`skactiveml.utils`#

The skactiveml.utils module includes various utilities.

Classes#

`utils.ExtLabelEncoder`	Encode class labels with integers in [0, ..., n_classes-1] and use -1 for unlabeled.
`utils.TargetSpec`	Immutable description of resolved target semantics.

Functions#

`utils.rand_argmax`	Returns index of maximum value.
`utils.rand_argmin`	Returns index of minimum value.
`utils.compute_vote_vectors`	Counts number of votes per class label for each sample.
`utils.majority_vote`	Assigns a label to each sample based on weighted voting.
`utils.is_unlabeled`	Creates a boolean mask indicating missing labels.
`utils.is_labeled`	Creates a boolean mask indicating present labels.
`utils.check_classes`	Check whether class labels are uniformly strings or numbers.
`utils.check_missing_label`	Check whether a missing label is compatible to a given target type.
`utils.check_cost_matrix`	Check whether cost matrix has shape (n_classes, n_classes).
`utils.check_scalar`	Validate scalar parameters type and value.
`utils.check_classifier_params`	Check whether the general classifier are compatible with each other.
`utils.check_X_y`	Input validation for standard estimators.
`utils.check_random_state`	Check validity of the given random state.
`utils.call_func`	Calls a function with the given parameters given in kwargs, if they exist as parameters in f_callable.
`utils.match_signature`	A decorator that matches the signature to a given method from a reference and hides it when the reference object does not have the wrapped function.
`utils.check_class_prior`	Check if the class_prior is a valid prior.
`utils.ext_confusion_matrix`	Compute confusion matrix [R3479f72bc894-1] to evaluate the accuracy of a classification.
`utils.labeled_indices`	Return an array of indices indicating present labels.
`utils.unlabeled_indices`	Return an array of indices indicating missing labels.
`utils.check_type`	Check whether an object satisfies type, value, or indicator rules.
`utils.check_bound`	Validates bound and returns the bound of X if bound is None.
`utils.check_equal_missing_label`	Check whether two missing label values are equal to each other.
`utils.check_budget_manager`	Validate if budget_manager is a budget manager class and create a copy budget_manager_.
`utils.check_indices`	Check if indices fit to array.
`utils.simple_batch`	Generates a batch by selecting the highest values in the utilities.
`utils.check_n_features`	Validate and update the expected number of features of an estimator.
`utils._check_callable`	Check whether func is callable with the expected arity.
`utils._check_forward_outputs`	Validate the forward_outputs mapping used by SkorchMixin.
`utils._has_nested_classes`	Check whether classes contains one vocabulary per target label.
`utils.resolve_target_spec`	Resolve declared intent and target evidence to a target specification.
`utils.make_criterion_tuple_aware`	Create a loss class (or wrap an existing instance) that selects part of a model's (possibly tuple-valued) output before passing it to the criterion.