_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_20400 |
Return boolean flag, True if artist is included in layout calculations. E.g. Constrained Layout Guide, Figure.tight_layout(), and fig.savefig(fname, bbox_inches='tight'). | |
doc_20401 | Sets the volume for a given mixer control to (left,right). left and right must be ints and between 0 (silent) and 100 (full volume). On success, the new volume is returned as a 2-tuple. Note that this may not be exactly the same as the volume specified, because of the limited resolution of some soundcard’s mixers. Rais... | |
doc_20402 | Ignore cookies in Set-Cookie: headers that have names starting with '$'. | |
doc_20403 | Removes the pruning reparameterization from a module. The pruned parameter named name remains permanently pruned, and the parameter named name+'_orig' is removed from the parameter list. Similarly, the buffer named name+'_mask' is removed from the buffers. Note Pruning itself is NOT undone or reversed! | |
doc_20404 |
Convert to Index using specified date_format. Return an Index of formatted strings specified by date_format, which supports the same string format as the python standard library. Details of the string format can be found in python string format doc. Parameters
date_format:str
Date format string (e.g. “%Y-%m-%d”... | |
doc_20405 |
Return a copy of the array. Parameters
order{‘C’, ‘F’, ‘A’, ‘K’}, optional
Controls the memory layout of the copy. ‘C’ means C-order, ‘F’ means F-order, ‘A’ means ‘F’ if a is Fortran contiguous, ‘C’ otherwise. ‘K’ means match the layout of a as closely as possible. (Note that this function and numpy.copy are ve... | |
doc_20406 | tf.compat.v1.layers.MaxPooling2D(
pool_size, strides, padding='valid',
data_format='channels_last', name=None, **kwargs
)
Arguments
pool_size An integer or tuple/list of 2 integers: (pool_height, pool_width) specifying the size of the pooling window. Can be a single integer to specify the same value f... | |
doc_20407 | See torch.cos() | |
doc_20408 | '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_20409 |
Formats the time to match the RFC 1123#section-5.2.14 date format as specified by HTTP RFC 7231#section-7.1.1.1. Accepts a floating point number expressed in seconds since the epoch in UTC–such as that outputted by time.time(). If set to None, defaults to the current time. Outputs a string in the format Wdy, DD Mon Y... | |
doc_20410 | tf.metrics.KLDivergence Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.KLDivergence
tf.keras.metrics.KLDivergence(
name='kullback_leibler_divergence', dtype=None
)
metric = y_true * log(y_true / y_pred)
Args
name (Optional) string name of the metric instanc... | |
doc_20411 | min(arg1, arg2, *args[, key])
Return the smallest item in an iterable or the smallest of two or more arguments. If one positional argument is provided, it should be an iterable. The smallest item in the iterable is returned. If two or more positional arguments are provided, the smallest of the positional arguments is... | |
doc_20412 | Set the machine’s hostname to name. This will raise an OSError if you don’t have enough rights. Raises an auditing event socket.sethostname with argument name. Availability: Unix. New in version 3.3. | |
doc_20413 | Like dict.setdefault(), except it uses __setitem__() internally. | |
doc_20414 | returns a vector reflected of a given normal. reflect(Vector2) -> Vector2 Returns a new vector that points in the direction as if self would bounce of a surface characterized by the given surface normal. The length of the new vector is the same as self's. | |
doc_20415 |
Return the minimum along a given axis. Parameters
axis{None, int}, optional
Axis along which to operate. By default, axis is None and the flattened input is used.
outarray_like, optional
Alternative output array in which to place the result. Must be of the same shape and buffer length as the expected output... | |
doc_20416 |
Set the (group) id for the artist. Parameters
gidstr | |
doc_20417 | Gets whether the font is fixed-width fixed_width -> bool Read only. Returns True if the font contains fixed-width characters (for example Courier, Bitstream Vera Sans Mono, Andale Mono). | |
doc_20418 | Return True if the terminal can display colors; otherwise, return False. | |
doc_20419 | Returns a Rect based on the size of the mask get_rect(**kwargs) -> Rect Returns a new pygame.Rect() object based on the size of this mask. The rect's default position will be (0, 0) and its default width and height will be the same as this mask's. The rect's attributes can be altered via pygame.Rect() attribute keywo... | |
doc_20420 |
Alias for set_antialiased. | |
doc_20421 | tf.constant(
value, dtype=None, shape=None, name='Const'
)
Note: All eager tf.Tensor values are immutable (in contrast to tf.Variable). There is nothing especially constant about the value returned from tf.constant. This function it is not fundamentally different from tf.convert_to_tensor. The name tf.constant co... | |
doc_20422 | Returns the model on which the field is defined. If a field is defined on a superclass of a model, model will refer to the superclass, not the class of the instance. | |
doc_20423 | Return the context variable name that will be used to contain the data that this view is manipulating. If context_object_name is not set, the context name will be constructed from the model_name of the model that the queryset is composed from. For example, the model Article would have context object named 'article'. | |
doc_20424 |
dom1 = parse('c:\\temp\\mydata.xml') # parse an XML file by name
datasource = open('c:\\temp\\mydata.xml')
dom2 = parse(datasource) # parse an open file
dom3 = parseString('<myxml>Some data<empty/> some more data</myxml>')
The parse() function can take either a filename or an open file object.
xml.dom.minidom.p... | |
doc_20425 | Asserts that a field on a form raises the provided list of errors when rendered on the form. response must be a response instance returned by the test client. form is the name the Form instance was given in the template context of the response. field is the name of the field on the form to check. If field has a value o... | |
doc_20426 | Return the argument with environment variables expanded. Substrings of the form $name or ${name} are replaced by the value of environment variable name. Malformed variable names and references to non-existing variables are left unchanged. On Windows, %name% expansions are supported in addition to $name and ${name}. Ch... | |
doc_20427 | Distributed Training Tutorials The tutorials cover how to use tf.distribute.Strategy to do distributed training with native Keras APIs, custom training loops, and Esitmator APIs. They also cover how to save/load model when using tf.distribute.Strategy.
Glossary
Data parallelism is where we run multiple copies of th... | |
doc_20428 | Removes the pruning reparameterization from a module. The pruned parameter named name remains permanently pruned, and the parameter named name+'_orig' is removed from the parameter list. Similarly, the buffer named name+'_mask' is removed from the buffers. Note Pruning itself is NOT undone or reversed! | |
doc_20429 | Returns the contents for a template given a Origin instance. This is where a filesystem loader would read contents from the filesystem, or a database loader would read from the database. If a matching template doesn’t exist, this should raise a TemplateDoesNotExist error. | |
doc_20430 | tf.compat.v1.foldr(
fn, elems, initializer=None, parallel_iterations=10, back_prop=True,
swap_memory=False, name=None
)
This foldr operator repeatedly applies the callable fn to a sequence of elements from last to first. The elements are made of the tensors unpacked from elems. The callable fn takes two tensor... | |
doc_20431 |
Set the antialiasing state for rendering. Parameters
aabool or list of bools | |
doc_20432 | class sklearn.feature_extraction.text.TfidfVectorizer(*, input='content', encoding='utf-8', decode_error='strict', strip_accents=None, lowercase=True, preprocessor=None, tokenizer=None, analyzer='word', stop_words=None, token_pattern='(?u)\\b\\w\\w+\\b', ngram_range=(1, 1), max_df=1.0, min_df=1, max_features=None, voca... | |
doc_20433 | Exit code that means an input file did not exist or was not readable. Availability: Unix. | |
doc_20434 | Optional abstract method which returns the modification time for the specified path. Deprecated since version 3.3: This method is deprecated in favour of path_stats(). You don’t have to implement it, but it is still available for compatibility purposes. Raise OSError if the path cannot be handled. Changed in version... | |
doc_20435 | tf.compat.v1.logging.error(
msg, *args, **kwargs
) | |
doc_20436 |
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_20437 | tarfile.open(name=None, mode='r', fileobj=None, bufsize=10240, **kwargs)
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... | |
doc_20438 |
Apple’s documentation of the file format. This module defines the following functions:
plistlib.load(fp, *, fmt=None, dict_type=dict)
Read a plist file. fp should be a readable and binary file object. Return the unpacked root object (which usually is a dictionary). The fmt is the format of the file and the foll... | |
doc_20439 | tf.metrics.SquaredHinge Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.SquaredHinge
tf.keras.metrics.SquaredHinge(
name='squared_hinge', dtype=None
)
y_true values are expected to be -1 or 1. If binary (0 or 1) labels are provided we will convert them to -1 or 1.
... | |
doc_20440 | A namedtuple that holds a brief summary of a module’s info. New in version 3.6. | |
doc_20441 | Return a StreamRecoder instance, a wrapped version of file which provides transparent transcoding. The original file is closed when the wrapped version is closed. Data written to the wrapped file is decoded according to the given data_encoding and then written to the original file as bytes using file_encoding. Bytes re... | |
doc_20442 | Return the charset parameter of the Content-Type header, coerced to lower case. If there is no Content-Type header, or if that header has no charset parameter, failobj is returned. | |
doc_20443 |
Fit the RFE model and then the underlying estimator on the selected
features. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The training input samples.
yarray-like of shape (n_samples,)
The target values. | |
doc_20444 | Creates a new tensor by horizontally stacking the tensors in tensors. Equivalent to torch.hstack(tensors), except each zero or one dimensional tensor t in tensors is first reshaped into a (t.numel(), 1) column before being stacked horizontally. Parameters
tensors (sequence of Tensors) – sequence of tensors to concate... | |
doc_20445 |
Convert tz-aware axis to target time zone. Parameters
tz:str or tzinfo object
axis:the axis to convert
level:int, str, default None
If axis is a MultiIndex, convert a specific level. Otherwise must be None.
copy:bool, default True
Also make a copy of the underlying data. Returns
{klass}
Object wit... | |
doc_20446 | class sklearn.compose.TransformedTargetRegressor(regressor=None, *, transformer=None, func=None, inverse_func=None, check_inverse=True) [source]
Meta-estimator to regress on a transformed target. Useful for applying a non-linear transformation to the target y in regression problems. This transformation can be given a... | |
doc_20447 | See Migration guide for more details. tf.compat.v1.regex_replace, tf.compat.v1.strings.regex_replace
tf.strings.regex_replace(
input, pattern, rewrite, replace_global=True, name=None
)
tf.strings.regex_replace("Text with tags.<br /><b>contains html</b>",
"<[^>]+>", " ")
<tf.Tensor: shap... | |
doc_20448 | class urllib.robotparser.RobotFileParser(url='')
This class provides methods to read, parse and answer questions about the robots.txt file at url.
set_url(url)
Sets the URL referring to a robots.txt file.
read()
Reads the robots.txt URL and feeds it to the parser.
parse(lines)
Parses the lines argumen... | |
doc_20449 | A data structure of functions to call to modify the keyword arguments passed to the view function, in the format {scope: [functions]}. The scope key is the name of a blueprint the functions are active for, or None for all requests. To register a function, use the url_value_preprocessor() decorator. This data structure ... | |
doc_20450 |
For each element in a, return a list of the lines in the element, breaking at line boundaries. Calls str.splitlines element-wise. Parameters
aarray_like of str or unicode
keependsbool, optional
Line breaks are not included in the resulting list unless keepends is given and true. Returns
outndarray
Arr... | |
doc_20451 | 1 becomes one.
2 becomes two.
10 becomes 10. You can pass in either an integer or a string representation of an integer. intcomma Converts an integer or float (or a string representation of either) to a string containing commas every three digits. Examples:
4500 becomes 4,500.
4500.2 becomes 4,500.2.
45000 becom... | |
doc_20452 | Look up the context and message id in the catalog and return the corresponding message string, as a Unicode string. If there is no entry in the catalog for the message id and context, and a fallback has been set, the look up is forwarded to the fallback’s pgettext() method. Otherwise, the message id is returned. New i... | |
doc_20453 | a reference to the current application | |
doc_20454 |
Load the kddcup99 dataset (classification). Download it if necessary.
Classes 23
Samples total 4898431
Dimensionality 41
Features discrete (int) or continuous (float) Read more in the User Guide. New in version 0.18. Parameters
subset{‘SA’, ‘SF’, ‘http’, ‘smtp’}, default=None
To return the correspon... | |
doc_20455 | get the Joystick system name get_name() -> string Returns the system name for this joystick device. It is unknown what name the system will give to the Joystick, but it should be a unique name that identifies the device. This method can safely be called while the Joystick is not initialized. | |
doc_20456 |
Return the Transform instance used by this artist. | |
doc_20457 | The user (an AUTH_USER_MODEL instance) who performed the action. | |
doc_20458 | See Migration guide for more details. tf.compat.v1.keras.layers.ZeroPadding2D
tf.keras.layers.ZeroPadding2D(
padding=(1, 1), data_format=None, **kwargs
)
This layer can add rows and columns of zeros at the top, bottom, left and right side of an image tensor. Examples:
input_shape = (1, 1, 2, 2)
x = np.arange(np... | |
doc_20459 | '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_20460 |
Fit to data, then transform it. Fits transformer to X and y with optional parameters fit_params and returns a transformed version of X. Parameters
Xarray-like of shape (n_samples, n_features)
Input samples.
yarray-like of shape (n_samples,) or (n_samples, n_outputs), default=None
Target values (None for uns... | |
doc_20461 |
The last colorbar associated with this ScalarMappable. May be None. | |
doc_20462 |
Remove the artist from the figure if possible. The effect will not be visible until the figure is redrawn, e.g., with FigureCanvasBase.draw_idle. Call relim to update the axes limits if desired. Note: relim will not see collections even if the collection was added to the axes with autolim = True. Note: there is no su... | |
doc_20463 |
Compute the recall. The recall is the ratio tp / (tp + fn) where tp is the number of true positives and fn the number of false negatives. The recall is intuitively the ability of the classifier to find all the positive samples. The best value is 1 and the worst value is 0. Read more in the User Guide. Parameters
... | |
doc_20464 | textwrap.wrap(text, width=70, **kwargs)
Wraps the single paragraph in text (a string) so every line is at most width characters long. Returns a list of output lines, without final newlines. Optional keyword arguments correspond to the instance attributes of TextWrapper, documented below. width defaults to 70. See the... | |
doc_20465 |
Return the aspect ratio of the data itself. For a polar plot, this should always be 1.0 | |
doc_20466 |
DataFrame accessor for sparse data. New in version 0.25.0. | |
doc_20467 |
Return self|value. | |
doc_20468 |
Return array of indices to the minimum values along the given axis. Parameters
axis{None, integer}
If None, the index is into the flattened array, otherwise along the specified axis
fill_valuescalar or None, optional
Value used to fill in the masked values. If None, the output of minimum_fill_value(self._da... | |
doc_20469 | Delete the breakpoint which has the index arg in the Breakpoint.bpbynumber. If arg is not numeric or out of range, return an error message. | |
doc_20470 | Return a random URL-safe text string, containing nbytes random bytes. The text is Base64 encoded, so on average each byte results in approximately 1.3 characters. If nbytes is None or not supplied, a reasonable default is used. >>> token_urlsafe(16)
'Drmhze6EPcv0fN_81Bj-nA' | |
doc_20471 | Print a month’s calendar as returned by formatmonth(). | |
doc_20472 | Returns a new instance of the NTEventLogHandler class. The appname is used to define the application name as it appears in the event log. An appropriate registry entry is created using this name. The dllname should give the fully qualified pathname of a .dll or .exe which contains message definitions to hold in the log... | |
doc_20473 |
Create a short string representation of a float, which is %f formatting with trailing zeros and the decimal point removed. | |
doc_20474 |
Compile one or more source files. Please refer to the Python distutils API reference for more details. Parameters
sourceslist of str
A list of filenames
output_dirstr, optional
Path to the output directory.
macroslist of tuples
A list of macro definitions.
include_dirslist of str, optional
The direc... | |
doc_20475 | See Migration guide for more details. tf.compat.v1.keras.experimental.NoisyLinearCosineDecay
tf.keras.experimental.NoisyLinearCosineDecay(
initial_learning_rate, decay_steps, initial_variance=1.0, variance_decay=0.55,
num_periods=0.5, alpha=0.0, beta=0.001, name=None
)
See [Bello et al., ICML2017] Neural Opt... | |
doc_20476 | Describes how argument values are bound to the parameter. Possible values (accessible via Parameter, like Parameter.KEYWORD_ONLY):
Name Meaning
POSITIONAL_ONLY Value must be supplied as a positional argument. Positional only parameters are those which appear before a / entry (if present) in a Python function defi... | |
doc_20477 |
Compute the FFT of a signal that has Hermitian symmetry, i.e., a real spectrum. Parameters
aarray_like
The input array.
nint, optional
Length of the transformed axis of the output. For n output points, n//2 + 1 input points are necessary. If the input is longer than this, it is cropped. If it is shorter tha... | |
doc_20478 |
Get or set the PRNG state Returns
statedict
Dictionary containing the information required to describe the state of the PRNG | |
doc_20479 | Computes the sample frequencies for rfft() with a signal of size n. Note rfft() returns Hermitian one-sided output, so only the positive frequency terms are returned. For a real FFT of length n and with inputs spaced in length unit d, the frequencies are: f = torch.arange((n + 1) // 2) / (d * n)
Note For even lengt... | |
doc_20480 | get events from the queue get(eventtype=None) -> Eventlist get(eventtype=None, pump=True) -> Eventlist This will get all the messages and remove them from the queue. If a type or sequence of types is given only those messages will be removed from the queue. If you are only taking specific events from the queue, be aw... | |
doc_20481 | Exit status of the child process. If the process exited due to a signal, this will be the negative signal number. | |
doc_20482 |
Alias for set_edgecolor. | |
doc_20483 | Returns input_charset as a string coerced to lower case. __repr__() is an alias for __str__(). | |
doc_20484 | tf.compat.v1.executing_eagerly_outside_functions()
This function will check the outermost context for the program and see if it is in eager mode. It is useful comparing to tf.executing_eagerly(), which checks the current context and will return False within a tf.function body. It can be used to build library that beha... | |
doc_20485 | A string representation of the interface with the network as a host mask. >>> interface = IPv4Interface('192.0.2.5/24')
>>> interface.with_hostmask
'192.0.2.5/0.0.0.255' | |
doc_20486 | The parser determined that the document was not “standalone” though it declared itself to be in the XML declaration, and the NotStandaloneHandler was set and returned 0. | |
doc_20487 | bytearray.title()
Return a titlecased version of the binary sequence where words start with an uppercase ASCII character and the remaining characters are lowercase. Uncased byte values are left unmodified. For example: >>> b'Hello world'.title()
b'Hello World'
Lowercase ASCII characters are those byte values in the ... | |
doc_20488 | Returns the LU solve of the linear system Ax=bAx = b using the partially pivoted LU factorization of A from torch.lu(). This function supports float, double, cfloat and cdouble dtypes for input. Parameters
b (Tensor) – the RHS tensor of size (∗,m,k)(*, m, k) , where ∗* is zero or more batch dimensions.
LU_data (... | |
doc_20489 |
Make a scorer from a performance metric or loss function. This factory function wraps scoring functions for use in GridSearchCV and cross_val_score. It takes a score function, such as accuracy_score, mean_squared_error, adjusted_rand_index or average_precision and returns a callable that scores an estimator’s output.... | |
doc_20490 | See Migration guide for more details. tf.compat.v1.raw_ops.Softplus
tf.raw_ops.Softplus(
features, name=None
)
Args
features A Tensor. Must be one of the following types: half, bfloat16, float32, float64.
name A name for the operation (optional).
Returns A Tensor. Has the same type as fe... | |
doc_20491 | tf.autograph.to_code(
entity, recursive=True, experimental_optional_features=None
)
Example usage:
def f(x):
if x < 0:
x = -x
return x
tf.autograph.to_code(f)
"...def tf__f(x):..."
Also see: tf.autograph.to_graph.
Note: If a function has been decorated with tf.function, pass its underlying Python functi... | |
doc_20492 |
Return a copy. Returns
new_seriesseries
Copy of self. | |
doc_20493 |
Partition each element in a around sep. Calls str.partition element-wise. For each element in a, split the element as the first occurrence of sep, and return 3 strings containing the part before the separator, the separator itself, and the part after the separator. If the separator is not found, return 3 strings cont... | |
doc_20494 |
Put a value into a specified place in a field defined by a data-type. Place val into a’s field defined by dtype and beginning offset bytes into the field. Parameters
valobject
Value to be placed in field.
dtypedtype object
Data-type of the field in which to place val.
offsetint, optional
The number of b... | |
doc_20495 |
Return a callable that handles preprocessing, tokenization and n-grams generation. Returns
analyzer: callable
A function to handle preprocessing, tokenization and n-grams generation. | |
doc_20496 | tf.compat.v1.layers.average_pooling2d(
inputs, pool_size, strides, padding='valid',
data_format='channels_last', name=None
)
Arguments
inputs The tensor over which to pool. Must have rank 4.
pool_size An integer or tuple/list of 2 integers: (pool_height, pool_width) specifying the size of the po... | |
doc_20497 |
Compute the one-dimensional discrete Fourier Transform for real input. This function computes the one-dimensional n-point discrete Fourier Transform (DFT) of a real-valued array by means of an efficient algorithm called the Fast Fourier Transform (FFT). Parameters
aarray_like
Input array
nint, optional
Numb... | |
doc_20498 | Increment the line number and end line number of each node in the tree starting at node by n. This is useful to “move code” to a different location in a file. | |
doc_20499 | In-place version of leaky_relu(). |
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