labeled_for_feature_df = dl.load_labeled_for_feature() labeled_after_feature_x, labeled_after_feature_y = dl.get_xy( labeled_after_feature_df) labeled_for_feature_x, labeled_for_feature_y = dl.get_xy( labeled_for_feature_df) std_labeled_after_feature_x = dl.get_standard_scaler(labeled_after_feature_x) std_labeled_for_feature_x = dl.get_standard_scaler(labeled_for_feature_x) 195438 # labeled data load -> labeling clustering result -> save k = sys.argv[1] cluster = Clustering(4) category_after_df = cluster.kmeans(labeled_after_feature_x, labeled_after_feature_df, "labeled_after_feature") category_after_df = dl.ohe(category_after_df, ['cluster_category']) category_for_df = cluster.kmeans(labeled_for_feature_x, labeled_for_feature_df, "labeled_for_feature") category_for_df = dl.ohe(category_for_df, ['cluster_category']) category_std_after_df = cluster.kmeans(labeled_after_feature_x, labeled_after_feature_df, "std_labeled_after_feature") category_std_after_df = dl.ohe(category_std_after_df, ['cluster_category']) category_std_for_df = cluster.kmeans(labeled_for_feature_x, labeled_for_feature_df, "std_labeled_for_feature") category_std_for_df = dl.ohe(category_std_for_df, ['cluster_category']) category_after_df[category_after_df]