Upload speeddating.py

speeddating.py

@@ -102,54 +102,54 @@ features_types_per_config = {
         "dater_race": datasets.Value("string"),
         "dated_race": datasets.Value("string"),
         "are_same_race": datasets.Value("int8"),
-        "same_race_importance_for_dater": datasets.Value("float16"),
-        "same_religion_importance_for_dater": datasets.Value("float16"),
-        "attractiveness_importance_for_dated": datasets.Value("float16"),
-        "sincerity_importance_for_dated": datasets.Value("float16"),
-        "intelligence_importance_for_dated": datasets.Value("float16"),
-        "humor_importance_for_dated": datasets.Value("float16"),
-        "ambition_importance_for_dated": datasets.Value("float16"),
-        "shared_interests_importance_for_dated": datasets.Value("float16"),
-        "attractiveness_score_of_dater_from_dated": datasets.Value("float16"),
-        "sincerity_score_of_dater_from_dated": datasets.Value("float16"),
-        "intelligence_score_of_dater_from_dated": datasets.Value("float16"),
-        "humor_score_of_dater_from_dated": datasets.Value("float16"),
-        "ambition_score_of_dater_from_dated": datasets.Value("float16"),
-        "shared_interests_score_of_dater_from_dated": datasets.Value("float16"),
-        "attractiveness_importance_for_dater": datasets.Value("float16"),
-        "sincerity_importance_for_dater": datasets.Value("float16"),
-        "intelligence_importance_for_dater": datasets.Value("float16"),
-        "humor_importance_for_dater": datasets.Value("float16"),
-        "ambition_importance_for_dater": datasets.Value("float16"),
-        "shared_interests_importance_for_dater": datasets.Value("float16"),
-        "self_reported_attractiveness_of_dater": datasets.Value("float16"),
-        "self_reported_sincerity_of_dater": datasets.Value("float16"),
-        "self_reported_intelligence_of_dater": datasets.Value("float16"),
-        "self_reported_humor_of_dater": datasets.Value("float16"),
-        "self_reported_ambition_of_dater": datasets.Value("float16"),
-        "reported_attractiveness_of_dated_from_dater": datasets.Value("float16"),
-        "reported_sincerity_of_dated_from_dater": datasets.Value("float16"),
-        "reported_intelligence_of_dated_from_dater": datasets.Value("float16"),
-        "reported_humor_of_dated_from_dater": datasets.Value("float16"),
-        "reported_ambition_of_dated_from_dater": datasets.Value("float16"),
-        "reported_shared_interests_of_dated_from_dater": datasets.Value("float16"),
-        "dater_interest_in_sports": datasets.Value("float16"),
-        "dater_interest_in_tvsports": datasets.Value("float16"),
-        "dater_interest_in_exercise": datasets.Value("float16"),
-        "dater_interest_in_dining": datasets.Value("float16"),
-        "dater_interest_in_museums": datasets.Value("float16"),
-        "dater_interest_in_art": datasets.Value("float16"),
-        "dater_interest_in_hiking": datasets.Value("float16"),
-        "dater_interest_in_gaming": datasets.Value("float16"),
-        "dater_interest_in_clubbing": datasets.Value("float16"),
-        "dater_interest_in_reading": datasets.Value("float16"),
-        "dater_interest_in_tv": datasets.Value("float16"),
-        "dater_interest_in_theater": datasets.Value("float16"),
-        "dater_interest_in_movies": datasets.Value("float16"),
-        "dater_interest_in_concerts": datasets.Value("float16"),
-        "dater_interest_in_music": datasets.Value("float16"),
-        "dater_interest_in_shopping": datasets.Value("float16"),
-        "dater_interest_in_yoga": datasets.Value("float16"),
+        "same_race_importance_for_dater": datasets.Value("float64"),
+        "same_religion_importance_for_dater": datasets.Value("float64"),
+        "attractiveness_importance_for_dated": datasets.Value("float64"),
+        "sincerity_importance_for_dated": datasets.Value("float64"),
+        "intelligence_importance_for_dated": datasets.Value("float64"),
+        "humor_importance_for_dated": datasets.Value("float64"),
+        "ambition_importance_for_dated": datasets.Value("float64"),
+        "shared_interests_importance_for_dated": datasets.Value("float64"),
+        "attractiveness_score_of_dater_from_dated": datasets.Value("float64"),
+        "sincerity_score_of_dater_from_dated": datasets.Value("float64"),
+        "intelligence_score_of_dater_from_dated": datasets.Value("float64"),
+        "humor_score_of_dater_from_dated": datasets.Value("float64"),
+        "ambition_score_of_dater_from_dated": datasets.Value("float64"),
+        "shared_interests_score_of_dater_from_dated": datasets.Value("float64"),
+        "attractiveness_importance_for_dater": datasets.Value("float64"),
+        "sincerity_importance_for_dater": datasets.Value("float64"),
+        "intelligence_importance_for_dater": datasets.Value("float64"),
+        "humor_importance_for_dater": datasets.Value("float64"),
+        "ambition_importance_for_dater": datasets.Value("float64"),
+        "shared_interests_importance_for_dater": datasets.Value("float64"),
+        "self_reported_attractiveness_of_dater": datasets.Value("float64"),
+        "self_reported_sincerity_of_dater": datasets.Value("float64"),
+        "self_reported_intelligence_of_dater": datasets.Value("float64"),
+        "self_reported_humor_of_dater": datasets.Value("float64"),
+        "self_reported_ambition_of_dater": datasets.Value("float64"),
+        "reported_attractiveness_of_dated_from_dater": datasets.Value("float64"),
+        "reported_sincerity_of_dated_from_dater": datasets.Value("float64"),
+        "reported_intelligence_of_dated_from_dater": datasets.Value("float64"),
+        "reported_humor_of_dated_from_dater": datasets.Value("float64"),
+        "reported_ambition_of_dated_from_dater": datasets.Value("float64"),
+        "reported_shared_interests_of_dated_from_dater": datasets.Value("float64"),
+        "dater_interest_in_sports": datasets.Value("float64"),
+        "dater_interest_in_tvsports": datasets.Value("float64"),
+        "dater_interest_in_exercise": datasets.Value("float64"),
+        "dater_interest_in_dining": datasets.Value("float64"),
+        "dater_interest_in_museums": datasets.Value("float64"),
+        "dater_interest_in_art": datasets.Value("float64"),
+        "dater_interest_in_hiking": datasets.Value("float64"),
+        "dater_interest_in_gaming": datasets.Value("float64"),
+        "dater_interest_in_clubbing": datasets.Value("float64"),
+        "dater_interest_in_reading": datasets.Value("float64"),
+        "dater_interest_in_tv": datasets.Value("float64"),
+        "dater_interest_in_theater": datasets.Value("float64"),
+        "dater_interest_in_movies": datasets.Value("float64"),
+        "dater_interest_in_concerts": datasets.Value("float64"),
+        "dater_interest_in_music": datasets.Value("float64"),
+        "dater_interest_in_shopping": datasets.Value("float64"),
+        "dater_interest_in_yoga": datasets.Value("float64"),
         "interests_correlation": datasets.Value("float64"),
         "expected_satisfaction_of_dater": datasets.Value("int8"),
         "expected_number_of_likes_of_dater_from_20_people": datasets.Value("int8"),