SparkMLLib Toolkit v1.0.0 Release

This release includes operators that support loading and scoring against a variety of Spark MLLib algorithms including:

• Classification
  • Linear SVM
  • Naive Bayes
• Clustering
  • KMeans
• Collaborative Filtering
• Regression
  • Isotonic
  • Linear
  • Logistic
• Tree
  • Decision Tree
  • Gradient Boosted Trees
  • Random Forest