PHOTONAI – A high level python API for designing and optimizing machine learning pipelines
PHOTONAI is a high level python API for designing and optimizing machine learning pipelines.
We’ve created a system in which you can easily select and combine both pre-processing and learning algorithms from
state-of-the-art machine learning toolboxes,
and arrange them in simple or parallel pipeline data streams.
In addition, you can parametrize your training and testing
workflow choosing cross-validation schemes, performance metrics and hyperparameter
optimization metrics from a list of pre-registered options.
Importantly, you can integrate custom solutions into your data processing pipeline,
but also for any part of the model training and evaluation process including custom
hyperparameter optimization strategies.
For a detailed description,
visit our website and read the documentation
or you can read our paper in PLOS ONE
Getting Started
In order to use PHOTONAI you only need to have your favourite Python IDE ready.
Then install the latest