058c79c9653af78184deb94aa3853f8a37eec32a,pyinterpret/core/global_interpretation/partial_dependence.py,PartialDependence,partial_dependence,#PartialDependence#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,10

Before Change

        X_mutable = X.copy()

        means = np.zeros([grid_resolution for i in range(n_features)])
        sds = np.zeros([grid_resolution for i in range(n_features)])

        for i in range(grid_expanded.shape[0]):
            new_row = grid_expanded[i]
            row_id = id_grid_expanded[i]

After Change

            pdp = {}
            new_row = grid_expanded[i]
            row_id = id_grid_expanded[i]
            row_id = tuple(row_id.tolist())
            for feature_idx, feature_id in enumerate(feature_ids):
                X_mutable[feature_id] = new_row[feature_idx]

            predictions = predict_fn(X_mutable.values)

Instances