Wrappers for Spark’s MLlib machine learning library in SparkR have been slow to arrive. However, the future looks bright.

The imminent 2.0 release will bring k-means support to SparkR and the 2.1 release is scheduled to include wrappers for the following machine learning stalwarts

• Alternating Least Squares (ALS)
• Decision Trees
• Gaussian Mixture Models
• Isotonic Regression
• Latent Dirichlet Allocation (LDA)
• Multilayer Perceptron Classifiers
• Random Forests