MLflow 1.0.0 リリース！機械学習ライフサイクルを始めよう！ - Qiitaname: My Project conda_env: my_env.yaml # Can have a docker_env instead of a conda_env, e.g. # docker_env: # image: mlflow-docker-example entry_points: main: parameters: data_file: path regularization: {type: float, default: 0.1} command: "python train.py -r {regularization} {data_file}" validate: parameters: data_file: path command: "python validate.py {data_file}" Specifying Projects 実行環境 conda,
