NHL_Feature_Generation1.py

# create feature encodings for the event and description fields
es = ft.EntitySet(id="plays")
es = es.entity_from_dataframe(entity_id="plays", dataframe=plays_df, index="play_id",
           variable_types = { "event": ft.variable_types.Categorical, 
                             "description": ft.variable_types.Categorical })       
         
f1 = Feature(es["plays"]["event"])
f2 = Feature(es["plays"]["description"])

encoded, _= ft.encode_features(plays_df, [f1, f2], top_n=10)
encoded.reset_index(inplace=True)

# create an entry set of the encoded play data and games
es = ft.EntitySet(id="plays")
es = es.entity_from_dataframe(entity_id="plays", dataframe=encoded, index="play_id")
es = es.normalize_entity(base_entity_id="plays",new_entity_id="games", index="game_id")