Scasci is a self-contained Scala library for scientific computation. The target is to provide a NumPy/SciPy like Scala library for both desktop and mobile (Android) platforms. As such, libraries like breeze is not used, and the wheel is re-invented. Similarly, the library does not contain visualization tools, which might be a separate project.
Features to include:
- Linear algebra
- Artificial intelligence
- Utilities
- Random number generator (Uniform Int/Double, Gaussian distribution)
For more information about Scasci, please go to https://github.com/whily/scasci
Wiki pages can be found at https://wiki.github.com/whily/scasci
The following tools are needed to build Scasci from source:
- JDK version 6/7/8 from http://www.java.com if Java is not available. Note that JDK is preinstalled on Mac OS X and available via package manager on many Linux systems.
- Scala (2.11.11)
- sbt (0.13.16)
The project follows general sbt architecture, therefore normal sbt commands can be used to build the library: compile, doc, test, etc. For details, please refer http://scala.micronauticsresearch.com/sbt/useful-sbt-commands.
Currently the library is not published to any public repository
yet. To use this library with your project, you need to download the
source code, and run sbt publish-local in your command line. Then,
include following line in your sbt configuration file.
libraryDependencies += "net.whily" %% "scasci" % "0.0.1-SNAPSHOT"