ivan-mitb
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| # load READY.DAT (56 cols) | |
| from dataload import load_object | |
| x_train, x_test, y_train, y_test = load_object('ready.dat') | |
| x_train.max(axis=0) | |
| del x_test, y_test # we don't need the test set for now | |
| # under-sample the big classes to make the set manageable | |
| from imblearn.under_sampling import RandomUnderSampler | |
| rus = RandomUnderSampler(ratio={'normal':50000, 'dos':50000}, random_state=4129) | |
| x_train, y_train = rus.fit_sample(x_train, y_train.attack_type) |