INNER CODE UNIT · Python
RMSR
SalvatoreRa/tutorial · machine learning/scripts/MNAR.py:169
RMSR = metrics.root_mean_squared_error(pd.DataFrame(np.array(df.iloc[:, :-1])[train_index]),
pd.DataFrame(X_train_imp), pd.DataFrame(df_mask))
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))