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)
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# 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]
