_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_29200 |
Parameters:
signal – A signal or a list of signals to connect a function to. | |
doc_29201 |
Compute mean of groups, excluding missing values. Parameters
numeric_only:bool, default True
Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data.
engine:str, default None
'cython' : Runs the operation through C-extensions from cython. 'numba' : Runs... | |
doc_29202 | Finish the compression process. Returns the compressed data left in internal buffers. The compressor object may not be used after this method has been called. | |
doc_29203 | Context manager to swap out an item with a new object. Usage: with swap_item(obj, "item", 5):
...
This will set obj["item"] to 5 for the duration of the with block, restoring the old value at the end of the block. If item doesn’t exist on obj, it will be created and then deleted at the end of the block. The old va... | |
doc_29204 | See Migration guide for more details. tf.compat.v1.raw_ops.ComputeBatchSize
tf.raw_ops.ComputeBatchSize(
input_dataset, name=None
)
Args
input_dataset A Tensor of type variant.
name A name for the operation (optional).
Returns A Tensor of type int64. | |
doc_29205 |
Sets the seed for generating random numbers to a random number on all GPUs. It’s safe to call this function if CUDA is not available; in that case, it is silently ignored. | |
doc_29206 | The version number of this module, as a tuple of integers. This is not the version of the SQLite library. | |
doc_29207 |
Add an Axes to the figure. Call signatures: add_axes(rect, projection=None, polar=False, **kwargs)
add_axes(ax)
Parameters
rectsequence of float
The dimensions [left, bottom, width, height] of the new Axes. All quantities are in fractions of figure width and height.
projection{None, 'aitoff', 'hammer', 'lamb... | |
doc_29208 | See Migration guide for more details. tf.compat.v1.raw_ops.OptionalNone
tf.raw_ops.OptionalNone(
name=None
)
Args
name A name for the operation (optional).
Returns A Tensor of type variant. | |
doc_29209 | class sklearn.linear_model.Perceptron(*, penalty=None, alpha=0.0001, l1_ratio=0.15, fit_intercept=True, max_iter=1000, tol=0.001, shuffle=True, verbose=0, eta0=1.0, n_jobs=None, random_state=0, early_stopping=False, validation_fraction=0.1, n_iter_no_change=5, class_weight=None, warm_start=False) [source]
Read more i... | |
doc_29210 | A type, introduced in PEP 593 (Flexible function and variable
annotations), to decorate existing types with context-specific metadata (possibly multiple pieces of it, as Annotated is variadic). Specifically, a type T can be annotated with metadata x via the typehint Annotated[T, x]. This metadata can be used for either... | |
doc_29211 |
Compute count of group, excluding missing values. Returns
Series or DataFrame
Count of values within each group. 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_29212 | See Migration guide for more details. tf.compat.v1.raw_ops.OneShotIterator
tf.raw_ops.OneShotIterator(
dataset_factory, output_types, output_shapes, container='',
shared_name='', name=None
)
A one-shot iterator bundles the logic for defining the dataset and the state of the iterator in a single op, which all... | |
doc_29213 | Set the title used in the generated HTML documentation. This title will be used inside the HTML “title” element. | |
doc_29214 | See Migration guide for more details. tf.compat.v1.raw_ops.NonDeterministicInts
tf.raw_ops.NonDeterministicInts(
shape, dtype=tf.dtypes.int64, name=None
)
This op may use some OS-provided source of non-determinism (e.g. an RNG), so each execution will give different results.
Args
shape A Tensor. The sha... | |
doc_29215 | Marks strings for translation but doesn’t translate them now. This can be used to store strings in global variables that should stay in the base language (because they might be used externally) and will be translated later. | |
doc_29216 |
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_29217 |
Return the current axisline style. | |
doc_29218 |
Extract element from each component at specified position. Extract element from lists, tuples, or strings in each element in the Series/Index. Parameters
i:int
Position of element to extract. Returns
Series or Index
Examples
>>> s = pd.Series(["String",
... (1, 2, 3),
... ["... | |
doc_29219 |
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_29220 | Return the running event loop in the current OS thread. If there is no running event loop a RuntimeError is raised. This function can only be called from a coroutine or a callback. New in version 3.7. | |
doc_29221 | self.double() is equivalent to self.to(torch.float64). See to(). Parameters
memory_format (torch.memory_format, optional) – the desired memory format of returned Tensor. Default: torch.preserve_format. | |
doc_29222 | See Migration guide for more details. tf.compat.v1.raw_ops.FixedLengthRecordDataset
tf.raw_ops.FixedLengthRecordDataset(
filenames, header_bytes, record_bytes, footer_bytes, buffer_size, name=None
)
Args
filenames A Tensor of type string. A scalar or a vector containing the name(s) of the file(s) to be ... | |
doc_29223 | Creates a new object of the same type of instance, replacing fields with values from changes. If instance is not a Data Class, raises TypeError. If values in changes do not specify fields, raises TypeError. The newly returned object is created by calling the __init__() method of the dataclass. This ensures that __post_... | |
doc_29224 | Returns the originating port of the request using information from the HTTP_X_FORWARDED_PORT (if USE_X_FORWARDED_PORT is enabled) and SERVER_PORT META variables, in that order. | |
doc_29225 | Close currently selected mailbox. Deleted messages are removed from writable mailbox. This is the recommended command before LOGOUT. | |
doc_29226 | String representing a port or a set of ports (eg. ‘80’, or ‘80,8080’), or None. | |
doc_29227 |
Compute median of groups, excluding missing values. For multiple groupings, the result index will be a MultiIndex Parameters
numeric_only:bool, default True
Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. Returns
Series or DataFrame
Median of ... | |
doc_29228 |
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_29229 |
The module is mainly for debug and records the tensor values during runtime. Parameters
dtype – Quantized data type
qscheme – Quantization scheme to be used
reduce_range – Reduces the range of the quantized data type by 1 bit | |
doc_29230 |
Extract FAST corners for a given image. Parameters
image2D ndarray
Input image.
nint, optional
Minimum number of consecutive pixels out of 16 pixels on the circle that should all be either brighter or darker w.r.t testpixel. A point c on the circle is darker w.r.t test pixel p if Ic < Ip - threshold and bri... | |
doc_29231 | class sklearn.neighbors.KNeighborsRegressor(n_neighbors=5, *, weights='uniform', algorithm='auto', leaf_size=30, p=2, metric='minkowski', metric_params=None, n_jobs=None, **kwargs) [source]
Regression based on k-nearest neighbors. The target is predicted by local interpolation of the targets associated of the nearest... | |
doc_29232 |
Convert series to a different kind and/or domain and/or window. Parameters
domainarray_like, optional
The domain of the converted series. If the value is None, the default domain of kind is used.
kindclass, optional
The polynomial series type class to which the current instance should be converted. If kind ... | |
doc_29233 | This method always returns a list of values associated with form field name. The method returns an empty list if no such form field or value exists for name. It returns a list consisting of one item if only one such value exists. | |
doc_29234 |
Set the CapStyle for the collection (for all its elements). Parameters
csCapStyle or {'butt', 'projecting', 'round'} | |
doc_29235 | tf.nn.sufficient_statistics(
x, axes, shift=None, keepdims=False, name=None
)
These sufficient statistics are computed using the one pass algorithm on an input that's optionally shifted. See: https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Computing_shifted_data
Args
x A Tensor.
axes... | |
doc_29236 |
Return image subtracted from its local mean. Only greyvalues between percentiles [p0, p1] are considered in the filter. Parameters
image2-D array (uint8, uint16)
Input image.
selem2-D array
The neighborhood expressed as a 2-D array of 1’s and 0’s.
out2-D array (same dtype as input)
If None, a new array ... | |
doc_29237 | sklearn.preprocessing.add_dummy_feature(X, value=1.0) [source]
Augment dataset with an additional dummy feature. This is useful for fitting an intercept term with implementations which cannot otherwise fit it directly. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
Data.
valuefloat
... | |
doc_29238 | Just returns self, this method is only to comply with the Decimal Specification. | |
doc_29239 | For text/* content-types, the character set (i.e. utf8) supplied by the browser. Again, “trust but verify” is the best policy here. | |
doc_29240 | Run the command described by args. Wait for command to complete, then return a CompletedProcess instance. The arguments shown above are merely the most common ones, described below in Frequently Used Arguments (hence the use of keyword-only notation in the abbreviated signature). The full function signature is largely ... | |
doc_29241 | Like setdefault(), except it takes a list of values instead of a single value. | |
doc_29242 |
True if this transform has a corresponding inverse transform. | |
doc_29243 |
Bases: matplotlib.patheffects.Stroke A shortcut PathEffect for applying Stroke and then drawing the original Artist. With this class you can use artist.set_path_effects([path_effects.withStroke()])
as a shortcut for artist.set_path_effects([path_effects.Stroke(),
path_effects.Normal()])
The... | |
doc_29244 |
Update colors from the scalar mappable array, if any. Assign colors to edges and faces based on the array and/or colors that were directly set, as appropriate. | |
doc_29245 | Return a new path with the suffix changed. If the original path doesn’t have a suffix, the new suffix is appended instead. If the suffix is an empty string, the original suffix is removed: >>> p = PureWindowsPath('c:/Downloads/pathlib.tar.gz')
>>> p.with_suffix('.bz2')
PureWindowsPath('c:/Downloads/pathlib.tar.bz2')
>>... | |
doc_29246 |
Delete all the content of the data home cache. Parameters
data_homestr, default=None
The path to scikit-learn data directory. If None, the default path is ~/sklearn_learn_data. | |
doc_29247 |
Applies a 3D convolution over a quantized 3D input composed of several input planes. See Conv3d for details and output shape. Parameters
input – quantized input tensor of shape (minibatch,in_channels,iD,iH,iW)(\text{minibatch} , \text{in\_channels} , iD , iH , iW)
weight – quantized filters of shape (out_chann... | |
doc_29248 | This method is called to handle the start of a tag (e.g. <div id="main">). The tag argument is the name of the tag converted to lower case. The attrs argument is a list of (name, value) pairs containing the attributes found inside the tag’s <> brackets. The name will be translated to lower case, and quotes in the value... | |
doc_29249 |
Inverse the transformation. Return a vector of size nb_features with the values of Xred assigned to each group of features Parameters
Xredarray-like of shape (n_samples, n_clusters) or (n_clusters,)
The values to be assigned to each cluster of samples Returns
Xndarray of shape (n_samples, n_features) or (... | |
doc_29250 | The namespace associated with the element name. This will be a string or None. This is a read-only attribute. | |
doc_29251 | Provides a mutable list-like object where all values stored within are stored in a shared memory block. This constrains storable values to only the int, float, bool, str (less than 10M bytes each), bytes (less than 10M bytes each), and None built-in data types. It also notably differs from the built-in list type in tha... | |
doc_29252 |
Alias for get_edgecolor. | |
doc_29253 |
Return whether the artist is animated. | |
doc_29254 | Comment element factory. This factory function creates a special element that will be serialized as an XML comment by the standard serializer. The comment string can be either a bytestring or a Unicode string. text is a string containing the comment string. Returns an element instance representing a comment. Note that ... | |
doc_29255 | Alias for dim() | |
doc_29256 |
Split arrays or matrices into random train and test subsets Quick utility that wraps input validation and next(ShuffleSplit().split(X, y)) and application to input data into a single call for splitting (and optionally subsampling) data in a oneliner. Read more in the User Guide. Parameters
*arrayssequence of inde... | |
doc_29257 | This is a Python type object that represents the socket object type. It is the same as type(socket(...)). | |
doc_29258 | Return the clk_id of the thread-specific CPU-time clock for the specified thread_id. Use threading.get_ident() or the ident attribute of threading.Thread objects to get a suitable value for thread_id. Warning Passing an invalid or expired thread_id may result in undefined behavior, such as segmentation fault. Availab... | |
doc_29259 | The User model has a custom manager that has the following helper methods (in addition to the methods provided by BaseUserManager):
create_user(username, email=None, password=None, **extra_fields)
Creates, saves and returns a User. The username and password are set as given. The domain portion of email is automatic... | |
doc_29260 | This is one of two standard signal handling options; it will simply perform the default function for the signal. For example, on most systems the default action for SIGQUIT is to dump core and exit, while the default action for SIGCHLD is to simply ignore it. | |
doc_29261 |
Bases: skimage.viewer.canvastools.base.CanvasToolBase, matplotlib.widgets.RectangleSelector Widget for selecting a rectangular region in a plot. After making the desired selection, press “Enter” to accept the selection and call the on_enter callback function. Parameters
managerViewer or PlotPlugin.
Skimage view... | |
doc_29262 | Returns a namedtuple (values, indices) where values is the cumulative minimum of elements of input in the dimension dim. And indices is the index location of each maximum value found in the dimension dim. yi=min(x1,x2,x3,…,xi)y_i = min(x_1, x_2, x_3, \dots, x_i)
Parameters
input (Tensor) – the input tensor.
dim... | |
doc_29263 | Assert that the __all__ variable of module contains all public names. The module’s public names (its API) are detected automatically based on whether they match the public name convention and were defined in module. The name_of_module argument can specify (as a string or tuple thereof) what module(s) an API could be de... | |
doc_29264 | See Migration guide for more details. tf.compat.v1.parallel_stack
tf.parallel_stack(
values, name='parallel_stack'
)
Requires that the shape of inputs be known at graph construction time. Packs the list of tensors in values into a tensor with rank one higher than each tensor in values, by packing them along the ... | |
doc_29265 | See Migration guide for more details. tf.compat.v1.estimator.GlobalStepWaiterHook, tf.compat.v1.train.GlobalStepWaiterHook
tf.estimator.GlobalStepWaiterHook(
wait_until_step
)
This hook delays execution until global step reaches to wait_until_step. It is used to gradually start workers in distributed settings. O... | |
doc_29266 | Return True if all elements of the iterable are true (or if the iterable is empty). Equivalent to: def all(iterable):
for element in iterable:
if not element:
return False
return True | |
doc_29267 | Flushes the stream by calling its flush() method. Note that the close() method is inherited from Handler and so does no output, so an explicit flush() call may be needed at times. | |
doc_29268 | tf.compat.v1.metrics.mean_per_class_accuracy(
labels, predictions, num_classes, weights=None, metrics_collections=None,
updates_collections=None, name=None
)
Calculates the accuracy for each class, then takes the mean of that. For estimation of the metric over a stream of data, the function creates an update_o... | |
doc_29269 | In-place version of arcsin() | |
doc_29270 | tf.losses.serialize Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.serialize
tf.keras.losses.serialize(
loss
)
Arguments
loss A Keras Loss instance or a loss function.
Returns Loss configuration dictionary. | |
doc_29271 |
Alias for get_linestyle. | |
doc_29272 | Returns True if the useragent is allowed to fetch the url according to the rules contained in the parsed robots.txt file. | |
doc_29273 | Commit the changes pending in the current transaction, by calling MSIDatabaseCommit(). | |
doc_29274 | The CliRunner subclass, by default FlaskCliRunner that is used by test_cli_runner(). Its __init__ method should take a Flask app object as the first argument. Changelog New in version 1.0. | |
doc_29275 | Find the loader for a module, optionally within the specified path. If the module is in sys.modules, then sys.modules[name].__loader__ is returned (unless the loader would be None or is not set, in which case ValueError is raised). Otherwise a search using sys.meta_path is done. None is returned if no loader is found. ... | |
doc_29276 | tf.initializers.Constant, tf.initializers.constant, tf.keras.initializers.constant
tf.keras.initializers.Constant(
value=0
)
Also available via the shortcut function tf.keras.initializers.constant. Only scalar values are allowed. The constant value provided must be convertible to the dtype requested when calling... | |
doc_29277 | scale a surface to an arbitrary size smoothly smoothscale(Surface, (width, height), DestSurface = None) -> Surface Uses one of two different algorithms for scaling each dimension of the input surface as required. For shrinkage, the output pixels are area averages of the colors they cover. For expansion, a bilinear fi... | |
doc_29278 |
A popular third-party coverage tool that provides HTML output along with advanced features such as branch coverage. Command-Line Usage The trace module can be invoked from the command line. It can be as simple as python -m trace --count -C . somefile.py ...
The above will execute somefile.py and generate annotated... | |
doc_29279 |
Alias for is_monotonic_increasing. | |
doc_29280 |
Roll provided date backward to next offset only if not on offset. Returns
TimeStamp
Rolled timestamp if not on offset, otherwise unchanged timestamp. | |
doc_29281 | Set the flag(s) specified by flag without changing other flags. To add more than one flag at a time, flag may be a string of more than one character. | |
doc_29282 | class multiprocessing.shared_memory.SharedMemory(name=None, create=False, size=0)
Creates a new shared memory block or attaches to an existing shared memory block. Each shared memory block is assigned a unique name. In this way, one process can create a shared memory block with a particular name and a different proce... | |
doc_29283 | '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_29284 | See Migration guide for more details. tf.compat.v1.raw_ops.ResourceGatherNd
tf.raw_ops.ResourceGatherNd(
resource, indices, dtype, name=None
)
Args
resource A Tensor of type resource.
indices A Tensor. Must be one of the following types: int32, int64.
dtype A tf.DType.
name A name for ... | |
doc_29285 |
Return the mean accuracy on the given test data and labels. In multi-label classification, this is the subset accuracy which is a harsh metric since you require for each sample that each label set be correctly predicted. Parameters
Xarray-like of shape (n_samples, n_features)
Test samples.
yarray-like of shap... | |
doc_29286 |
Applies a softmax function. Softmax is defined as: Softmax(xi)=exp(xi)∑jexp(xj)\text{Softmax}(x_{i}) = \frac{exp(x_i)}{\sum_j exp(x_j)} where i,ji, j run over sparse tensor indices and unspecified entries are ignores. This is equivalent to defining unspecified entries as negative infinity so that exp(xk)=0exp(x_k) ... | |
doc_29287 | tkinter.WRITABLE
tkinter.EXCEPTION
Constants used in the mask arguments. | |
doc_29288 | tf.saved_model.LoadOptions(
experimental_io_device=None
)
This function may be used in the options argument in functions that load a SavedModel (tf.saved_model.load, tf.keras.models.load_model).
Args
experimental_io_device string. Applies in a distributed setting. Tensorflow device to use to access the fi... | |
doc_29289 |
Compute decision function of X for each iteration. This method allows monitoring (i.e. determine error on testing set) after each stage. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The input samples. Internally, it will be converted to dtype=np.float32 and if a sparse matrix is prov... | |
doc_29290 | The following exception is defined:
exception webbrowser.Error
Exception raised when a browser control error occurs.
The following functions are defined:
webbrowser.open(url, new=0, autoraise=True)
Display url using the default browser. If new is 0, the url is opened in the same browser window if possible. I... | |
doc_29291 | See InlineModelAdmin objects below as well as ModelAdmin.get_formsets_with_inlines(). | |
doc_29292 | tf.image.decode_bmp Compat aliases for migration See Migration guide for more details. tf.compat.v1.image.decode_bmp, tf.compat.v1.io.decode_bmp
tf.io.decode_bmp(
contents, channels=0, name=None
)
The attr channels indicates the desired number of color channels for the decoded image. Accepted values are: 0: Use... | |
doc_29293 |
Top level Artist, which holds all plot elements. Many methods are implemented in FigureBase. SubFigure
A logical figure inside a figure, usually added to a figure (or parent SubFigure) with Figure.add_subfigure or Figure.subfigures methods (provisional API v3.4). SubplotParams
Control the default spacing between s... | |
doc_29294 |
Resample arrays or sparse matrices in a consistent way. The default strategy implements one step of the bootstrapping procedure. Parameters
*arrayssequence of array-like of shape (n_samples,) or (n_samples, n_outputs)
Indexable data-structures can be arrays, lists, dataframes or scipy sparse matrices with consi... | |
doc_29295 | Gets or sets the red value of the Color. r -> int The red value of the Color. | |
doc_29296 | Alias for numel() | |
doc_29297 | Set the tty attributes for file descriptor fd from the attributes, which is a list like the one returned by tcgetattr(). The when argument determines when the attributes are changed: TCSANOW to change immediately, TCSADRAIN to change after transmitting all queued output, or TCSAFLUSH to change after transmitting all qu... | |
doc_29298 | Return the string obtained by doing backslash substitution on the template string template, as done by the sub() method. Escapes such as \n are converted to the appropriate characters, and numeric backreferences (\1, \2) and named backreferences (\g<1>, \g<name>) are replaced by the contents of the corresponding group.... | |
doc_29299 |
Parameters
urlslist of str or None
Notes URLs are currently only implemented by the SVG backend. They are ignored by all other backends. |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.