fix list bug

mlair/model_modules/convolutional_networks.py

@@ -75,7 +75,7 @@ class CNNfromConfig(AbstractModelClass):
         # apply to model
         self.set_model()
         self.set_compile_options()
-        self.set_custom_objects(loss=custom_loss([keras.losses.mean_squared_error, var_loss]), var_loss=var_loss)
+        self.set_custom_objects(loss=self.compile_options["loss"][0], var_loss=var_loss)
 
     def set_model(self):
         x_input = keras.layers.Input(shape=self._input_shape)

mlair/run_modules/model_setup.py

@@ -224,10 +224,13 @@ class ModelSetup(RunEnvironment):
             if v is None:
                 continue
             if isinstance(v, list):
+                if len(v) > 0:
                     if isinstance(v[0], dict):
                         v = ["{" + vi + "}" for vi in [",".join(f"{_f(str(uk))}:{_f(str(uv))}" for uk, uv in d.items()) for d in v]]
                     else:
                         v = ",".join(_f(str(u)) for u in v)
+                else:
+                    v = "[]"
             if "<" in str(v):
                 v = _f(str(v))
             df.loc[k] = str(v)