Feature importances in TabularNLPAutoML #129
Description
Hi, is it possible to get feature importances in TabularNLPAutoML for regular features (not textual), same as in TabularAutoML?
Currently automl.get_feature_scores("fast") is throwing an error
AttributeError Traceback (most recent call last)
<ipython-input-182-f726a358fe6b> in <module>
1 # Fast feature importances calculation
----> 2 fast_fi = pipe.base_estimator.get_feature_scores("fast")
3 fast_fi.set_index("Feature")["Importance"].plot.bar(figsize=(30, 10), grid=True)
C:\ProgramData\Anaconda3\lib\site-packages\lightautoml\automl\presets\tabular_presets.py in get_feature_scores(self, calc_method, data, features_names, silent)
577 ):
578 if calc_method == "fast":
--> 579 for level in self.levels:
580 for pipe in level:
581 fi = pipe.pre_selection.get_features_score()
AttributeError: 'TabularNLPAutoML' object has no attribute 'levels'