See https://kengz.gitbooks.io/slm-lab/content/installation/installation.html for full instruction.
- Clone SLM-Lab
git clone https://github.com/kengz/SLM-Lab.git
cd SLM-Lab
- Install node, yarn, electron and orca for the environment and analysis module
brew install node yarn
yarn install
And if you don't already have it, install Conda for clean dependency management
curl -O https://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
bash Miniconda3-latest-MacOSX-x86_64.sh -b
rm Miniconda3-latest-MacOSX-x86_64.sh
echo '. ~/miniconda3/etc/profile.d/conda.sh' >> ~/.bash_profile
source ~/.bash_profile
- Install SLM Lab as pip module
conda create -n lab python=3.6 ipykernel -y
conda activate lab
conda env update -f environment.yml
Now it is ready for usage.
Hi @kengz. Thanks a lot for your kind reply; I will give a go to method 3 and see what happens.