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[SPARK-18792] [R] mention spark.logit in vignettes #16224

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[SPARK-18792] [R] mention spark.logit in vignettes #16224

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5 changes: 5 additions & 0 deletions R/pkg/vignettes/sparkr-vignettes.Rmd
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Expand Up @@ -526,6 +526,11 @@ gaussianFitted <- predict(gaussianGLM, carsDF)
head(select(gaussianFitted, "model", "prediction", "mpg", "wt", "hp"))
```

#### Logistic Regression Model

We provide `spark.logit` on top of `spark.glm` to support logistic regression with advanced hyper-parameters.
It supports both binary and multiclass classification, elastic-net regularization, and feature standardization, similar to `glmnet`.

#### Naive Bayes Model

Naive Bayes model assumes independence among the features. `spark.naiveBayes` fits a [Bernoulli naive Bayes model](https://en.wikipedia.org/wiki/Naive_Bayes_classifier#Bernoulli_naive_Bayes) against a SparkDataFrame. The data should be all categorical. These models are often used for document classification.
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