make box-cox strictly positive

Author: AnFreTh

mambular/preprocessing/preprocessor.py

@@ -466,6 +466,9 @@ def fit(self, X, y=None, embeddings=None):
                     )
 
                 elif self.numerical_preprocessing == "box-cox":
+                    numeric_transformer_steps.append(
+                        ("check_positive", MinMaxScaler(feature_range=(1e-3, 1)))
+                    )
                     numeric_transformer_steps.append(
                         (
                             "box-cox",
@@ -752,11 +755,12 @@ def get_feature_info(self, verbose=True):
                         "quantile",
                         "polynomial",
                         "splines",
+                        "box-cox",
                     ]
                 ):
                     last_step = transformer_pipeline.steps[-1][1]
                     if hasattr(last_step, "transform"):
-                        dummy_input = np.zeros((1, 1))
+                        dummy_input = np.zeros((1, 1)) + 1e-05
                         transformed_feature = last_step.transform(dummy_input)
                         dimension = transformed_feature.shape[1]
                     numerical_feature_info[feature_name] = {