  Summary Brain Predictability toolbox (BPt) represents a unified framework of
machine learning (ML) tools designed to work with both tabulated data (in
particular brain, psychiatric, behavioral, and physiological variables) and
neuroimaging specific derived data (e.g., brain volumes and surfaces). This
package is suitable for investigating a wide range of different neuroimaging
based ML questions, in particular, those queried from large human datasets.
  Availability and Implementation BPt has been developed as an open-source
Python 3.6+ package hosted at https://github.com/sahahn/BPt under MIT License,
with documentation provided at https://bpt.readthedocs.io/en/latest/, and
continues to be actively developed. The project can be downloaded through the
github link provided. A web GUI interface based on the same code is currently
under development and can be set up through docker with instructions at
https://github.com/sahahn/BPt_app.
  Contact Please contact Sage Hahn at<EMAIL_ADDRESS>