hpo-using-optuna-mlflow's Introduction

HPO Using Optuna and MLflow

본 저장소는 Optuna를 이용한 Hyper-parameter Optimization (HPO)를 수행하고 MLflow를 이용해 Experiment tracking을 수행하는 내용을 담고 있습니다.

실행 방법

Anaconda로 Python 3.8+ 이상의 가상 환경을 생성하는 것을 권장드립니다.
저장소를 Clone 합니다.

https://github.com/otzslayer/hpo-using-optuna-mlflow

Dependency 설치

pip3 install requirements.txt

run_hpo.py 실행

python run_hpo.py --n_trials 50

MLflow UI 실행

$ mlflow ui

http://127.0.0.1:5000 접속

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