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Commit 1ecfa7cf authored by Tizian Wenzel's avatar Tizian Wenzel
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Update on the download_data.py file to fix broken imports.

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......@@ -401,13 +401,13 @@ def import_all():
proc = PandasTaskPreprocessor(min_n_samples=30000, max_tvp_samples=200000, max_test_samples=300000,
max_one_hot_columns=300)
proc.apply(PandasTask.from_uci('https://archive.ics.uci.edu/ml/machine-learning-databases/00440/sgemm_product_dataset.zip',
ds_name='sgemm', zip_name='sgemm_product_dataset.zip', csv_name='sgemm_product.csv',
proc.apply(PandasTask.from_uci('https://archive.ics.uci.edu/static/public/440/sgemm+gpu+kernel+performance.zip',
ds_name='sgemm', zip_name='sgemm+gpu+kernel+performance.zip', csv_name='sgemm_product.csv',
target_col_idxs=[14, 15, 16, 17], use_log_target=True))
proc.apply(PandasTask.from_uci('https://archive.ics.uci.edu/ml/machine-learning-databases/00206/slice_localization_data.zip',
ds_name='ct', zip_name='slice_localization_data.zip', csv_name='slice_localization_data.csv',
proc.apply(PandasTask.from_uci('https://archive.ics.uci.edu/static/public/206/relative+location+of+ct+slices+on+axial+axis.zip',
ds_name='ct', zip_name='relative+location+of+ct+slices+on+axial+axis.zip', csv_name='slice_localization_data.csv',
target_col_idxs=[385], ignore_col_idxs=[0]))
proc.apply(PandasTask.from_uci('https://archive.ics.uci.edu/ml/machine-learning-databases/00221/Reaction%20Network%20(Undirected).data',
proc.apply(PandasTask.from_uci('https://data.world/uci/kegg-metabolic-reaction-network-undirected',
ds_name='kegg_undir_uci', zip_name='kegg_undir_uci.csv', csv_name='kegg_undir_uci.csv',
target_col_idxs=[26], ignore_col_idxs=[0], has_header=False, continuous_nan_columns=[4]))
# only use the Sydney part of the data set (could as well have used Adelaide, Perth or Tasmania)
......
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