This is backend for ClickCat Machine Learning.

1. Install PIP requirements

   Python3.6+ is necessary.

   pip install -r requirements.txt
   

2. Running API

   python ts_api.py <port>
   

3. Endpoints

   /list (POST)

   {
       "conn_host":"192.168.3.243",
       "conn_database":"default",
       "conn_user":"default",
       "conn_password":"123456"
   }
   

   /train (POST)

   {
       "database":"default",
       "table":"hb_kako_vehicle_recognition",
       "time_field":"shotTime",
       "start_time":"2022-03-01 00:00:00",
       "end_time":"2022-04-01 00:00:00",
       "time_interval":"1 day",
       "job_name":"hb_kako_vehicle_recognition_predict",
       "conn_host":"192.168.3.243",
       "conn_database":"default",
       "conn_user":"default",
       "conn_password":"123456"
   }
   

   /delete (POST)

   {
       "job_id":"010defe2-a0d8-4acb-aa13-10d6e2cfbb87",
       "conn_host":"192.168.3.243",
       "conn_database":"default",
       "conn_user":"default",
       "conn_password":"123456",
       "model_path":"model/hb_kako_vehicle_recognition_predict_ts_model.pkl"
   }
   

   /back_testing (POST)

   {
       "database":"default",
       "table":"hb_kako_vehicle_recognition",
       "time_field":"shotTime",
       "start_time":"2022-03-01 00:00:00",
       "end_time":"2022-04-01 00:00:00",
       "time_interval":"1 day",
       "job_name":"hb_kako_vehicle_recognition_predict",
       "conn_host":"192.168.3.243",
       "conn_database":"default",
       "conn_user":"default",
       "conn_password":"123456",
       "model_path":"model/hb_kako_vehicle_recognition_predict_ts_model.pkl"
   }
   

   /predict (POST)

   {
       "model_path":"model/hb_kako_vehicle_recognition_predict_ts_model.pkl"
       "steps":"1",
   }