How do I setup Allie on a Windows Computer?

Windows 10

recommended installation (Docker)

You can run Allie in a Docker container fairly easily (10-11GB container run on top of Linux/Ubuntu):

git clone --recurse-submodules -j8 git@github.com:jim-schwoebel/allie.git
cd allie 
docker build -t allie_image .
docker run -it --entrypoint=/bin/bash allie_image
cd ..

You will then have access to the docker container to use Allie's folder structure. You can then run tests @

cd tests
python3 test.py

Note you can quickly download datasets from AWS buckets and train machine learning models from there.

alternative

Note that there are many incomptible Python libraries with Windows, so I encourage you to instead run Allie in a Docker container with Ubuntu or on Windows Subsystem for Linux.

If you still want to try to use Allie with Windows, you can do so below.

First, install various dependencies:

Download Microsoft Visual C++ (https://www.visualstudio.com/thank-you-downloading-visual-studio/?sku=BuildTools&rel=15).
Download SWIG and compile locally as an environment variable (http://www.swig.org/download.html).
Follow instructions to setup Tensorflow on Windows.

Now clone Allie and run the setup.py script:

git clone --recurse-submodules -j8 git@github.com:jim-schwoebel/allie.git
git checkout windows
cd allie 
python3 -m pip install --user virtualenv
python3 -m venv env
python3 setup.py

Note that there are some functions that are limited (e.g. featurization / modeling scripts) due to lack of Windows compatibility.

jim-schwoebel / allie