Embedding Kit

Methods for data normalization, embedding, synthesis and transformation

Installation

pip install embkit

Training a model

embkit model train-vae ./experiments/tcga/tumor.normalized.tsv --epochs 120

Development

To install the library locally use:
pip install -e .
python setup.py build
python setup.py install

To run tests use:

coverage run --source=embkit -m unittest discover -s tests

To generate a coverage report use:

coverage html

To open the coverage report in a browser, run:

MacOS:

open htmlcov/index.html

Linux:

xdg-open htmlcov/index.html

Windows:

start htmlcov\index.html