
tf.math.erfcinv(
x, name=None
)
Given x, compute the inverse complementary error function of x. This function is the inverse of tf.math.erfc, and is defined on [0, 2].
tf.math.erfcinv([0., 0.2, 1., 1.5, 2.])
<tf.Tensor: shape=(5,), dtype=float32, n... | |
doc_19739 | @tf_contextlib.contextmanager
tf.summary.experimental.summary_scope(
name, default_name='summary', values=None
)
This behaves similarly to tf.name_scope, except that it returns a generated summary tag in addition to the scope name. The tag is structurally similar to the scope name - derived from the user-provided ... | |
doc_19740 | Returns a new tensor with a dimension of size one inserted at the specified position. The returned tensor shares the same underlying data with this tensor. A dim value within the range [-input.dim() - 1, input.dim() + 1) can be used. Negative dim will correspond to unsqueeze() applied at dim = dim + input.dim() + 1. P... | |
doc_19741 |
Returns a copy of the calling offset object with n=1 and all other attributes equal. | |
doc_19742 |
Return the title text of the window containing the figure, or None if there is no window (e.g., a PS backend). | |
doc_19743 |
Copy an element of an array to a standard Python scalar and return it. Parameters
*argsArguments (variable number and type)
none: in this case, the method only works for arrays with one element (a.size == 1), which element is copied into a standard Python scalar object and returned. int_type: this argument is ... | |
doc_19744 | Door. New in version 3.4. | |
doc_19745 | This read-only attribute provides the SQLite database Connection used by the Cursor object. A Cursor object created by calling con.cursor() will have a connection attribute that refers to con: >>> con = sqlite3.connect(":memory:")
>>> cur = con.cursor()
>>> cur.connection == con
True | |
doc_19746 |
The Sum kernel takes two kernels \(k_1\) and \(k_2\) and combines them via \[k_{sum}(X, Y) = k_1(X, Y) + k_2(X, Y)\] Note that the __add__ magic method is overridden, so Sum(RBF(), RBF()) is equivalent to using the + operator with RBF() + RBF(). Read more in the User Guide. New in version 0.18. Parameters
k1Ke... | |
doc_19747 |
Fit the model with X. Initializes the internal variables. The method needs no information about the distribution of data, so we only care about n_features in X. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
Training data, where n_samples in the number of samples and n_features is the ... | |
doc_19748 | Alias for field number 3 | |
doc_19749 | class sklearn.base.BaseEstimator [source]
Base class for all estimators in scikit-learn. Notes All estimators should specify all the parameters that can be set at the class level in their __init__ as explicit keyword arguments (no *args or **kwargs). Methods
get_params([deep]) Get parameters for this estimator.
s... | |
doc_19750 | Returns True if the DE-9IM intersection matrix for the two Geometries is T*T****** (for a point and a curve,a point and an area or a line and an area) 0******** (for two curves). | |
doc_19751 |
Generate Kernel Density Estimate plot using Gaussian kernels. In statistics, kernel density estimation (KDE) is a non-parametric way to estimate the probability density function (PDF) of a random variable. This function uses Gaussian kernels and includes automatic bandwidth determination. Parameters
bw_method:str... | |
doc_19752 |
Set the Categorical to be ordered. Parameters
inplace:bool, default False
Whether or not to set the ordered attribute in-place or return a copy of this categorical with ordered set to True. Returns
Categorical or None
Ordered Categorical or None if inplace=True. | |
doc_19753 | Print a summary of all the test cases that have been run by this DocTestRunner, and return a named tuple TestResults(failed, attempted). The optional verbose argument controls how detailed the summary is. If the verbosity is not specified, then the DocTestRunner’s verbosity is used. | |
doc_19754 |
Set the position of the rectangle. Parameters
postuple of 4 floats
position of the rectangle that will be divided | |
doc_19755 |
Draw samples from a log-normal distribution. Draw samples from a log-normal distribution with specified mean, standard deviation, and array shape. Note that the mean and standard deviation are not the values for the distribution itself, but of the underlying normal distribution it is derived from. Parameters
mean... | |
doc_19756 | See Migration guide for more details. tf.compat.v1.raw_ops.Fingerprint
tf.raw_ops.Fingerprint(
data, method, name=None
)
Generates fingerprint values of data. Fingerprint op considers the first dimension of data as the batch dimension, and output[i] contains the fingerprint value generated from contents in data[... | |
doc_19757 |
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_19758 |
Return a list of the child Artists of this Artist. | |
doc_19759 |
Convert strings in the Series/Index to be capitalized. Equivalent to str.capitalize(). Returns
Series or Index of object
See also Series.str.lower
Converts all characters to lowercase. Series.str.upper
Converts all characters to uppercase. Series.str.title
Converts first character of each word to upperca... | |
doc_19760 |
Return self-=value. | |
doc_19761 |
Copy of the array, cast to a specified type. Parameters
dtypestr or dtype
Typecode or data-type to which the array is cast.
order{‘C’, ‘F’, ‘A’, ‘K’}, optional
Controls the memory layout order of the result. ‘C’ means C order, ‘F’ means Fortran order, ‘A’ means ‘F’ order if all the arrays are Fortran contig... | |
doc_19762 | Asserts that the formset raises the provided list of errors when rendered. response must be a response instance returned by the test client. formset is the name the Formset instance was given in the template context of the response. form_index is the number of the form within the Formset. If form_index has a value of N... | |
doc_19763 |
Return whether the figure with the given id exists. | |
doc_19764 | Base class for warnings about dubious syntax. | |
doc_19765 | Create a new event loop object. | |
doc_19766 |
Return this Axis' minor tick locations in data coordinates. | |
doc_19767 | sklearn.decomposition.non_negative_factorization(X, W=None, H=None, n_components=None, *, init='warn', update_H=True, solver='cd', beta_loss='frobenius', tol=0.0001, max_iter=200, alpha=0.0, l1_ratio=0.0, regularization=None, random_state=None, verbose=0, shuffle=False) [source]
Compute Non-negative Matrix Factorizat... | |
doc_19768 | Same as for HTTPPasswordMgrWithDefaultRealm objects | |
doc_19769 | Packs a fixed length opaque data stream, similarly to pack_fstring(). | |
doc_19770 | Subclasses of RuleFactory have to override this method and return an iterable of rules. Parameters
map (werkzeug.routing.Map) – Return type
Iterable[werkzeug.routing.Rule] | |
doc_19771 | The str value of a Group is formatted according to RFC 5322, but with no Content Transfer Encoding of any non-ASCII characters. If display_name is none and there is a single Address in the addresses list, the str value will be the same as the str of that single Address. | |
doc_19772 |
Set whether the artist is intended to be used in an animation. If True, the artist is excluded from regular drawing of the figure. You have to call Figure.draw_artist / Axes.draw_artist explicitly on the artist. This appoach is used to speed up animations using blitting. See also matplotlib.animation and Faster rende... | |
doc_19773 | Rolls back the transaction to savepoint sid. | |
doc_19774 |
Returns true for each element if all cased characters in the string are uppercase and there is at least one character, false otherwise. See also char.isupper | |
doc_19775 | The most recent supported protocol in the CAPABILITY response from the server. | |
doc_19776 | See Migration guide for more details. tf.compat.v1.raw_ops.ScatterMul
tf.raw_ops.ScatterMul(
ref, indices, updates, use_locking=False, name=None
)
This operation computes # Scalar indices
ref[indices, ...] *= updates[...]
# Vector indices (for each i)
ref[indices[i], ...] *= updates[i, ...]
# High rank indices... | |
doc_19777 | Returns current value of a given interval timer specified by which. Availability: Unix. | |
doc_19778 |
Convert strings in the Series/Index to titlecase. Equivalent to str.title(). Returns
Series or Index of object
See also Series.str.lower
Converts all characters to lowercase. Series.str.upper
Converts all characters to uppercase. Series.str.title
Converts first character of each word to uppercase and rem... | |
doc_19779 | The URL to redirect to after a successful password reset request. Defaults to 'password_reset_done'. | |
doc_19780 | Called by the server’s constructor to activate the server. The default behavior for a TCP server just invokes listen() on the server’s socket. May be overridden. | |
doc_19781 | os.O_NOINHERIT
os.O_SHORT_LIVED
os.O_TEMPORARY
os.O_RANDOM
os.O_SEQUENTIAL
os.O_TEXT
The above constants are only available on Windows. | |
doc_19782 | The HTTP response headers for the HTTP request that caused the HTTPError. New in version 3.4. | |
doc_19783 | Decorator to require that a view only accepts the GET method. | |
doc_19784 | See Migration guide for more details. tf.compat.v1.keras.layers.Dropout
tf.keras.layers.Dropout(
rate, noise_shape=None, seed=None, **kwargs
)
The Dropout layer randomly sets input units to 0 with a frequency of rate at each step during training time, which helps prevent overfitting. Inputs not set to 0 are scal... | |
doc_19785 | Return the EWKB representation of this Geometry as a Python buffer. This is an extension of the WKB specification that includes any SRID value that are a part of this geometry. | |
doc_19786 | Return an MH instance representing the folder whose name is folder. A NoSuchMailboxError exception is raised if the folder does not exist. | |
doc_19787 | '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_19788 |
Container for the Mersenne Twister pseudo-random number generator. Parameters
seed{None, int, array_like[ints], SeedSequence}, optional
A seed to initialize the BitGenerator. If None, then fresh, unpredictable entropy will be pulled from the OS. If an int or array_like[ints] is passed, then it will be passed to... | |
doc_19789 |
Bases: matplotlib.collections.Collection Class for the efficient drawing of a quadrilateral mesh. A quadrilateral mesh is a grid of M by N adjacent qudrilaterals that are defined via a (M+1, N+1) grid of vertices. The quadrilateral (m, n) is defined by the vertices (m+1, n) ----------- (m+1, n+1)
/ ... | |
doc_19790 | Sparse representation of the fitted coef_. | |
doc_19791 |
Add an infinitely long straight line. The line can be defined either by two points xy1 and xy2, or by one point xy1 and a slope. This draws a straight line "on the screen", regardless of the x and y scales, and is thus also suitable for drawing exponential decays in semilog plots, power laws in loglog plots, etc. How... | |
doc_19792 |
Detect oriented FAST keypoints and extract rBRIEF descriptors. Note that this is faster than first calling detect and then extract. Parameters
image2D array
Input image. | |
doc_19793 | See torch.clamp() | |
doc_19794 | Token value for "}". | |
doc_19795 | Write back all entries in the cache if the shelf was opened with writeback set to True. Also empty the cache and synchronize the persistent dictionary on disk, if feasible. This is called automatically when the shelf is closed with close(). | |
doc_19796 |
Create a DataFrame with a column containing the Index. Parameters
index:bool, default True
Set the index of the returned DataFrame as the original Index.
name:object, default None
The passed name should substitute for the index name (if it has one). Returns
DataFrame
DataFrame containing the original ... | |
doc_19797 | Returns the single object that this view will display. If queryset is provided, that queryset will be used as the source of objects; otherwise, get_queryset() will be used. get_object() looks for a pk_url_kwarg argument in the arguments to the view; if this argument is found, this method performs a primary-key based lo... | |
doc_19798 | Designates the name of the variable to use in the context. | |
doc_19799 |
Limit the domain to positive values. |
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