Searched refs:cat_feature2cats (Results 1 – 3 of 3) sorted by relevance
/aosp_15_r20/external/pytorch/torchgen/_autoheuristic/ |
H A D | train.py | 107 def add_real_datasets(self, datasets, other_datasets, cat_feature2cats): argument 111 path, cat_feature2cats=cat_feature2cats, apply_filters=False 116 self, cat_feature2cats, categorical_features, results argument 121 if not cat_feature2cats: 122 cat_feature2cats = {} 124 if cat_feature in cat_feature2cats: 125 categories = cat_feature2cats[cat_feature] 128 cat_feature2cats[cat_feature] = categories 140 return (results, cat_feature2cats, dummy_col_2_col_val)
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H A D | train_decision.py | 250 def prepare_datasets(self, df, other_datasets, cat_feature2cats, ranking=False): argument 267 self.add_real_datasets(datasets, other_datasets, cat_feature2cats, ranking) 312 (df, choices, cat_feature2cats, dummy_col_2_col_val, metadata) = self.get_df( 316 datasets = self.prepare_datasets(df, other_datasets, cat_feature2cats, ranking) 383 cat_feature2cats=None, argument 500 cat_feature2cats, 503 cat_feature2cats, categorical_features, results 505 return (results, choices, cat_feature2cats, dummy_col_2_col_val, metadata) 584 self, datasets, other_datasets, cat_feature2cats, ranking=False argument 593 cat_feature2cats=cat_feature2cats,
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H A D | train_regression.py | 49 (df, choices, cat_feature2cats, dummy_col_2_col_val, metadata) = self.get_df( 54 self.add_real_datasets(datasets, other_datasets, cat_feature2cats) 85 def get_df(self, log_path, cat_feature2cats=None, nrows=None, apply_filters=False): argument 164 cat_feature2cats, 167 cat_feature2cats, categorical_features, results 169 return (results, choices, cat_feature2cats, dummy_col_2_col_val, metadata)
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