remove prints

Author: Rima Hajou

qolmat/benchmark/utils.py

@@ -227,7 +227,6 @@ def kl_divergence(
             p = np.histogram(df1[col], bins=bins, density=True)[0]
             q = np.histogram(df2[col], bins=bins, density=True)[0]
             list_kl.append(scipy.stats.entropy(p + EPS, q + EPS))
-        print(list_kl)
         return pd.Series(list_kl, index=cols)
     else:
         df_1 = StandardScaler().fit_transform(df1)

qolmat/imputations/models.py

@@ -539,7 +539,6 @@ def fit_transform(self, df: pd.DataFrame) -> pd.DataFrame:
             imputed = pd.DataFrame()
             cols_with_nans = df.columns[df.isna().any()]
             for col in cols_with_nans:
-                print(col)
                 imputed_signal, _, _ = self.rpca.fit_transform(signal=df[col].values)
                 imputed[col] = imputed_signal
         imputed.index = df.index