skada.source_target_split

skada.source_target_split(*arrays, sample_domain)

Split data into source and target domains

Parameters:

*arrayssequence of array-like of identical shape (n_samples, n_features)

Input features and target variable(s), and or sample_weights to be split. All arrays should have the same length except if None is given then a couple of None variables are returned to allow for optional sample_weight.

sample_domainarray-like of shape (n_samples,)

Array specifying the domain labels for each sample.

Returns:

splitslist, length=2 * len(arrays)

List containing source-target split of inputs.

Examples using skada.source_target_split

Plot dataset source domain and shifted target domain

Plot dataset source domain and shifted target domain

Plot dataset source domain and shifted target domain

Plot dataset source domain and shifted target domain

Plot dataset source domain and shifted target domain

Plot dataset source domain and shifted target domain

Plot dataset source domain and shifted target domain

Plot dataset source domain and shifted target domain

DASVM classifier example

DASVM classifier example

JDOT Regressor and Classifier examples

JDOT Regressor and Classifier examples

Label Propagation methods

Label Propagation methods

Multi-domain Linear Monge Alignment

Multi-domain Linear Monge Alignment

Optimal Transport Domain Adaptation (OTDA)

Optimal Transport Domain Adaptation (OTDA)

Reweighting method example on covariate shift dataset

Reweighting method example on covariate shift dataset

Subspace method example on subspace shift dataset

Subspace method example on subspace shift dataset

How to use SKADA

How to use SKADA

Using cross_val_score with skada

Using cross_val_score with skada