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v1.4.3

Version 1.4.3 of DynaML, released June 13, 2017. Updates, improvements and new features.

DynaML REPL

Additions

Module scripts

• Added gp_mcmc_santafe.sc worksheet to try new MCMC feature on GP models; applied on the Santa Fe laser data set.

General

• Updated Ammonite version to 0.9.9

Pipes API

Additions

Package dynaml.pipes

• Added ._1 and ._2 members in ParallelPipe

Core API

Additions

Package dynaml.models.neuralnets

• Added SELU activation function proposed by Hochreiter et. al

Package dynaml.models.bayes

• Added * method to CoRegGPPrior which scales it with to a ParallelPipe

Package dynaml.probability.mcmc

• Added HyperParameterMCMC for performing MCMC sampling for models extending GloballyOptimizable.

Package dynaml.utils

• Added trait HyperParameters outlining methods that must be implemented by entities having hyper-parameters

• Added MeanScaler, PCAScaler to perform mean centering and PCA on data sets. Also added to DynaMLPipe pipe library.

• Added tail recursive computation of the Chebyshev polynomials of the first and second kind in utils.chebyshev.

Improvements

Package dynaml.models.bayes

• Added trendParamsEncoder which converts the trend/mean parameters into a scala Map[String, Double] making them consistent with covariance parameters. Added to GaussianProcessPrior and ESGPPrior families.

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