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layout: global title: Classification and Regression - spark.mllib displayTitle: Classification and Regression - spark.mllib

The spark.mllib package supports various methods for binary classification, multiclass classification, and regression analysis. The table below outlines the supported algorithms for each type of problem.

More details for these methods can be found here:

• Linear models
  • classification (SVMs, logistic regression)
  • linear regression (least squares, Lasso, ridge)
• Decision trees
• Ensembles of decision trees
  • random forests
  • gradient-boosted trees
• Naive Bayes
• Isotonic regression