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Posted to issues@spark.apache.org by "Stefan Panayotov (JIRA)" <ji...@apache.org> on 2016/06/21 14:19:58 UTC
[jira] [Created] (SPARK-16105) PCA Reverse Transformer
Stefan Panayotov created SPARK-16105:
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Summary: PCA Reverse Transformer
Key: SPARK-16105
URL: https://issues.apache.org/jira/browse/SPARK-16105
Project: Spark
Issue Type: New Feature
Components: ML
Affects Versions: 1.6.1
Reporter: Stefan Panayotov
The PCA class has a fit method that returns a PCAModel. One of the members of the PCAModel is a pc (Principal Components Matrix). This matrix is available for inspection, but there is no method to use this matrix for reverse transformation back to the original dimension. For example, if I use the PCA to reduce dimensionality of my space from 96 to 15, I get a 96x15 pc Matrix. I can do some modeling in my reduced space and then I need to reverse back to the original 96 dimensional space. Basically, I need to multiply my 15 dimensional vectors by the 96x15 pc Matrix to get back 96 dimensional vectors. Such method is missing from the PCA model.
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