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)