From e52217ee8bafb1e00cfc33262ad698b2d69b2a71 Mon Sep 17 00:00:00 2001 From: Marcus Edel Date: Sun, 11 Apr 2021 18:04:31 +0200 Subject: [PATCH] Use Azure build as badge source. --- README.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index 84eb8260b4..21b9e09e7e 100644 --- a/README.md +++ b/README.md @@ -14,7 +14,7 @@ src="https://cdn.rawgit.com/mlpack/mlpack.org/e7d36ed8/mlpack-black.svg" style="

- Jenkins + Azure DevOps builds (job) License NumFOCUS

@@ -141,10 +141,10 @@ If you are compiling Armadillo by hand, ensure that LAPACK and BLAS are enabled. ### 4. Building mlpack from source -This document discusses how to build mlpack from source. These build directions +This document discusses how to build mlpack from source. These build directions will work for any Linux-like shell environment (for example Ubuntu, macOS, -FreeBSD etc). However, mlpack is in the repositories of many Linux distributions -and so it may be easier to use the package manager for your system. For example, +FreeBSD etc). However, mlpack is in the repositories of many Linux distributions +and so it may be easier to use the package manager for your system. For example, on Ubuntu, you can install the mlpack library and command-line executables (e.g. mlpack_pca, mlpack_kmeans etc.) with the following command: @@ -182,7 +182,7 @@ sufficient. The next step is to run CMake to configure the project. Running CMake is the equivalent to running `./configure` with autotools. If you run CMake with no -options, it will configure the project to build with no debugging symbols and +options, it will configure the project to build with no debugging symbols and no profiling information: $ cmake ../ @@ -238,7 +238,7 @@ This will build all library components as well as 'mlpack_test'. $ make -If you do not want to build everything in the library, individual components +If you do not want to build everything in the library, individual components of the build can be specified: $ make mlpack_pca mlpack_knn mlpack_kfn @@ -251,7 +251,7 @@ and submit an issue. The mlpack developers will quickly help you figure it out: Alternately, mlpack help can be found in IRC at `#mlpack` on chat.freenode.net. If you wish to install mlpack to `/usr/local/include/mlpack/`, `/usr/local/lib/`, -and `/usr/local/bin/`, make sure you have root privileges (or write permissions +and `/usr/local/bin/`, make sure you have root privileges (or write permissions to those three directories), and simply type $ make install