machine-learning

Machine learning for Project Cognoma

Machine learning for Project Cognoma

This repository hosts machine learning code and discussion (see Issues) for Project Cognoma.

Environment

This repository uses conda to manage its environment and install packages. If you don't have conda installed on your system, you can download it here. You can install the Python 2 or 3 version of Miniconda (or Anaconda), which determines the Python version of your root environment. Since we create a dedicated environment for this project, named cognoma-machine-learning whose explicit dependencies are specified in environment.yml, the version of your root environment will not be relevant.

With conda, you can create the cognoma-machine-learning environment by running the following from the root directory of this repository:

# Create or overwrite the cognoma-machine-learning conda environment
conda env create --quiet --force --file environment.yml

If environment.yml has changed since you created the environment, run the following update command:

conda env update --file environment.yml

Activate the environment by running source activate cognoma-machine-learning on Linux or OS X and activate cognoma-machine-learning on Windows. Once this environment is active in a terminal, run jupyter notebook to start a notebook server.

cognoml package

cognoml is a pip-installable python package that is under development to perform machine learning tasks for Project Cognoma. If you would like to use cognoml in this repository, first make sure the cognoma-machine-learning environment is activated, so cognoml is only installed for this environment. Then clone cognoml from GitHub, and install it by running the following command from cognoml's root directory:

pip install --editable .

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