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https://issues.apache.org/jira/browse/SPARK-38083?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nicola updated SPARK-38083:
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Summary: set the amount of explained variance as parameter of
pyspark.ml.feature.PCA (was: set the amout of explained variance as parameter
of pyspark.ml.feature.PCA)
> set the amount of explained variance as parameter of pyspark.ml.feature.PCA
> ---------------------------------------------------------------------------
>
> Key: SPARK-38083
> URL: https://issues.apache.org/jira/browse/SPARK-38083
> Project: Spark
> Issue Type: Wish
> Components: ML, MLlib
> Affects Versions: 3.2.2
> Reporter: Nicola
> Priority: Major
>
> As in
> [sklearn.decomposition.PCA|https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html],
> where:
> if {{0 < n_components < 1}} select the number of components such that the
> amount of variance that needs to be explained is greater than the percentage
> specified by n_components
> it would be useful to have a similar behavior with the k parameter in
> pyspark.ml.feature.PCA.
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