1.12. Multiclass and multioutput algorithms

1.12. Multiclass and multioutput algorithms# This section of the user guide covers functionality related to multi-learning problems, including multiclass, multilabel, and multioutput classification and regression. The modules in this section implement meta-estimators, which require a base estimator to be provided in their constructor. Meta-estimators extend the functionality of the base estimator

[DummyWitty]

“multilabel”

[chezou]

sklearnの分類器全部多クラス分類できるから、ってしれっと書いてあってそういう時代化って気持ちになりました

[somemo]

“Warning All classifiers in scikit-learn do multiclass classification out-of-the-box. You don’t need to use the sklearn.multiclass module unless you want to experiment with different multiclass strategies.”