DynaML
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tailhq
Scala Library/REPL for Machine Learning Research
Updates * [com.typesafe.akka:akka-http](https://github.com/akka/akka-http) * [com.typesafe.akka:akka-http-spray-json](https://github.com/akka/akka-http) * [com.typesafe.akka:akka-http-testkit](https://github.com/akka/akka-http) from 10.1.11 to 10.1.12. [GitHub Release Notes](https://github.com/akka/akka-http/releases/tag/v10.1.12) - [Version Diff](https://github.com/akka/akka-http/compare/v10.1.11...v10.1.12) I'll automatically update this PR to resolve conflicts as long as you don't...
Updates * [com.typesafe.akka:akka-actor](https://github.com/akka/akka) * [com.typesafe.akka:akka-stream](https://github.com/akka/akka) * [com.typesafe.akka:akka-testkit](https://github.com/akka/akka) from 2.6.1 to 2.6.5. [GitHub Release Notes](https://github.com/akka/akka/releases/tag/v2.6.5) - [Version Diff](https://github.com/akka/akka/compare/v2.6.1...v2.6.5) I'll automatically update this PR to resolve conflicts as long as you don't...
Updates * [org.apache.spark:spark-core](http://spark.apache.org/) * [org.apache.spark:spark-mllib](http://spark.apache.org/) from 2.4.4 to 2.4.5. I'll automatically update this PR to resolve conflicts as long as you don't change it yourself. If you'd like to skip...
When running GPRegression model, I find that it is particularly verbose in the console. At first, I thought it was log4j configuration being too verbose. However, grepping in the code,...
This will be in the spirit of [pyspark](https://github.com/apache/spark/tree/master/python/pyspark). We can use [Py4j](https://github.com/bartdag/py4j) as a bridge between the JVM and python process.
Hamiltonian Monte Carlo methods --------------- 1. Vanilla HMC 2. Riemannian Manifold HMC 3. Lagrangian HMC
Like we have [Stan](http://mc-stan.org/) for Python, R as HMC requires some tuning, so if we use [NUTS](http://andrewgelman.com/2011/11/30/stan-uses-nuts/) (Stan's sampler) which is more computationally efficient than the optimal static HMC. #59
Implement warped gaussian processes as outlined in Ghahramani et. al
This issue/task is quite large in terms of scope and implications. One can consider several capabilities that can be seen as objectives which the native interface/connection will need to achieve...
Making the DynaML environment available in a jupyter notebook is the next step in enabling its use in interactive data science. Some notable starting points include. 1. [jupyter-scala](https://github.com/alexarchambault/jupyter-scala) 2. [Apache...