Add ground work for TensorFlow models, add protections from common mistakes

freqtrade/freqai/prediction_models/BaseRegressionModel.py

@@ -12,9 +12,9 @@ logger = logging.getLogger(__name__)
 
 class BaseRegressionModel(IFreqaiModel):
     """
-    User created prediction model. The class needs to override three necessary
-    functions, predict(), train(), fit(). The class inherits ModelHandler which
-    has its own DataHandler where data is held, saved, loaded, and managed.
+    Base class for regression type models (e.g. Catboost, LightGBM, XGboost etc.).
+    User *must* inherit from this class and set fit() and predict(). See example scripts
+    such as prediction_models/CatboostPredictionModel.py for guidance.
     """
 
     def return_values(self, dataframe: DataFrame, dk: FreqaiDataKitchen) -> DataFrame: