Explain¶

Sensitivity analysis¶

Perform sensitivity analysis to identify feature relevances

Descriptors-based¶

`sensitivity_analysis`(model, dataset[, std, ...])	Perform a sensitivity analysis using the partial derivatives method.
`plot_sensitivity`(results[, mode, per_class, ...])	Plot results of the sensitivity analysis.

Graph-based¶

graph_node_sensitivity(model, dataset[, ...])

Performs a sensitivity analysis on a GNN-based CV model using partial derivatives w.r.t.

Sparse linear models¶

Use sparse models to approximate classification/regression tasks

`lasso_classification`(dataset[, ...])	Perform sparse classification via LASSO on a given DictDataset (requires keys: "data" and "labels").
`lasso_regression`(dataset[, alphas, ...])	Perform sparse regression via LASSO on a given DictDataset (requires keys: "data" and "target").
`plot_lasso_classification`(classifier[, ...])	Plot results of the LASSO classification.
`plot_lasso_regression`(regressor[, feats, ...])	Plot the results of the LASSO regression.