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Status of Spark MLlib wrappers in SparkR

July 14, 2016 By editor

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
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Filed Under: Machine learning Tagged With: mllib, Spark, sparkr

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