Download "higgs" [1] data set. Will return two pandas.DataFrame-s, first with train part and second with test part of the dataset. Object class will be located in the first column of dataset. [1]: https://archive.ics.uci.edu/ml/datasets/HIGGS
()
| 318 | |
| 319 | |
| 320 | def higgs(): |
| 321 | """ |
| 322 | Download "higgs" [1] data set. |
| 323 | |
| 324 | Will return two pandas.DataFrame-s, first with train part and second with |
| 325 | test part of the dataset. Object class will be located in the first |
| 326 | column of dataset. |
| 327 | |
| 328 | [1]: https://archive.ics.uci.edu/ml/datasets/HIGGS |
| 329 | """ |
| 330 | url = 'https://storage.mds.yandex.net/get-devtools-opensource/250854/higgs.tar.gz' |
| 331 | md5 = 'ad59ba8328a9afa3837d7bf1a0e10e7b' |
| 332 | dataset_name, train_file, test_file = 'higgs', 'train.tsv', 'test.tsv' |
| 333 | train_path, test_path = _download_dataset(url, md5, dataset_name, train_file, test_file, cache=True) |
| 334 | return ( |
| 335 | _load_numeric_only_dataset(train_path, 10500000, 29, sep='\t'), |
| 336 | _load_numeric_only_dataset(test_path, 500000, 29, sep='\t')) |
nothing calls this directly
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