I (@dlwh) will review bug fix PRs and sometimes answer questions, but that's about all I can offer. If someone wants to take of the reins I'd be happy to hand it off.
Breeze is a library for numerical processing. It aims to be generic, clean, and powerful without sacrificing (much) efficiency.
This is the 2.x branch. The 1.x branch is 1.x.
The latest release is 2.1.0, which is cross-built against Scala 3.1, 2.12, and 2.13.
- https://github.com/scalanlp/breeze/wiki/Quickstart
- https://github.com/scalanlp/breeze/wiki/Linear-Algebra-Cheat-Sheet
- Scaladoc (Scaladoc is typically horribly out of date, and not a good way to learn Breeze.)
- There is also the scala-breeze google group for general questions and discussion.
This project can be built with SBT 1.2+
For SBT, add these lines to your SBT project definition:
libraryDependencies ++= Seq(
// Last stable release
"org.scalanlp" %% "breeze" % "2.1.0",
// The visualization library is distributed separately as well.
// It depends on LGPL code
"org.scalanlp" %% "breeze-viz" % "2.1.0"
)
Previous versions of Breeze included a "breeze-natives" artifact that bundled various native libraries. As of Breeze 1.3, we now use a faster, more friendly-licensed library from @luhenry called simply "netlib". This library is now bundled by default.
Maven looks like this:
<dependency>
<groupId>org.scalanlp</groupId>
<artifactId>breeze_2.13</artifactId>
<version>2.1.0</version>
</dependency>[http://mvnrepository.com/artifact/org.scalanlp/breeze_2.12/2.1.0] (as an example) is a great resource for finding other configuration examples for other build tools.
See documentation (linked above!) for more information on using Breeze.
Breeze is the merger of the ScalaNLP and Scalala projects, because one of the original maintainers is unable to continue development. The Scalala parts are largely rewritten.
(c) David Hall, 2009 -
Portions (c) Daniel Ramage, 2009 - 2011
Contributions from:
- Jason Zaugg (@retronym)
- Alexander Lehmann (@afwlehmann)
- Jonathan Merritt (@lancelet)
- Keith Stevens (@fozziethebeat)
- Jason Baldridge (@jasonbaldridge)
- Timothy Hunter (@tjhunter)
- Dave DeCaprio (@DaveDeCaprio)
- Daniel Duckworth (@duckworthd)
- Eric Christiansen (@emchristiansen)
- Marc Millstone (@splittingfield)
- Mérő László (@laci37)
- Alexey Noskov (@alno)
- Devon Bryant (@devonbryant)
- Kentaroh Takagaki (@ktakagaki)
- Sam Halliday (@fommil)
- Chris Stucchio (@stucchio)
- Xiangrui Meng (@mengxr)
- Gabriel Schubiner (@gabeos)
- Debasish Das (@debasish83)
- Julien Dumazert (@DumazertJulien)
- Matthias Langer (@bashimao)
- Mohamed Kafsi (@mou7)
- Max Thomas (@maxthomas)
- @qilab
- Weichen Xu (@WeichenXu123)
- Sergei Lebedev (@superbobry)
- Zac Blanco (@ZacBlanco)
Corporate (Code) Contributors:
- Semantic Machines (@semanticmachines)
- ContentSquare
- Big Data Analytics, Verizon Lab, Palo Alto
- crealytics GmbH, Berlin/Passau, Germany
And others (contact David Hall if you've contributed and aren't listed).
Netlib, the new low level BLAS library Breeze uses, in turn uses OpenBLAS by default on Linux, which has some quirky behavior w.r.t. threading. (Please see luhenry/netlib#2). As work arounds:
- Use MKL, if possible
- Increase the size of the stack of Java threads with
-Xss10M(set the Java threads' stack size to 10 Mbytes) - Make sure OpenBLAS doesn't use the parallel implementation by defining the environment variable
OPENBLAS_NUM_THREADS=1 - Compile a custom version of OpenBLAS that unconditionally define
USE_ALLOC_HEAPat https://github.com/xianyi/OpenBLAS/blob/develop/lapack/getrf/getrf_parallel.c#L49