| { | |
| "name": "tabsyn_m4", | |
| "task_type": "regression", | |
| "n_num_features": 3, | |
| "n_cat_features": 3, | |
| "train_size": 2217, | |
| "num_col_idx": [ | |
| 0, | |
| 2, | |
| 3 | |
| ], | |
| "cat_col_idx": [ | |
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| 4, | |
| 5 | |
| ], | |
| "target_col_idx": [ | |
| 6 | |
| ], | |
| "column_names": [ | |
| "age", | |
| "sex", | |
| "bmi", | |
| "children", | |
| "smoker", | |
| "region", | |
| "charges" | |
| ], | |
| "train_num": 2217, | |
| "test_num": 2217, | |
| "header": 0, | |
| "file_type": "csv", | |
| "data_path": "data/tabsyn_m4/train.csv", | |
| "test_path": null, | |
| "idx_mapping": { | |
| "0": 0, | |
| "1": 3, | |
| "2": 1, | |
| "3": 2, | |
| "4": 4, | |
| "5": 5, | |
| "6": 6 | |
| }, | |
| "inverse_idx_mapping": { | |
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| "3": 1, | |
| "1": 2, | |
| "2": 3, | |
| "4": 4, | |
| "5": 5, | |
| "6": 6 | |
| }, | |
| "idx_name_mapping": { | |
| "0": "age", | |
| "1": "sex", | |
| "2": "bmi", | |
| "3": "children", | |
| "4": "smoker", | |
| "5": "region", | |
| "6": "charges" | |
| }, | |
| "metadata": { | |
| "columns": { | |
| "0": { | |
| "sdtype": "numerical", | |
| "computer_representation": "Float" | |
| }, | |
| "2": { | |
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| "computer_representation": "Float" | |
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| "3": { | |
| "sdtype": "numerical", | |
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| "4": { | |
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| "sdtype": "categorical" | |
| }, | |
| "6": { | |
| "sdtype": "numerical", | |
| "computer_representation": "Float" | |
| } | |
| } | |
| } | |
| } |