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doc_29400
File-based animated gif writer. Frames are written to temporary files on disk and then stitched together at the end. __init__(*args, **kwargs)[source] Methods __init__(*args, **kwargs) bin_path() Return the binary path to the commandline tool used by a specific subclass. cleanup() [Deprecated] finish() F...
doc_29401
Return the clip path.
doc_29402
Return the Euclidean distance between two points p and q, each given as a sequence (or iterable) of coordinates. The two points must have the same dimension. Roughly equivalent to: sqrt(sum((px - qx) ** 2.0 for px, qx in zip(p, q))) New in version 3.8.
doc_29403
Add a director as parent.
doc_29404
The view function that would be used to serve the URL
doc_29405
The metadata of this band. The functionality is identical to GDALRaster.metadata.
doc_29406
tf.losses.MeanSquaredLogarithmicError Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.MeanSquaredLogarithmicError tf.keras.losses.MeanSquaredLogarithmicError( reduction=losses_utils.ReductionV2.AUTO, name='mean_squared_logarithmic_error' ) loss = square(log(y_true...
doc_29407
Optional type. Optional[X] is equivalent to Union[X, None]. Note that this is not the same concept as an optional argument, which is one that has a default. An optional argument with a default does not require the Optional qualifier on its type annotation just because it is optional. For example: def foo(arg: int = 0) ...
doc_29408
pygame object for storing rectangular coordinates Rect(left, top, width, height) -> Rect Rect((left, top), (width, height)) -> Rect Rect(object) -> Rect Pygame uses Rect objects to store and manipulate rectangular areas. A Rect can be created from a combination of left, top, width, and height values. Rects can als...
doc_29409
Integer representation of the values. Returns ndarray An ndarray with int64 dtype.
doc_29410
Return a short string version of the tick value. Defaults to the position-independent long value.
doc_29411
Return the number of non-overlapping occurrences of substring sub in the range [start, end]. Optional arguments start and end are interpreted as in slice notation.
doc_29412
C-Support Vector Classification. The implementation is based on libsvm. The fit time scales at least quadratically with the number of samples and may be impractical beyond tens of thousands of samples. For large datasets consider using LinearSVC or SGDClassifier instead, possibly after a Nystroem transformer. The mul...
doc_29413
Sticky bit. When this bit is set on a directory it means that a file in that directory can be renamed or deleted only by the owner of the file, by the owner of the directory, or by a privileged process.
doc_29414
Returns the average of the array elements along given axis. Masked entries are ignored, and result elements which are not finite will be masked. Refer to numpy.mean for full documentation. See also numpy.ndarray.mean corresponding function for ndarrays numpy.mean Equivalent function numpy.ma.average Weighted a...
doc_29415
See Migration guide for more details. tf.compat.v1.raw_ops.Unbatch tf.raw_ops.Unbatch( batched_tensor, batch_index, id, timeout_micros, container='', shared_name='', name=None ) An instance of Unbatch either receives an empty batched_tensor, in which case it asynchronously waits until the values become avail...
doc_29416
initialize all imported pygame modules init() -> (numpass, numfail) Initialize all imported pygame modules. No exceptions will be raised if a module fails, but the total number if successful and failed inits will be returned as a tuple. You can always initialize individual modules manually, but pygame.init() is a con...
doc_29417
Return the value of the (natural) exponential function e**x at the given number. The result is correctly rounded using the ROUND_HALF_EVEN rounding mode. >>> Decimal(1).exp() Decimal('2.718281828459045235360287471') >>> Decimal(321).exp() Decimal('2.561702493119680037517373933E+139')
doc_29418
Generate the file names in a directory tree by walking the tree either top-down or bottom-up. For each directory in the tree rooted at directory top (including top itself), it yields a 3-tuple (dirpath, dirnames, filenames). dirpath is a string, the path to the directory. dirnames is a list of the names of the subdirec...
doc_29419
Return the Transform instance used by this artist.
doc_29420
Return the transpose, which is by definition self. Returns %(klass)s
doc_29421
Mask rows and/or columns of a 2D array that contain masked values. Mask whole rows and/or columns of a 2D array that contain masked values. The masking behavior is selected using the axis parameter. If axis is None, rows and columns are masked. If axis is 0, only rows are masked. If axis is 1 or -1, only columns are...
doc_29422
Sets the data buffer unpack position to position. You should be careful about using get_position() and set_position().
doc_29423
The Click command group for registering CLI commands for this object. The commands are available from the flask command once the application has been discovered and blueprints have been registered.
doc_29424
See Migration guide for more details. tf.compat.v1.initializers.tables_initializer tf.compat.v1.tables_initializer( name='init_all_tables' ) See the Low Level Intro guide, for an example of usage. Args name Optional name for the initialization op. Returns An Op that initializes all tables. Not...
doc_29425
Raised when a future operation exceeds the given timeout.
doc_29426
Return symmetric conditional entropies associated with the VI. [1] The variation of information is defined as VI(X,Y) = H(X|Y) + H(Y|X). If X is the ground-truth segmentation, then H(X|Y) can be interpreted as the amount of under-segmentation and H(X|Y) as the amount of over-segmentation. In other words, a perfect ov...
doc_29427
Keymap to associate with this tool. list[str]: List of keys that will trigger this tool when a keypress event is emitted on self.figure.canvas.
doc_29428
Allows control over sharing of browsing context group with cross-origin documents. Values must be a member of the werkzeug.http.COOP enum.
doc_29429
Returns the state of the optimizer as a dict. It contains two entries: state - a dict holding current optimization state. Its content differs between optimizer classes. param_groups - a dict containing all parameter groups
doc_29430
See Migration guide for more details. tf.compat.v1.raw_ops.RetrieveTPUEmbeddingCenteredRMSPropParameters tf.raw_ops.RetrieveTPUEmbeddingCenteredRMSPropParameters( num_shards, shard_id, table_id=-1, table_name='', config='', name=None ) An op that retrieves optimization parameters from embedding to host memor...
doc_29431
See Migration guide for more details. tf.compat.v1.keras.utils.register_keras_serializable tf.keras.utils.register_keras_serializable( package='Custom', name=None ) This decorator injects the decorated class or function into the Keras custom object dictionary, so that it can be serialized and deserialized withou...
doc_29432
Returns True if the type of element is a scalar type. Parameters elementany Input argument, can be of any type and shape. Returns valbool True if element is a scalar type, False if it is not. See also ndim Get the number of dimensions of an array Notes If you need a stricter way to identify a ...
doc_29433
For scoped addresses as defined by RFC 4007, this property identifies the particular zone of the address’s scope that the address belongs to, as a string. When no scope zone is specified, this property will be None.
doc_29434
Set the value array from array-like A. Parameters Aarray-like or None The values that are mapped to colors. The base class ScalarMappable does not make any assumptions on the dimensionality and shape of the value array A.
doc_29435
See Migration guide for more details. tf.compat.v1.keras.constraints.deserialize tf.keras.constraints.deserialize( config, custom_objects=None )
doc_29436
Call self as a function.
doc_29437
Passive Aggressive Classifier Read more in the User Guide. Parameters Cfloat, default=1.0 Maximum step size (regularization). Defaults to 1.0. fit_interceptbool, default=True Whether the intercept should be estimated or not. If False, the data is assumed to be already centered. max_iterint, default=1000 ...
doc_29438
See Migration guide for more details. tf.compat.v1.raw_ops.Erf tf.raw_ops.Erf( x, name=None ) Args x A Tensor. Must be one of the following types: bfloat16, half, float32, float64. name A name for the operation (optional). Returns A Tensor. Has the same type as x.
doc_29439
Abstract base class for classes implementing mesh refinement. A TriRefiner encapsulates a Triangulation object and provides tools for mesh refinement and interpolation. Derived classes must implement: refine_triangulation(return_tri_index=False, **kwargs) , where the optional keyword arguments kwargs are defined in...
doc_29440
Each non-abstract Model class must have a Manager instance added to it. Django ensures that in your model class you have at least a default Manager specified. If you don’t add your own Manager, Django will add an attribute objects containing default Manager instance. If you add your own Manager instance attribute, the ...
doc_29441
Integrate. Return a series instance that is the definite integral of the current series. Parameters mnon-negative int The number of integrations to perform. karray_like Integration constants. The first constant is applied to the first integration, the second to the second, and so on. The list of values must...
doc_29442
Index Attribute Meaning 0 gr_name the name of the group 1 gr_passwd the (encrypted) group password; often empty 2 gr_gid the numerical group ID 3 gr_mem all the group member’s user names The gid is an integer, name and password are strings, and the member list is a list of strings. (Note that most users are ...
doc_29443
Returns a copy of the calling offset object with n=1 and all other attributes equal.
doc_29444
Define the picking behavior of the artist. Parameters pickerNone or bool or float or callable This can be one of the following: None: Picking is disabled for this artist (default). A boolean: If True then picking will be enabled and the artist will fire a pick event if the mouse event is over the artist. A fl...
doc_29445
Transform functor that applies a sequence of transforms tseq component-wise to each submatrix at dim in a way compatible with torch.stack(). Example:: x = torch.stack([torch.range(1, 10), torch.range(1, 10)], dim=1) t = StackTransform([ExpTransform(), identity_transform], dim=1) y = t(x)
doc_29446
The dictionary of converters. This can be modified after the class was created, but will only affect rules added after the modification. If the rules are defined with the list passed to the class, the converters parameter to the constructor has to be used instead.
doc_29447
Extract DAISY feature descriptors densely for the given image. DAISY is a feature descriptor similar to SIFT formulated in a way that allows for fast dense extraction. Typically, this is practical for bag-of-features image representations. The implementation follows Tola et al. [1] but deviate on the following points...
doc_29448
'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_29449
Convert strings in the Series/Index to be casefolded. New in version 0.25.0. Equivalent to str.casefold(). 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 o...
doc_29450
class smtplib.SMTP(host='', port=0, local_hostname=None, [timeout, ]source_address=None) An SMTP instance encapsulates an SMTP connection. It has methods that support a full repertoire of SMTP and ESMTP operations. If the optional host and port parameters are given, the SMTP connect() method is called with those para...
doc_29451
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizeAndDequantize tf.raw_ops.QuantizeAndDequantize( input, signed_input=True, num_bits=8, range_given=False, input_min=0, input_max=0, name=None ) Args input A Tensor. Must be one of the following types: bfloat16, half, float32, float64....
doc_29452
See Migration guide for more details. tf.compat.v1.raw_ops.UnravelIndex tf.raw_ops.UnravelIndex( indices, dims, name=None ) Example: y = tf.unravel_index(indices=[2, 5, 7], dims=[3, 3]) # 'dims' represent a hypothetical (3, 3) tensor of indices: # [[0, 1, *2*], # [3, 4, *5*], # [6, *7*, 8]] # For each entry fr...
doc_29453
Parses a range header into a ContentRange object or None if parsing is not possible. Changelog New in version 0.7. Parameters value (Optional[str]) – a content range header to be parsed. on_update (Optional[Callable[[werkzeug.datastructures.ContentRange], None]]) – an optional callable that is called every time ...
doc_29454
Object that is less than anything (except itself). Used to test mixed type comparison.
doc_29455
Return the Transform instance used by this artist.
doc_29456
Return True if the call was successfully cancelled or finished running.
doc_29457
Scalar method identical to the corresponding array attribute. Please see ndarray.choose.
doc_29458
Parameters Xfloat or int, ndarray or scalar The data value(s) to convert to RGBA. For floats, X should be in the interval [0.0, 1.0] to return the RGBA values X*100 percent along the Colormap line. For integers, X should be in the interval [0, Colormap.N) to return RGBA values indexed from the Colormap with ind...
doc_29459
Interpret a buffer as a 1-dimensional array. Parameters bufferbuffer_like An object that exposes the buffer interface. dtypedata-type, optional Data-type of the returned array; default: float. countint, optional Number of items to read. -1 means all data in the buffer. offsetint, optional Start read...
doc_29460
re.MULTILINE When specified, the pattern character '^' matches at the beginning of the string and at the beginning of each line (immediately following each newline); and the pattern character '$' matches at the end of the string and at the end of each line (immediately preceding each newline). By default, '^' matches...
doc_29461
Call self as a function.
doc_29462
Generate C preprocessor definitions and include headers of a CPU feature. Parameters ‘feature_name’: str CPU feature name in uppercase. ‘tabs’: int if > 0, align the generated strings to the right depend on number of tabs. Returns str, generated C preprocessor Examples >>> self.feature_c_preprocessor("S...
doc_29463
Follow RFC 2965 rules on unverifiable transactions (usually, an unverifiable transaction is one resulting from a redirect or a request for an image hosted on another site). If this is false, cookies are never blocked on the basis of verifiability
doc_29464
Return name of a marker XObject representing the given path.
doc_29465
sklearn.metrics.precision_score(y_true, y_pred, *, labels=None, pos_label=1, average='binary', sample_weight=None, zero_division='warn') [source] Compute the precision. The precision is the ratio tp / (tp + fp) where tp is the number of true positives and fp the number of false positives. The precision is intuitively...
doc_29466
Return the font style. Values are: 'normal', 'italic' or 'oblique'.
doc_29467
See Migration guide for more details. tf.compat.v1.raw_ops.Fill tf.raw_ops.Fill( dims, value, name=None ) This operation creates a tensor of shape dims and fills it with value. For example: # Output tensor has shape [2, 3]. fill([2, 3], 9) ==> [[9, 9, 9] [9, 9, 9]] tf.fill differs from tf.c...
doc_29468
""" 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_29469
Returns the valid methods that match for a given path. Changelog New in version 0.7. Parameters path_info (Optional[str]) – Return type Iterable[str]
doc_29470
Return a context manager for temporarily changing rcParams. Parameters rcdict The rcParams to temporarily set. fnamestr or path-like A file with Matplotlib rc settings. If both fname and rc are given, settings from rc take precedence. See also The matplotlibrc file Examples Passing explicit values v...
doc_29471
Describes 52-53 week fiscal year. This is also known as a 4-4-5 calendar. It is used by companies that desire that their fiscal year always end on the same day of the week. It is a method of managing accounting periods. It is a common calendar structure for some industries, such as retail, manufacturing and parking i...
doc_29472
See Migration guide for more details. tf.compat.v1.estimator.NanTensorHook, tf.compat.v1.train.NanTensorHook tf.estimator.NanTensorHook( loss_tensor, fail_on_nan_loss=True ) Can either fail with exception or just stop training. Args loss_tensor Tensor, the loss tensor. fail_on_nan_loss bool, wheth...
doc_29473
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_29474
Create a spreadsheet-style pivot table as a DataFrame. The levels in the pivot table will be stored in MultiIndex objects (hierarchical indexes) on the index and columns of the result DataFrame. Parameters data:DataFrame values:column to aggregate, optional index:column, Grouper, array, or list of the previou...
doc_29475
Set a new protocol. Switching protocol should only be done when both protocols are documented to support the switch.
doc_29476
Fit the SVM model according to the given training data. Parameters X{array-like, sparse matrix} of shape (n_samples, n_features) or (n_samples, n_samples) Training vectors, where n_samples is the number of samples and n_features is the number of features. For kernel=”precomputed”, the expected shape of X is (n_...
doc_29477
Decorator to indicate that annotations are not type hints. This works as class or function decorator. With a class, it applies recursively to all methods defined in that class (but not to methods defined in its superclasses or subclasses). This mutates the function(s) in place.
doc_29478
tf.optimizers.schedules.serialize Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.optimizers.schedules.serialize tf.keras.optimizers.schedules.serialize( learning_rate_schedule )
doc_29479
Calls str.decode element-wise. The set of available codecs comes from the Python standard library, and may be extended at runtime. For more information, see the codecs module. Parameters aarray_like of str or unicode encodingstr, optional The name of an encoding errorsstr, optional Specifies how to handle...
doc_29480
Return the data associated with pathname. Raise OSError if the file wasn’t found. Changed in version 3.3: IOError used to be raised instead of OSError.
doc_29481
Adds a function to the internal list of functions that should be called as part of closing down the response. Since 0.7 this function also returns the function that was passed so that this can be used as a decorator. Changelog New in version 0.6. Parameters func (Callable[[], Any]) – Return type Callable[[], Any...
doc_29482
Return true if the lock is acquired.
doc_29483
Retrieve a file or directory listing in the encoding specified by the encoding parameter at initialization. cmd should be an appropriate RETR command (see retrbinary()) or a command such as LIST or NLST (usually just the string 'LIST'). LIST retrieves a list of files and information about those files. NLST retrieves a ...
doc_29484
Returns a copy of the calling offset object with n=1 and all other attributes equal.
doc_29485
Sets the learning rate of each parameter group according to cyclical learning rate policy (CLR). The policy cycles the learning rate between two boundaries with a constant frequency, as detailed in the paper Cyclical Learning Rates for Training Neural Networks. The distance between the two boundaries can be scaled on...
doc_29486
Alias for self._offset.
doc_29487
Align the ylabels of subplots in the same subplot column if label alignment is being done automatically (i.e. the label position is not manually set). Alignment persists for draw events after this is called. If a label is on the left, it is aligned with labels on Axes that also have their label on the left and that h...
doc_29488
Set parameters within this locator.
doc_29489
tf.compat.v1.layers.batch_normalization( inputs, axis=-1, momentum=0.99, epsilon=0.001, center=True, scale=True, beta_initializer=tf.zeros_initializer(), gamma_initializer=tf.ones_initializer(), moving_mean_initializer=tf.zeros_initializer(), moving_variance_initializer=tf.ones_initializer(), beta_r...
doc_29490
A datetime of the user’s last login.
doc_29491
Alias for set_antialiased.
doc_29492
mmap.MADV_RANDOM mmap.MADV_SEQUENTIAL mmap.MADV_WILLNEED mmap.MADV_DONTNEED mmap.MADV_REMOVE mmap.MADV_DONTFORK mmap.MADV_DOFORK mmap.MADV_HWPOISON mmap.MADV_MERGEABLE mmap.MADV_UNMERGEABLE mmap.MADV_SOFT_OFFLINE mmap.MADV_HUGEPAGE mmap.MADV_NOHUGEPAGE mmap.MADV_DONTDUMP mmap.MADV_DODUMP m...
doc_29493
Returns a list of all known themes.
doc_29494
Returns the underlying storage.
doc_29495
Least squares fit to data. Return a series instance that is the least squares fit to the data y sampled at x. The domain of the returned instance can be specified and this will often result in a superior fit with less chance of ill conditioning. Parameters xarray_like, shape (M,) x-coordinates of the M sample p...
doc_29496
See Migration guide for more details. tf.compat.v1.raw_ops.ExperimentalDatasetToTFRecord tf.raw_ops.ExperimentalDatasetToTFRecord( input_dataset, filename, compression_type, name=None ) Args input_dataset A Tensor of type variant. A variant tensor representing the dataset to write. filename A Tens...
doc_29497
Group Series using a mapper or by a Series of columns. A groupby operation involves some combination of splitting the object, applying a function, and combining the results. This can be used to group large amounts of data and compute operations on these groups. Parameters by:mapping, function, label, or list of l...
doc_29498
A list of formats used to attempt to convert a string to a valid datetime.datetime object, in addition to ISO 8601 formats.
doc_29499
Applies a 2D max pooling over an input signal composed of several input planes. See MaxPool2d for details.