Utility functions

aeon has a number of modules dedicated to utilities:

• aeon.pipeline, which contains generics for pipeline construction.

• aeon.registry, which contains utilities for estimator and tag search.

• aeon.utils, which contains generic utility functions.

Pipeline construction

aeon.pipeline

Pipeline maker utility.

make_pipeline(*steps)	Create a pipeline from aeon and sklearn estimators.
sklearn_to_aeon(estimator)	Coerces an sklearn estimator to the aeon pipeline interface.

Estimator Search and Retrieval, Estimator Tags

aeon.registry

Implements registry for aeon estimator base classes and tags.

all_estimators([estimator_types, ...])	Get a list of all estimators from aeon.
all_tags([estimator_types, as_dataframe])	Get a list of all tags from aeon.
check_tag_is_valid(tag_name, tag_value)	Check validity of a tag value.

Estimator Validity Checking

aeon.testing.estimator_checks

Estimator checker for extension.

check_estimator(estimator[, ...])

Run all tests on one single estimator.

Data Validation Tools

aeon.utils

Validation and checking functions for time series.