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| author | Yanbo Liang <ybliang8@gmail.com> | 2016-01-25 13:54:21 -0800 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2016-01-25 13:54:21 -0800 |
| commit | dcae355c64d7f6fdf61df2feefe464eb96c4cf5e (patch) | |
| tree | 401df92f5b3239caf68c37ccc98925582aa7a9b6 /mllib/src/main | |
| parent | 9348431da212ec3ab7be2b8e89a952a48b4e2a31 (diff) | |
| download | spark-dcae355c64d7f6fdf61df2feefe464eb96c4cf5e.tar.gz spark-dcae355c64d7f6fdf61df2feefe464eb96c4cf5e.tar.bz2 spark-dcae355c64d7f6fdf61df2feefe464eb96c4cf5e.zip | |
[SPARK-12905][ML][PYSPARK] PCAModel return eigenvalues for PySpark
```PCAModel``` can output ```explainedVariance``` at Python side.
cc mengxr srowen
Author: Yanbo Liang <ybliang8@gmail.com>
Closes #10830 from yanboliang/spark-12905.
Diffstat (limited to 'mllib/src/main')
| -rw-r--r-- | mllib/src/main/scala/org/apache/spark/ml/feature/PCA.scala | 2 |
1 files changed, 2 insertions, 0 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/ml/feature/PCA.scala b/mllib/src/main/scala/org/apache/spark/ml/feature/PCA.scala index 7020397f3b..0e07dfabfe 100644 --- a/mllib/src/main/scala/org/apache/spark/ml/feature/PCA.scala +++ b/mllib/src/main/scala/org/apache/spark/ml/feature/PCA.scala @@ -102,6 +102,8 @@ object PCA extends DefaultParamsReadable[PCA] { * Model fitted by [[PCA]]. * * @param pc A principal components Matrix. Each column is one principal component. + * @param explainedVariance A vector of proportions of variance explained by + * each principal component. */ @Experimental class PCAModel private[ml] ( |