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Python MLflow(management machine learning life-cycle) example & tutorial code

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python_mlflow example

Python MLflow(management machine learning life-cycle) example tutorial code

Info & reference

Blog post (Description) - https://lsjsj92.tistory.com/623 refer : https://github.com/lsjsj92/python_mlflow_example

Description

  • 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

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