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This is "R to Py" Repo

Driving_score_estimation_project (18. 12. 26 ~)

Table of Contents

Information about these files

.json files
  • test.json
    • from csv file
.csv files
  • driving_score_180ea.csv
    • Search by google images, 182ea
  • driving_score_new.csv
    • Search by google images, 12ea
  • Tmap_data.csv
    • Data given by Professor, 15ea
.py files
  • DSI.py
    • Safety Index model ( = Linear model )
      • Input data : .csv file ( compliance, acceleration, deceleration, result )
      • Output : RSME ( Root Square Mean Error )
  • DSI_json.py
    • Safety Index model ( = Linear model )
      • Input data : .json file ( header: { number: }, data: { compliance: , acceleration: , deceleration: , result: } )
      • Output : RSME ( Root Square Mean Error )
  • DSI_sql.py
    • Safety Index model ( = Linear model )
      • Input data : connection with mysql db
      • Output : RSME ( Root Square Mean Error )
  • RF.py
    • Random Forest model
      • Input data : .csv file ( compliance, acceleration, deceleration, result )
      • Output : RSME ( Root Square Mean Error )
  • RF_json.py
    • Random Forest model
      • Input data : .json file ( header: { number: }, data: { compliance: , acceleration: , deceleration: , result: } )
      • Output : RSME ( Root Square Mean Error )
  • RF_sql.py
    • Random Forest model
      • Input data : connection with mysql db
      • Output : RSME ( Root Square Mean Error )
  • SVM.py
    • Support Vector Machine
      • Input data : .csv file ( compliance, acceleration, deceleration, result )
      • Output : RSME ( Root Square Mean Error )
  • SVM_json.py
    • Support Vector Machine
      • Input data : .json file ( header: { number: }, data: { compliance: , acceleration: , deceleration: , result: } )
      • Output : RSME ( Root Square Mean Error )
  • SVM_sql.py
    • Support Vector Machine
      • Input data : connection with mysql db
      • Output : RSME ( Root Square Mean Error )
  • toJson.py
    • Make .json file from csv file(or user data)
      • Input data : .csv file ( compliance, acceleration, deceleration, result )
      • Output : .json file ( data, # of data )
  • pymyquery.py
    • Connecting mysql and python Testing code
      • Input data : connection with mysql db
      • Output : db data