PHOTONAI -- A Python API for Rapid Machine Learning Model Development

PHOTONAI is a high-level Python API designed to simplify and accelerate machine learning model development. It offers a unified framework to access existing machine learning implementations and integrate user-designed algorithms. PHOTONAI extends existing solutions with novel pipeline construction functionality that allows for a more complex design of data streams, feature combinations, and algorithm selection. In addition, the repetitive training, hyperparameter optimization and evaluation workflow is fully automatized, enabling rapid prototyping and ensuring an unbiased estimate of predictive performance. Metrics and results can be conveniently visualized using the PHOTONAI Explorer and predictive models are shareable in a standardized format for further external validation or application. A growing add-on eco-system allows researchers to offer data-modality specific algorithms to the community and enhance machine learning in the areas of life science. Source code is publicly available on Github, while examples and documentation can be found at www.photon-ai.com.