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The last Mir version with old ndslice isv0.22.1.

Generic Numerical Library for Science and Machine Learning.

• Mir Algorithm - Multidimensional arrays (ndslice), iterators, algorithms.
• Mir Random - Professional Random Number Generators
• Mir GLAS - Linear Algebra Library (Experimental, not supported for now)
• Mir BLAS - Bindings to libraries with CBLAS API like OpenBLAS and Intel MKL.
• Mir LAPACK - Bindings to libraries with LAPACK API like OpenBLAS and Intel MKL.
• MirOptim - Nonlinear Solvers.
• Mir CPUID - CPU Identification routines (less buggy then Phobos).

Documentation API can be foundhere.

• mir.glas - Generic Linear Algebra Subroutines
• mir.sparse Sparse Tensors
• Sparse - DOK format
• Different ranges for COO format
• CompressedTensor - CSR/CSC formats
• mir.sparse.blas - Sparse BLAS forCompressedTensor
• 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.

	Linux	Mac OS X	Windows
64-bit
32-bit		N/A	N/A

/+dub.sdl:dependency "mir" version="~>3.1.0"+/importstd.stdio;import mir.combinatorics;voidmain(string[] args){    writeln([1,2].combinations);}

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

dub init <project-name>

Now you need to edit thedub.json addmir as dependency.

{..."dependencies": {"mir":"~><current-version>"},"dflags-ldc": ["-mcpu=native"]}

Now you can create anapp.d file in thesource folder and run your code with

dub --compiler=ldmd2

Flag--build=release and can be added for a performance boost:

dub --compiler=ldmd2 --build=release

ldmd2 is a shell on top ofLDC (LLVM D Compiler).

"dflags-ldc": ["-mcpu=native"] allows LDC to optimize Mir for your CPU.

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