# preprocessing and creating the pipe
  pca_components = PCA()
  std_scaler = StandardScaler()
  preprocess = FeatureUnion([("std",std_scaler), ("pca", pca_components)])
  model = LogisticRegression()
  pipe = Pipeline([("preprocess", preprocess),
                 ("classifier", model)])