Merge pull request #62 from Techtonique/v0250-patch

fix DeepMTS Pt.2
Techtonique · Oct 4, 2024 · 268b5e1 · 268b5e1
2 parents 641f06d + a2594cd
commit 268b5e1
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Showing 7 changed files with 2 additions and 144 deletions.
diff --git a/nnetsauce.egg-info/PKG-INFO b/nnetsauce.egg-info/PKG-INFO
diff --git a/nnetsauce.egg-info/SOURCES.txt b/nnetsauce.egg-info/SOURCES.txt
diff --git a/nnetsauce.egg-info/dependency_links.txt b/nnetsauce.egg-info/dependency_links.txt
diff --git a/nnetsauce.egg-info/requires.txt b/nnetsauce.egg-info/requires.txt
diff --git a/nnetsauce.egg-info/top_level.txt b/nnetsauce.egg-info/top_level.txt
diff --git a/nnetsauce/lazypredict/lazydeepMTS.py b/nnetsauce/lazypredict/lazydeepMTS.py
@@ -375,11 +375,9 @@ def fit(self, X_train, X_test, xreg=None, per_series=False, **kwargs):
                         custom_metric = self.custom_metric(X_test, X_pred)
                     else:
                         custom_metric = self.custom_metric(X_test_h, X_pred)
-                    print(f"\n\n Custom metric: {custom_metric} \n\n")                            
                     CUSTOM_METRIC.append(custom_metric)
                 except Exception as e:
                     custom_metric = np.iinfo(np.float32).max
-                    print(f"\n\n Custom metric: {custom_metric} \n\n")
                     CUSTOM_METRIC.append(np.iinfo(np.float32).max)
 
             if (self.replications is not None) or (self.type_pi == "gaussian"):
@@ -590,11 +588,9 @@ def fit(self, X_train, X_test, xreg=None, per_series=False, **kwargs):
                     if self.custom_metric is not None:                        
                         try: 
                             custom_metric = self.custom_metric(X_test, X_pred)
-                            print(f"\n\n Custom metric: {custom_metric} \n\n")
                             CUSTOM_METRIC.append(custom_metric)
                         except Exception as e:
                             custom_metric = np.iinfo(np.float32).max
-                            print(f"\n\n Custom metric: {custom_metric} \n\n")
                             CUSTOM_METRIC.append(custom_metric)
 
                     if self.verbose > 0:
@@ -961,11 +957,9 @@ def fit(self, X_train, X_test, xreg=None, per_series=False, **kwargs):
                                 custom_metric = self.custom_metric(X_test, X_pred)
                             else:
                                 custom_metric = self.custom_metric(X_test_h, X_pred)
-                            print(f"\n\n Custom metric: {custom_metric} \n\n")                            
                             CUSTOM_METRIC.append(custom_metric)
                         except Exception as e:
                             custom_metric = np.iinfo(np.float32).max
-                            print(f"\n\n Custom metric: {custom_metric} \n\n")
                             CUSTOM_METRIC.append(np.iinfo(np.float32).max)
 
                     if self.verbose > 0:
@@ -992,9 +986,7 @@ def fit(self, X_train, X_test, xreg=None, per_series=False, **kwargs):
 
                         if self.custom_metric is not None:
                             scores_verbose["Custom metric"] = custom_metric                            
-
-                        print(scores_verbose)
-
+
                     if self.predictions:
                         predictions[name] = X_pred
 
@@ -1025,12 +1017,6 @@ def fit(self, X_train, X_test, xreg=None, per_series=False, **kwargs):
         if self.custom_metric is not None:
             scores["Custom metric"] = CUSTOM_METRIC
 
-        print(f"\n\n Scores: {scores} \n\n")
-        for key, value in scores.items():
-            print(f"\n\n Key: {key} \n\n")
-            print(f"\n\n Value: {value} \n\n")
-            print(f"\n\n len(Value): {len(value)} \n\n")
-
         if per_series:
             scores = dict_to_dataframe_series(scores, self.series_names)
         else:

diff --git a/setup.py b/setup.py
@@ -3,7 +3,7 @@
 from codecs import open
 from os import path
 
-__version__ = '0.25.2'
+__version__ = '0.25.3'
 
 # get the dependencies and installs
 here = path.abspath(path.dirname(__file__))