def load_model_predict(self): ''' This method validates the supplied parameters, before generating a prediction, using a chosen stored model from the NoSQL cache. ''' # instantiate class session = Model_Predict(self.data) # implement class methods if not session.validate_arg_none(): session.validate_premodel_settings() session.check() my_prediction = session.predict() if my_prediction['error']: response = { 'status': 1, 'result': my_prediction['error'], 'type': 'model-predict' } else: response = { 'status': 0, 'result': my_prediction, 'type': 'model-predict' } return json.dumps(response)
def load_model_predict(self): # instantiate class session = Model_Predict(self.data) # implement class methods if not session.validate_arg_none(): session.validate_svm_settings() session.check() my_prediction = session.svm_prediction() if my_prediction['error']: return {'result': None, 'error': my_prediction['error']} else: return {'result': my_prediction, 'error': None}
def load_model_predict(self): '''@load_model_predict This method validates the supplied parameters, before generating a prediction, using a chosen stored model from the NoSQL cache. ''' # instantiate class session = Model_Predict(self.data) # implement class methods if not session.validate_arg_none(): session.validate_premodel_settings() session.check() my_prediction = session.predict() if my_prediction['error']: return {'result': None, 'error': my_prediction['error']} else: return {'result': my_prediction, 'error': None}