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Posted to issues@spark.apache.org by "Nicola (Jira)" <ji...@apache.org> on 2022/02/01 17:39:00 UTC
[jira] [Created] (SPARK-38083) set the amout of explained variance as parameter of pyspark.ml.feature.PCA
Nicola created SPARK-38083:
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Summary: set the amout 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: MLlib
Affects Versions: 3.2.1
Reporter: Nicola
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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