mir 0.17.0-alpha2

Mir

Generic Numerical Library for Science and Machine Learning.

Projects based on Mir

• Computer Vision Library for D Programming Language

Documentation

API can be found here. Read also the Mir blog.

Contents

• mir.ndslice Multidimensional Random Access Ranges and Arrays
• mir.sparse Sparse Tensors
• Sparse - DOK format
• Different ranges for COO format
• CompressedTensor - CSR/CSC formats
• mir.sparse.blas - Sparse BLAS for CompressedTensor
• mir.model.lda.hoffman - Online variational Bayes for latent Dirichlet allocation (Online VB LDA) for sparse documents. LDA is used for topic modeling.
• mir.combinatorics Combinations, combinations with repeats, cartesian power, permutations.
• mir.las.sum Functions and Output Ranges for Summation Algorithms. Works with user-defined types.
• Precise algorithm: improved analog of Python's fsum
• Pairwise algorithm: fast version for Input Ranges
• Kahan, KBN, and KB2 algorithms

In progress

• mir.random - non-uniform RNGs.
• mir.glas - Generic Linear Algebra Subroutines.

Compatibility

• LDC (LLVM D Compiler) >= 1.1.0-beta2 (recommended compiler).
• DMD (reference D compiler) >= 2.072.1.

	Linux	Mac OS X	Windows
LDC 64			by ignoring issue #120
LDC 32		OS X >= 10.7 is x86-64 only	by ignoring issue #120
DMD 64
DMD 32		OS X >= 10.7 is x86-64 only

Installation

Fast setup with the dub package manager

Dub is the D's package manager. You can create a new project with:

dub init --format=json <project-name>

Now you need to edit the dub.json add mir as dependency and set its targetType to executable.

{
	...
	"dependencies": {
		"mir": "~><current-version>"
	},
	"targetType": "executable"
}

Now you can create a main file in the source and run your code with:

dub

You can use a different compile with dub --compiler ldc. For a performance boost, add -b release to let the compiler perform additional optimizations, inlining, removal of bound checking and assert statements.

Arch Linux

Type	Name	Version
Stable	libmir
Latest	libmir-git

Contributing

See our TODO List. Mir is very young and we are open for contributing to source code, documentation, examples and benchmarks.

Notes

• mir.ndslice is a development version of the std.experimental.ndslice package.