I think there is a bit more life in the connector side of things for spark-packages, but there seem to be some outstanding issues with Python support that are waiting on progress (see https://github.com/databricks/sbt-spark-package/issues/26 ). It's possible others are just distributing on maven central instead of putting in the effort to publish to spark-packages, but I don't know if any comprehensive index besides spark-packages currently.
On Sunday, November 6, 2016, Stephen Boesch <java...@gmail.com> wrote: > > What is the state of the spark-packages project(s) ? When running a query > for machine learning algorithms the results are not encouraging. > > > https://spark-packages.org/?q=tags%3A%22Machine%20Learning%22 > > There are 62 packages. Only a few have actual releases - and even less > with dates in the past twelve months. > > There are several from DataBricks among the chosen few that have recent > releases. > > Here is one that actually seems to be in reasonable shape: the DB port of > Stanford coreNLP. > > https://github.com/databricks/spark-corenlp > > But .. one or two solid packages .. ? > > It seems the spark-packages approach seems not to have picked up steam.. > Are there other places suggested to look for algorithms not included in > mllib itself ? > > > > -- Cell : 425-233-8271 Twitter: https://twitter.com/holdenkarau
