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.
I am going through the book and I love it; but I would like to use SLM Lab: since I need pythonnet I cannot use conda, have to use pip; furthermore I am under windows 10 (Pro). Any advice on how to install for Win?
Since my environment is provided by interoperability with F# (.NET) a virtual machine running Linux, under Windows, does not seem an option. Again, congrats for the book.
PS: I have installed Git for windows and can clone your repository: so I have accomplished the first step; but then I am stuck; also I use Python 3.7.6 64-bit and torch 1.4.0. Thanks