Zeppelin Scala Notebook Datarealtime Tutorial 2.1: spark ml in scala with apache zeppelin random forest classifier in this video, we continue using spark ml package and train a random forest. Randomforest classification example using spark mllib generation of model from training data, saving the model locally. prediction using the saved model.

Zeppelin Scala Notebook Datarealtime In spark.ml logistic regression can be used to predict a binary outcome by using binomial logistic regression, or it can be used to predict a multiclass outcome by using multinomial logistic regression. use the family parameter to select between these two algorithms, or leave it unset and spark will infer the correct variant.

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