Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://scikit-learn.org/stable/developers/../modules/generated/sklearn.utils.TargetTags.html below:

TargetTags — scikit-learn 1.7.0 documentation

class sklearn.utils.TargetTags(required: bool, one_d_labels: bool = False, two_d_labels: bool = False, positive_only: bool = False, multi_output: bool = False, single_output: bool = True)[source]#

Tags for the target data.

Parameters:

requiredbool

Whether the estimator requires y to be passed to fit, fit_predict or fit_transform methods. The tag is True for estimators inheriting from ~sklearn.base.RegressorMixin and ~sklearn.base.ClassifierMixin.

one_d_labelsbool, default=False

Whether the input is a 1D labels (y).

two_d_labelsbool, default=False

Whether the input is a 2D labels (y).

positive_onlybool, default=False

Whether the estimator requires a positive y (only applicable for regression).

multi_outputbool, default=False

Whether a regressor supports multi-target outputs or a classifier supports multi-class multi-output.

See multi-output in the glossary.

single_outputbool, default=True

Whether the target can be single-output. This can be False if the estimator supports only multi-output cases.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4