dabl.explain

dabl.explain(estimator, X_val=None, y_val=None, target_col=None, feature_names=None, n_top_features=10)

Explain estimator.

Provide basic properties and evaluation plots for the estimator.

Parameters:

estimatordabl or sklearn estimator

Model to evaluate.

X_valDataFrame, optional

Validation set. Used for computing hold-out evaluations like roc-curves, permutation importance or partial dependence plots.

y_valSeries or numpy array, optional.

Validation set labels. You need to specify either y_val or target_col.

target_colstring or int, optional

Column name of target if included in X.

n_top_featuresint, default=10

Number of features to show for coefficients or feature importances.