mir.libmir.orgMir (backports) - D Programming

Language Menu Mir Libraries mir-algorithm - Base algorithms and types mir-core - Slim core library mir-cpuid - CPUID identification mir-integral - Integration utilities mir-ion - Json mir-optim - Nonlinear programming mir-random - Random engines and variables mir-stat - Statistical package mir-lapack - Linear Algebra wrappers for ndslice mir-blas - CBLAS wrappers for ndslice mir (backports) asdf - Json library Kaleidic/lubeck - Linar algebra GitHub Forum Open Issue Dlang Search go Library Reference overview mir glas l1 l2 model lda hoffman sparse blas axpy dot gemm gemv Report a bug If you spot a problem with this page, click here to create a GitHub issue. Improve this page Quickly fork, edit online, and submit a pull request for this page. Requires a signed-in GitHub account. This works well for small changes. If you’d like to make larger changes you may want to consider using a local clone. Mir (backports) The following table is a quick reference guide for which mir (backports) modules to use for a given category of functionality. Modules Description Tensors mir.sparse Sparse Tensors Models mir.model.lda.hoffman Online variational Bayes for latent Dirichlet allocation (Online VB LDA) for sparse documents. LDA is used for topic modeling Linear Algebra mir.glas Generic Linear Algebra Subroutines (BLAS implementation) mir.sparse.blas Sparse BLAS for CompressedTensor Copyright © 2016-2020 by Ilya Yaroshenko | Page generated by Ddoc on Sun Nov 15 09:37:38...