Awesome
Algorithms for Gaussian Processes
List of algorithms:
- Collaborative multi-output Gaussian Process
- Sparse Gaussian Process Regression
- Gaussian Process Regression
- Hierachical Gaussian Process Regression
- Multi Task Gaussian Process Regression
- GPR: Learning cov hyper parameters with variational lower bound on marginal likelihood
- Gaussian Process Classification
- Multi Task Gaussian Process Classification
- Hierachical Gaussian Process Classification
This project uses Bayes-scala library for Bayesian inference.
How to use it from sbt and maven?
Only snapshot version for Scala 2.11.
Snapshot version
Snapshot artifact is built by a Travis CI and deployed to Sonatype OSS Snapshots repository with every commit to Bayes-scala-gp project.
With sbt build tool, add to build.sbt config file:
libraryDependencies += "com.github.danielkorzekwa" %% "bayes-scala-gp" % "0.1-SNAPSHOT"
resolvers += Resolver.sonatypeRepo("snapshots")
With maven build tool, add to pom.xml config file:
<repositories>
<repository>
<id>oss-sonatype-snapshots</id>
<name>oss-sonatype-snapshots</name>
<url>https://oss.sonatype.org/content/repositories/snapshots/</url>
</repository>
</repositories>
<dependencies>
<dependency>
<groupId>com.github.danielkorzekwa</groupId>
<artifactId>bayes-scala-gp_2.11</artifactId>
<version>0.1-SNAPSHOT</version>
</dependency>
<dependencies>