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@shashankprasanna
Created February 12, 2020 00:07
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data = cudf.read_csv(data_dir+'HIGGS.csv', names=col_names, dtype=dtypes_ls)
X_train, X_test, y_train, y_test = train_test_split(data, 'label', train_size=0.70)
hyperparams={
'n_estimators' : args.n_estimators,
'max_depth' : args.max_depth,
'n_bins' : args.n_bins,
'split_criterion' : args.split_criterion,
'split_algo' : args.split_algo,
'bootstrap' : args.bootstrap,
'bootstrap_features' : args.bootstrap_features,
'max_leaves' : args.max_leaves,
'max_features' : args.max_features
}
cu_rf = cuRF(**hyperparams)
cu_rf.fit(X_train, y_train)
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