Switch to private NLB with session manager jump host #11
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…n manager port forwarding
pdifranc
reviewed
Nov 17, 2022
| "outputs": [], | ||
| "source": [ | ||
| "!pip install -q mlflow==1.28.0" | ||
| "!pip install -q mlflow==1.30.0" |
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Here you havent upgrade to 2.0.1. I have
| @@ -1 +1 @@ | |||
| mlflow==1.28.0 | |||
| mlflow==1.30.0 | |||
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Same as above there is version mismatch between the client SDK and the tracking server
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side note: mlflow 2.0.1 requires python >= 3.8. The SKLearn image from SageMaker runs on python 3.7 which will make the install fail :(
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you can update the SKLearn framework to framework_version='1.0-1', and it should work. I am testing it currently
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ok, is a little more complicated, since there has been a major change in how MLFlow now deploys to SageMaker, so upgrading the SDK client requires more work
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