Awesome

Bayesian Networks in Scala

It is a Scala library for Bayesian Networks and Probabilistic Graphical Models. It allows for defining Baysian models and performing Bayesian inference in a number of ways:

• DSL - This is a high level api for defining Bayesian Networks.
• Factor graph - It supports discrete and continuous variables. Inference is performed with Expectation Propagation.
• Factor graph 2 - Different (newer) implemenation of factor graph.
• Cluster graph - Supports discrete variables only.

The bayes-scala-gp library for Gaussian Processes is built on top of bayes-scala.

Links

• Some code examples for moment matching, linear gaussian, linear dynamical systems, EP, etc.
• Can you please clarify for us: what is the future of bayes-scala?

How to use it from sbt and maven?

Release version

SBT configuration:

libraryDependencies += "com.github.danielkorzekwa" %% "bayes-scala" % "0.6"  

Maven configuration:

  <dependencies>
    <dependency>
      <groupId>com.github.danielkorzekwa</groupId>
      <artifactId>bayes-scala_2.11</artifactId>
      <version>0.5</version>
    </dependency>
  <dependencies>

Snapshot version

Snapshot artifact is built by a Travis CI and deployed to Sonatype OSS Snapshots repository with every commit to Bayes-scala project.

With sbt build tool, add to build.sbt config file:

libraryDependencies += "com.github.danielkorzekwa" %% "bayes-scala" % "0.7-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_2.11</artifactId>
      <version>0.7-SNAPSHOT</version>
    </dependency>
  <dependencies>