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Remove Pearson correlation score based feature filtering for random effects #457

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Updated for latest master.
@cmjiang @lguo Requesting review

Is Photon ML being published to an external artifact repository now? Which files need to be updated before a merge?

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cmjiang commented May 9, 2020

@ashelkovnykov The migration to external artifact repo is done. Please update release-bintray.gradle for new versions and CHANGELOG.md for new changes.

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@cmjiang
Does each change necessarily publish a new jar? What if we want to have multiple GitHub PRs condensed into one release, what should I do for that case? Asking because all five of my "ready to go" PRs should technically be a new major version, but I don't want to suddenly take us to version 25 of Photon ML. Thank you

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cmjiang commented May 16, 2020

@ashelkovnykov Good question. We don't need to push each change to a new jar. And we definitely don't want to suddenly bump 5 major version up. However the problem is that the version is explicitly pinned in the release-bintray.gradle. I can't think of a neat solution for now. @lguo @yunboouyang Any idea?

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cmjiang commented May 16, 2020

Since we don't have to push each change to a new jar, we can just keep the same version number for those PRs without new jars. The problem is that the same version number may have different versions of code.

@@ -287,27 +286,24 @@ object RandomEffectDataset {
randomEffectDataConfiguration,
randomEffectPartitioner)
val projectedGroupedActiveData = generateProjectedActiveData(unfilteredActiveData, unfilteredProjectors)
val projectedUnfilteredActiveData = featureSelectionOnActiveData(
projectedGroupedActiveData,
randomEffectDataConfiguration.numFeaturesToSamplesRatioUpperBound)
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Forgot to remove the numFeaturesToSamplesRatioUpperBound from the data configuration

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3 participants