INNER CODE UNIT · Python

RMSR

SalvatoreRa/tutorial · machine learning/scripts/MAR.py:170

            RMSR= np.sum(RMSR)
            print(RMSR)
            KL = metrics.kl_divergence(pd.DataFrame(np.array(df.iloc[:, :-1])[train_index]), 
                           pd.DataFrame(X_train_imp), pd.DataFrame(df_mask))
            KL= np.sum(KL)
            print(KL)
            E = metrics.sum_energy_distances(pd.DataFrame(np.array(df.iloc[:, :-1])[train_index]), 
                           pd.DataFrame(X_train_imp), pd.DataFrame(df_mask))
            E= np.sum(E)
            print(E)
            FR = metrics.frechet_distance(pd.DataFrame(np.array(df.iloc[:, :-1])[train_index]), 
                           pd.DataFrame(X_train_imp), pd.DataFrame(df_mask))
            FR= np.sum(FR)
            print(FR)
            WA = metrics.dist_wasserstein(pd.DataFrame(np.array(df.iloc[:, :-1])[train_index]), 
                           pd.DataFrame(X_train_imp), pd.DataFrame(df_mask))
            WA= np.sum(WA)
            print(WA)

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