A few problems, some quick explorations, export to/from SQL.
Based on the TechAscent ml stack which includes smile.
Precompile tech.ml.dataset. In order to get the best possible general performance, we rely on macros and the Clojure compiler in order to compile a lot of primitive-type-specific code. This does have a startup performance time hit, however, in the case where the code hasn't been AOT compiled.
rm -rf classes
mkdir classes
clojure -e "(compile 'tech.v3.dataset)"
or, if you want:
scripts/compile
- Make note to redo this step if you upgrade
tech.ml.dataset
.
If you would like to use postgres to store results then after installing docker run:
scripts/start-local-postgres
Go into the various namespaces an REPL around for a while. Or find a new dataset, create a new namespace, and get to it.