diff options
| author | Bago Amirbekian <bago@databricks.com> | 2017-03-28 19:19:16 -0700 |
|---|---|---|
| committer | Joseph K. Bradley <joseph@databricks.com> | 2017-03-28 19:19:16 -0700 |
| commit | a5c87707eaec5cacdfb703eb396dfc264bc54cda (patch) | |
| tree | 123bcc6b24d6d03553faec689b183e7d7b43a7b3 /mllib/src | |
| parent | 7d432af8f3c47973550ea253dae0c23cd2961bde (diff) | |
| download | spark-a5c87707eaec5cacdfb703eb396dfc264bc54cda.tar.gz spark-a5c87707eaec5cacdfb703eb396dfc264bc54cda.tar.bz2 spark-a5c87707eaec5cacdfb703eb396dfc264bc54cda.zip | |
[SPARK-20040][ML][PYTHON] pyspark wrapper for ChiSquareTest
## What changes were proposed in this pull request?
A pyspark wrapper for spark.ml.stat.ChiSquareTest
## How was this patch tested?
unit tests
doctests
Author: Bago Amirbekian <bago@databricks.com>
Closes #17421 from MrBago/chiSquareTestWrapper.
Diffstat (limited to 'mllib/src')
| -rw-r--r-- | mllib/src/main/scala/org/apache/spark/ml/stat/ChiSquareTest.scala | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/ml/stat/ChiSquareTest.scala b/mllib/src/main/scala/org/apache/spark/ml/stat/ChiSquareTest.scala index 21eba9a498..5b38ca73e8 100644 --- a/mllib/src/main/scala/org/apache/spark/ml/stat/ChiSquareTest.scala +++ b/mllib/src/main/scala/org/apache/spark/ml/stat/ChiSquareTest.scala @@ -46,9 +46,9 @@ object ChiSquareTest { statistics: Vector) /** - * Conduct Pearson's independence test for every feature against the label across the input RDD. - * For each feature, the (feature, label) pairs are converted into a contingency matrix for which - * the Chi-squared statistic is computed. All label and feature values must be categorical. + * Conduct Pearson's independence test for every feature against the label. For each feature, the + * (feature, label) pairs are converted into a contingency matrix for which the Chi-squared + * statistic is computed. All label and feature values must be categorical. * * The null hypothesis is that the occurrence of the outcomes is statistically independent. * |