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#Run through pipeline steps
X_train, X_test, y_train, y_test = MLpipeline.train_test_partition(df_train_cv, ts_thr)
X_aux = X_train
for s in pipe["pipe"].values[0].steps:
if s[0] != "logReg":
print s[0], s[1]
X_aux = s[1].fit_transform(X_aux)
print X_aux.shape