That repository contains an API to send request our Random Forest Classification model.
FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use and to enable the development of high-performance APIs quickly.
FastAPI
BaseModel
pickle
pandas
sklearn
The pickle module is frequently used to package (serialize) and store machine learning models in Python.
import pickle
with open('random-forest.pkl', 'wb') as file:
pickle.dump(rfc, file)
python -m venv fastml
source fastml/bin/activate (mac) or .\fastml\Scripts\activate (windows)
pip install uvicorn gunicorn fastapi pydantic sklearn pandas
uvicorn random-classifier-api:app --reload
curl --location 'http://localhost:8000/' \
--header 'Content-Type: application/json' \
--data '{
"age":7,
"gender":0,
"number_of_siblings":4,
"weekly_tv_watch_hour": 3,
"weekly_play_pc_game_hour":4,
"life_pleasure":5,
"average_games_score":80,
"average_game_time_in_minute":15,
"activity_click_count":30,
"activity_view_count":65,
"activity_view_time_in_minute":20,
"Anne":false,
"Baba":true,
"Ilkokul":false,
"Lise":false,
"OkumaYazmaBilmiyor": true,
"Ortaokul": true,
"Universite":false
}'
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