Python MLflow(management machine learning life-cycle) example tutorial code
Blog post (Description) - https://lsjsj92.tistory.com/623 refer : https://github.com/lsjsj92/python_mlflow_example
- mlflow-env dir
- MLflow Project & Package example with MLProject, conta.yaml
- main.py
- Main file on this process
- start with is_keras argument
- 1 : use tensorflow(keras)
- 0 : use scikit learn
- Execute titanic modeling
- Execute MLflow logging
- titanic.py
- Main of Titniac process
- data load -> preprocess -> ML/DL modeling -> return model
- model.py
- Machine Learning or Deep Learning Modeling part
- Machine Learning : use scikit-learn library or lightgbm
- Deep Learning : use tensorflow library ( keras )
- preprocess.py
- Preprocess part
- Preprocess titanic data
- config.py
- Config part
- dataio.py
- Data io part
- Get data