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Posted to commits@spark.apache.org by jk...@apache.org on 2016/12/14 22:10:43 UTC
spark git commit: [SPARK-18795][ML][SPARKR][DOC] Added KSTest section
to SparkR vignettes
Repository: spark
Updated Branches:
refs/heads/master 1ac6567bd -> 786274257
[SPARK-18795][ML][SPARKR][DOC] Added KSTest section to SparkR vignettes
## What changes were proposed in this pull request?
Added short section for KSTest.
Also added logreg model to list of ML models in vignette. (This will be reorganized under SPARK-18849)
## How was this patch tested?
Manually tested example locally.
Built vignettes locally.
Author: Joseph K. Bradley <jo...@databricks.com>
Closes #16283 from jkbradley/ksTest-vignette.
Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/78627425
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/78627425
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/78627425
Branch: refs/heads/master
Commit: 78627425708a0afbe113efdf449e8622b43b652d
Parents: 1ac6567
Author: Joseph K. Bradley <jo...@databricks.com>
Authored: Wed Dec 14 14:10:40 2016 -0800
Committer: Joseph K. Bradley <jo...@databricks.com>
Committed: Wed Dec 14 14:10:40 2016 -0800
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R/pkg/vignettes/sparkr-vignettes.Rmd | 29 ++++++++++++++++++++++++++++-
1 file changed, 28 insertions(+), 1 deletion(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/78627425/R/pkg/vignettes/sparkr-vignettes.Rmd
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diff --git a/R/pkg/vignettes/sparkr-vignettes.Rmd b/R/pkg/vignettes/sparkr-vignettes.Rmd
index 334daa5..d507e2c 100644
--- a/R/pkg/vignettes/sparkr-vignettes.Rmd
+++ b/R/pkg/vignettes/sparkr-vignettes.Rmd
@@ -469,6 +469,10 @@ SparkR supports the following machine learning models and algorithms.
* Isotonic Regression Model
+* Logistic Regression Model
+
+* Kolmogorov-Smirnov Test
+
More will be added in the future.
### R Formula
@@ -800,7 +804,7 @@ newDF <- createDataFrame(data.frame(x = c(1.5, 3.2)))
head(predict(isoregModel, newDF))
```
-### Logistic Regression Model
+#### Logistic Regression Model
(Added in 2.1.0)
@@ -834,6 +838,29 @@ model <- spark.logit(df, Species ~ ., regParam = 0.5)
summary(model)
```
+#### Kolmogorov-Smirnov Test
+
+`spark.kstest` runs a two-sided, one-sample [Kolmogorov-Smirnov (KS) test](https://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test).
+Given a `SparkDataFrame`, the test compares continuous data in a given column `testCol` with the theoretical distribution
+specified by parameter `nullHypothesis`.
+Users can call `summary` to get a summary of the test results.
+
+In the following example, we test whether the `longley` dataset's `Armed_Forces` column
+follows a normal distribution. We set the parameters of the normal distribution using
+the mean and standard deviation of the sample.
+
+```{r, warning=FALSE}
+df <- createDataFrame(longley)
+afStats <- head(select(df, mean(df$Armed_Forces), sd(df$Armed_Forces)))
+afMean <- afStats[1]
+afStd <- afStats[2]
+
+test <- spark.kstest(df, "Armed_Forces", "norm", c(afMean, afStd))
+testSummary <- summary(test)
+testSummary
+```
+
+
### Model Persistence
The following example shows how to save/load an ML model by SparkR.
```{r, warning=FALSE}
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