[MLflow] Machine Learning Lifecycle

Workshop

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• 四个关注点：

Optimize。

input data, tuning parameters。

compare and combine 各种库。

不同的部署方式。

 

• Tracking 哪些个特征？

Parameters
Metrics
Tags and Notes	information about a run.
Artifacts	files, data, and models.
Source	what code ran?
Version	what of the code?
Run	an instance of code that runs by MLflow.
Experiment	{Run, ... Run}

 

 

 

Ref: 初试 MLflow 机器学习实验管理平台搭建

先把环境以及helloworld程序跑起来。

 

 

 

代码：https://github.com/dmatrix/mlflow-workshop-part-1

视频：Workshop | Managing the Complete Machine Learning Lifecycle with MLflow: 1 of 3，34:26 / 57:38