core-matrix

intended for specific discussion around core.matrix (usage and development) For general data work check out #data-science
2016-01-18T08:49:08.000184Z

@mikera: any thoughts on allowing core.matrix to be called from java?

2016-01-18T09:43:18.000185Z

Hmmmm when using Java I just use Vectorz directly

2016-01-18T09:43:48.000186Z

It has all the core.matrix features and you get the added benefits of type safety and faster dispatch

2016-01-18T10:27:15.000187Z

the thought was to take advantage of the multiple implementations

2016-01-18T10:28:01.000188Z

it might not be worth the effort of getting everything to work in java though...

2016-01-18T10:40:50.000189Z

Well... you can always use the usual Java -> Clojure API

2016-01-18T10:43:34.000190Z

yeah, i’m currently in germany with a bunch of image processing folks and we’re debating on migrating to a new matrix library

2016-01-18T10:44:16.000191Z

since there isn’t a clear winner across the board when it comes to decompositions and solving, i’m suggesting that there might be some value in being able to swap implementations

2016-01-18T10:44:23.000192Z

(java image processing folks)

2016-01-18T10:45:08.000193Z

it doesn’t seem like you’ve gotten Vectorz into the running on http://lessthanoptimal.github.io/Java-Matrix-Benchmark/runtime/2015_07_XeonQuad/

2016-01-18T10:45:25.000195Z

though, since you said you based it on EJML, i’m guessing the performance is relatively similar