From 1152f787c96a53cdca27483ce6a97ae0ec522670 Mon Sep 17 00:00:00 2001 From: Patryk Orzechowski Date: Wed, 16 Aug 2017 18:18:00 -0400 Subject: [PATCH 1/2] Small changes to README.md CUDA 8.0 isn't the actual requirement for EvoBic. Earlier versions of CUDA should work as well. --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 8c7b021..43a1a1e 100644 --- a/README.md +++ b/README.md @@ -15,7 +15,7 @@ EvoBic is MIT-licensed. Please see the [repository license](https://github.com/a ## Installation -EvoBic requires CUDA 8.0, installed C++11 environment and OpenMP. +EvoBic requires CUDA, installed C++11 environment and OpenMP. We maintain the [EvoBic installation instructions](http://athril.github.io/evobic/installation/). From a48ba8515dc65d2ce7bcc15031748eedcf9ec847 Mon Sep 17 00:00:00 2001 From: Patryk Orzechowski Date: Wed, 16 Aug 2017 18:18:51 -0400 Subject: [PATCH 2/2] Updating README.md --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 43a1a1e..28e6505 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ EvoBic is a next-generation biclustering algorithm based on artificial intelligence (AI). EvoBic is probably the first algorithm capable of discovering the most challenging patterns (i.e. row-constant, column-constant, shift, scale, shift-scale and trend-preserving) in complex and noisy data with average accuracy of over 90%. It is also one of the very few parallel biclustering algorithms that use at least one graphics processing unit (GPU) and is ready for big-data challenges. -EvoBic is mainly implemented in C++11. CUDA with OpenMP used for parallelization. +EvoBic is mainly implemented in C++11. CUDA with OpenMP are used for parallelization. **EvoBic is still under active development** @@ -33,7 +33,7 @@ The basic usage of EvoBic is: ```$ ./evobic [OPTIONS]``` To override any of default options extra arguments should be added: - +``` Options: -i,--input TEXT input file -n,--iterations INT number of iterations [default: 5000] @@ -43,7 +43,7 @@ Options: -a,--approx FLOAT approximate trends acceptance ratio [0.85] -m,--negative-trends INT negative trends [1] -l,--log is logging enabled [false] - +``` ## Examples