def _weights(label_id):
coef = get_coef(clf, label_id)
_x = x
scores = _multiply(_x, coef)
if flt_indices is not None:
scores = scores[flt_indices]
_x = mask(_x, flt_indices)
return get_top_features(feature_names, scores, top, _x)
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 _features(label_id):
coef = get_coef(clf, label_id, scale=coef_scale)
if flt_indices is not None:
coef = coef[flt_indices]
return get_top_features(feature_names, coef, top)
def _features(target_id):
coef = get_coef(reg, target_id, scale=coef_scale)
if flt_indices is not None:
coef = coef[flt_indices]
return get_top_features(feature_names, coef, top)
def _weights(label_id):
coef = get_coef(reg, label_id)
scores = _multiply(x, coef)
return get_top_features(feature_names, scores, top)
