Release 1.4-beta.6

Improvements

1. Customization of banner text and prompt

Release 1.4-beta.5

Additions

1. LSSVM Committee Model
2. Solver for Committee models taking spark RDDs

Bugfix release 1.4-beta.4

v1.4-beta.4

Added Apache notice to TStudentKernel

Release 1.4-beta.3

Improvements

1. Migration from Maven to sbt
2. Ammonite as default REPL

Bugfix release 1.4-beta.2

Fixed feature map assignment bug in GeneralizedLinearModel companion object.

Release 1.4-beta.1

This release adds the ability to create kernels on the fly using the CovarianceFunction objects apply method.

Bugfix release 1.3.2

This release contains a fix for model selection in GPRegressionModel when validation set is specified.

Bugfix release 1.3.1

This release contains minor bug fixes additions and house cleaning.

1.3

Summary

This release contains many additions and improvements.

Models

1. Regularized Least Squares
2. Logistic and Probit Regression
3. Feed Forward Neural Nets
4. Gaussian Process (GP) classification and NARX based models
5. Least Squares Support Vector Machines (LSSVM) for classification and regression
6. Meta model API, committee models

Optimization Primitives

1. Regularized Least Squares Solvers
2. Gradient Descent
3. Committee model solvers
4. Linear Solvers for LSSVM
5. Laplace approximation for GPs

Miscellaneous

1. Data Pipes API
2. Migration to scala version 2.11.8

Version 1.2

Important additions include.

1. Gaussian Process inference
2. Using the WISP library for plotting