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Upgrade PGML Python dependencies #77
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This will need to be built and then tested in dev before its released. The last I tried (which is a long time ago now), I was not able to get xgboost to function properly (via pgml in postgres) in our cloud for any pgml version > 2.7.1.
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The dockerfile will need to be updated to install pgml and its dependencies from source.
Then, test that the extension can not only be loaded but also that it functions properly. e.g. train a classification model, then load it and run some .predict through it. You could use the example in the ML Stack Docs as way to test it. If you can get through the guide, then its probably good enough.
New years goals. |
For when we come back to this https://github.com/postgresml/postgresml/blob/master/docker/Dockerfile |
And remove unused arguments from the `Dockerfile`.
And remove unused arguments from the `Dockerfile`.
And remove unused arguments from the
Dockerfile
. Completes tem-2724.