fix: do not launch composition for atomized model

fedot/api/api_utils/predefined_model.py

@@ -31,7 +31,9 @@ def _get_pipeline(self, use_input_preprocessing: bool = True) -> Pipeline:
         else:
             raise ValueError(f'{type(self.predefined_model)} is not supported as Fedot model')
 
-        verify_pipeline(pipelines, task_type=self.data.task.task_type, raise_on_failure=True)
+        # ISSUE #1317 Quick Fix: Skip pipeline verification for Atomized Model
+        if "atomized" not in pipelines.descriptive_id:
+            verify_pipeline(pipelines, task_type=self.data.task.task_type, raise_on_failure=True)
 
         return pipelines
 

fedot/api/main.py

@@ -166,6 +166,11 @@ def fit(self,
             with fedot_composer_timer.launch_preprocessing():
                 self.train_data = self.data_processor.fit_transform(self.train_data)
 
+        # ISSUE #1317 Quick Fix: Do not launch composition for Atomized Model
+        if init_asm := self.params.data.get('initial_assumption'):
+            if predefined_model is None and "atomized" in init_asm.descriptive_id:
+                predefined_model = init_asm
+
         with fedot_composer_timer.launch_fitting():
             if predefined_model is not None:
                 # Fit predefined model and return it without composing