API Reference

This is the class and function reference of scikit-lr. Please, refer to the full user guide for further details, as the class and function raw specifications may not be enough to give full guidelines on their uses. For reference on concepts repeated across the API, see the glossary.

sklr.base: Base classes and utility functions

Base classes for all estimators.

Base classes

base.LabelRankerMixin	Mixin class for all label rankers in scikit-lr.
base.PartialLabelRankerMixin	Mixin class for all partial label rankers in scikit-lr.
base.TransformerMixin

Functions

base.is_label_ranker(estimator)	Return True if the given estimator is a label ranker.
base.is_partial_label_ranker(estimator)	Return True if the given estimator is a partial label ranker.

sklr.datasets: Datasets

User guide: See the Dataset loading utilities section for further details.

Loaders

datasets.load_authorship
datasets.load_blocks
datasets.load_bodyfat
datasets.load_breast
datasets.load_calhousing
datasets.load_cold
datasets.load_cpu
datasets.load_diau
datasets.load_dtt
datasets.load_ecoli
datasets.load_elevators
datasets.load_fried
datasets.load_glass
datasets.load_heat
datasets.load_housing
datasets.load_iris
datasets.load_letter
datasets.load_libras
datasets.load_pendigits
datasets.load_satimage
datasets.load_segment
datasets.load_spo
datasets.load_stock
datasets.load_vehicle
datasets.load_vowel
datasets.load_wine
datasets.load_wisconsin
datasets.load_yeast