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• spark-gp-master
  • src
    • main
      • scala
        • org
          • apache
            • spark
              • ml
                • classification
                  • examples
                    • MNIST.scala
                    • Iris.scala
                  • GaussianProcessClassifier.scala
                • commons
                  • kernel
                    • Kernel.scala
                    • RBFKernel.scala
                    • ScalarTimesKernel.scala
                    • package.scala
                    • ARDRBFKernel.scala
                    • SumOfKernels.scala
                  • util
                    • Integrator.scala
                    • Scaling.scala
                    • logDetAndInv.scala
                    • DiffFunctionMemoized.scala
                  • ProjectedGaussianProcessHelper.scala
                  • ActiveSetProvider.scala
                  • GaussianProcessParams.scala
                  • GaussianProcessCommons.scala
                • regression
                  • examples
                    • GPExample.scala
                    • Airfoil.scala
                    • Synthetics.scala
                  • GaussianProcessRegression.scala
                  • benchmark
                    • PerformanceBenchmark.scala
    • test
      • scala
        • org
          • apache
            • spark
              • ml
                • commons
                  • kernel
                    • RBFKernelTest.scala
                    • ARDRBFKernelTest.scala
                  • util
                    • IntegratorTest.scala
  • LICENSE
  • data
    • iris.csv
    • airfoil.csv
  • README.md
  • build.sbt

spark-gp

Gaussian Process Regression and Classification on Apache Spark WIP

The thing works in linear time.

Docs are yet to come, so check out examples src/main/scala/org/apache/spark/ml/regression/examples/ and src/main/scala/org/apache/spark/ml/classification/examples/.