Installation¶
Prerequisites:
- Python 2.7, 3.5 or 3.6
- pip
Installing all dependencies in sparate conda environment:
conda env create -f environment.yml
source activate mcfly
To install the package, run in the project directory:
pip install .
Installing on Windows¶
When installing on Windows, there are a few things to take into consideration. The preferred (in other words: easiest) way to install Keras and mcfly is as follows:
- Use Anaconda
- Use Python 3.x, because tensorflow is not available on Windows for Python 2.7
- Install numpy and scipy through the conda package manager (and not with pip)
- To install mcfly, run pip install mcfly in the cmd prompt.
- Loading and saving models can give problems on Windows, see https://github.com/NLeSC/mcfly-tutorial/issues/17
Visualization¶
We build a tool to visualize the configuration and performance of the models. The tool can be found on http://nlesc.github.io/mcfly/. To run the model visualization on your own computer, cd to the html directory and start up a python web server:
python -m http.server 8888 &
Navigate to http://localhost:8888/ in your browser to open the visualization. For a more elaborate description of the visualization see user manual.
