def _weights(label_id, scale=1.0): weights = feature_weights[:, label_id] return get_top_features_filtered(x, flt_feature_names, flt_indices, weights, top, scale)
def _weights(label_id, scale=1.0): coef = get_coef(clf, label_id) scores = _multiply(x, coef) return get_top_features_filtered(x, flt_feature_names, flt_indices, scores, top, scale)
def get_top_features(weights, scale=1.0): return get_top_features_filtered(x, flt_feature_names, flt_indices, weights, top, scale)