Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/16222#discussion_r91822502
--- Diff: R/pkg/vignettes/sparkr-vignettes.Rmd ---
@@ -768,8 +768,46 @@ newDF <- createDataFrame(data.frame(x = c(1.5, 3.2)))
head(predict(isoregModel, newDF))
```
-#### What's More?
-We also expect Decision Tree, Random Forest, Kolmogorov-Smirnov Test
coming in the next version 2.1.0.
+### Logistic Regression Model
+
+(Added in 2.1.0)
+
+[Logistic regression](https://en.wikipedia.org/wiki/Logistic_regression)
is a widely-used model when the response is categorical. It can be seen as a
special case of the [Generalized Linear
Model](https://en.wikipedia.org/wiki/Generalized_linear_model).
+There are two types of logistic regression models, namely binomial
logistic regression (i.e., response is binary) and multinomial
--- End diff --
This sentence is not very necessary, which is basically explaining what
logistic regression models are.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
