Using Jupyter

Jupyter is a great way to work with Rainier.

Using a customized kernel install

The install-kernel.sh script will install a pre-configured Almond kernel suitable for Rainier. If you have Jupyter installed (eg with brew install jupyter), and run that script, you should then be able to use the Rainier (Scala 2.12) kernel for all your Bayesian Scala needs.

Specifically, this script installs a kernel that:

  • Uses Scala 2.12, which is currently the only version rainier-notebook is available for
  • Uses Almond 0.9.0, which seems to currently be more reliable than the latest release
  • Includes the https://dl.bintray.com/rainier/maven repository
  • Includes the https://dl.bintray.com/cibotech/public repository, which is needed for the EvilPlot dependency
  • Configures the kernel with a custom id, name, and logo

At the top of your notebook, you need to import the core and notebook modules using Ammonite:

import $ivy.`com.stripe::rainier-core:0.3.3`
import $ivy.`com.stripe::rainier-notebook:0.3.3`

Then in a separate cell, you can import the Rainier packages:

import com.stripe.rainier.compute._
import com.stripe.rainier.core._
import com.stripe.rainier.notebook._

Finally, you can register a custom pretty-printer for better notebook output of Rainier objects:

PrettyPrint.register(repl)

Using a standard Almond kernel

If you are not using the custom kernel installer, make sure to use the Scala 2.12 kernel, and add the following to the top of your notebook in its own cell:

interp.repositories() ++= Seq(
  coursierapi.MavenRepository.of("https://dl.bintray.com/rainier/maven"),
  coursierapi.MavenRepository.of("https://dl.bintray.com/cibotech/public"),
  coursierapi.MavenRepository.of("https://jitpack.io/")
)
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