Merge pull request #7576 from freqtrade/bugfix-tensorboard

catboost tensorboard bugfix

freqtrade/freqai/data_kitchen.py

@@ -119,8 +119,6 @@ class FreqaiDataKitchen:
             / f"sub-train-{pair.split('/')[0]}_{trained_timestamp}"
         )
 
-        Path(self.data_path / 'tensorboard').mkdir(parents=True, exist_ok=True)
-
         return
 
     def make_train_test_datasets(

freqtrade/freqai/freqai_interface.py

@@ -201,10 +201,10 @@ class IFreqaiModel(ABC):
                 new_trained_timerange,
                 data_load_timerange,
             ) = dk.check_if_new_training_required(trained_timestamp)
-            dk.set_paths(pair, new_trained_timerange.stopts)
 
             if retrain:
                 self.train_timer('start')
+                dk.set_paths(pair, new_trained_timerange.stopts)
                 try:
                     self.extract_data_and_train_model(
                         new_trained_timerange, pair, strategy, dk, data_load_timerange

freqtrade/freqai/prediction_models/CatboostClassifier.py

@@ -34,7 +34,7 @@ class CatboostClassifier(BaseClassifierModel):
         cbr = CatBoostClassifier(
             allow_writing_files=True,
             loss_function='MultiClass',
-            train_dir=Path(dk.data_path / 'tensorboard'),
+            train_dir=Path(dk.data_path),
             **self.model_training_parameters,
         )
 

freqtrade/freqai/prediction_models/CatboostRegressor.py

@@ -43,7 +43,7 @@ class CatboostRegressor(BaseRegressionModel):
 
         model = CatBoostRegressor(
             allow_writing_files=True,
-            train_dir=Path(dk.data_path / 'tensorboard'),
+            train_dir=Path(dk.data_path),
             **self.model_training_parameters,
         )
 

freqtrade/freqai/prediction_models/CatboostRegressorMultiTarget.py

@@ -28,7 +28,7 @@ class CatboostRegressorMultiTarget(BaseRegressionModel):
 
         cbr = CatBoostRegressor(
             allow_writing_files=True,
-            train_dir=Path(dk.data_path / 'tensorboard'),
+            train_dir=Path(dk.data_path),
             **self.model_training_parameters,
         )