train a simple Pytorch model to test the MLflow lib

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deng a0ac14d0f7 mlflow 1.30 -> 2.1		2023-03-01 14:56:27 +08:00
service	mod service file structure	2023-03-01 14:55:51 +08:00
.gitignore	ignore saved model	2023-02-22 16:27:19 +08:00
README.md	add README	2023-02-21 14:20:12 +08:00
conda.yaml	mlflow 1.30 -> 2.1	2023-03-01 14:56:27 +08:00
get_registered_model_via_rest_api.py	test rest api	2023-02-26 05:10:28 +08:00
predict.py	record model input&output, save model to file system	2023-02-22 16:25:26 +08:00
start_mlflow_server.sh	mod service file structure	2023-03-01 14:55:51 +08:00
test_pytorch_m1.py	mlflow 1.30 -> 2.1	2023-03-01 14:56:27 +08:00
train.py	record model input&output, save model to file system	2023-02-22 16:25:26 +08:00

test_mlflow

測試使用MLflow紀錄Pytorch模型訓練，以及從Model registry中拉取Production model進行推論。