encode formulas

alphamind/api.py

@@ -37,6 +37,7 @@ from alphamind.model import XGBTrainer
 from alphamind.model import load_model
 from alphamind.model.data_preparing import fetch_data_package
 from alphamind.model.data_preparing import fetch_train_phase
+from alphamind.model.data_preparing import fetch_predict_phase
 
 from alphamind.execution.naiveexecutor import NaiveExecutor
 from alphamind.execution.thresholdexecutor import ThresholdExecutor
@@ -67,6 +68,7 @@ __all__ = [
     'factor_tables',
     'fetch_data_package',
     'fetch_train_phase',
+    'fetch_predict_phase',
     'LinearRegression',
     'LassoRegression',
     'ConstLinearModel',

alphamind/model/modelbase.py

@@ -55,7 +55,7 @@ class ModelBase(metaclass=abc.ABCMeta):
     def load(cls, model_desc: dict):
         obj_layout = cls()
         obj_layout.features = model_desc['features']
-        obj_layout.formulas = model_desc['formulas']
+        obj_layout.formulas = decode(model_desc['formulas'])
         obj_layout.trained_time = model_desc['trained_time']
         obj_layout.impl = decode(model_desc['desc'])
         return obj_layout