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

freqtrade/resolvers/freqaimodel_resolver.py

@@ -24,8 +24,9 @@ class FreqaiModelResolver(IResolver):
     object_type = IFreqaiModel
     object_type_str = "FreqaiModel"
     user_subdir = USERPATH_FREQAIMODELS
-    initial_search_path = Path(__file__).parent.parent.joinpath(
-                                                       "freqai/prediction_models").resolve()
+    initial_search_path = (
+        Path(__file__).parent.parent.joinpath("freqai/prediction_models").resolve()
+    )
 
     @staticmethod
     def load_freqaimodel(config: Dict) -> IFreqaiModel:
@@ -33,6 +34,7 @@ class FreqaiModelResolver(IResolver):
         Load the custom class from config parameter
         :param config: configuration dictionary
         """
+        disallowed_models = ["BaseRegressionModel", "BaseTensorFlowModel"]
 
         freqaimodel_name = config.get("freqaimodel")
         if not freqaimodel_name:
@@ -40,6 +42,11 @@ class FreqaiModelResolver(IResolver):
                 "No freqaimodel set. Please use `--freqaimodel` to "
                 "specify the FreqaiModel class to use.\n"
             )
+        if freqaimodel_name in disallowed_models:
+            raise OperationalException(
+                f"{freqaimodel_name} is a baseclass and cannot be used directly. User must choose "
+                "an existing child class or inherit from this baseclass.\n"
+            )
         freqaimodel = FreqaiModelResolver.load_object(
             freqaimodel_name,
             config,