Marginal

class interpret.data.Marginal(feature_names=None, feature_types=None, max_scatter_samples=400)

Provides a marginal plot for provided data.

Initializes class.

Parameters:

• feature_names – List of feature names.

• feature_types – List of feature types.

• max_scatter_samples – Number of sample points in visualization.

explain_data(X, y, name=None)

Explains data as visualizations.

Parameters:

• X – Numpy array for X to explain.

• y – Numpy vector for y to explain.

• name – User-defined explanation name.

Returns:

An explanation object.