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}
