[英]Is there a way to log stats/artifacts from AWS Glue Job using mlfow?
您能否让我知道在mlflow的当前版本中是否有这样的功能?
I think the general answer here is that you can log arbitrary data and artifacts from your experiment to your MLflow tracking server using mlflow_log_artifact()
or mlflow_set_tag()
, depending on how you want to do it. 我认为这里的一般答案是,您可以使用mlflow_log_artifact()
或mlflow_set_tag()
将实验中的任意数据和工件记录到MLflow跟踪服务器,具体取决于您要执行的操作。 If there's an API to get data from Glue and you can fetch it during your MLflow run, then you can log it. 如果有一个API可以从Glue中获取数据,并且您可以在MLflow运行期间获取它,则可以对其进行记录。 Write a csv, save a .png to disk and log that, or declare a variable and access it when you are setting the tag. 编写csv,将.png保存到磁盘并记录该日志,或者在设置标签时声明一个变量并对其进行访问。
This applies for Glue or any other API that you are getting a response from. 这适用于Glue或您从中获得响应的任何其他API。 One of the key benefits of MLflow is that it is such a general framework, so you can track what matters to that particular experiment. MLflow的主要好处之一就是它是一个通用的框架,因此您可以跟踪对该特定实验重要的事情。
Hope this helps! 希望这可以帮助!
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