skbold - utilities and tools for machine learning on BOLD-fMRI data¶
The Python package skbold offers a set of tools and utilities for
machine learning analyses of functional MRI (BOLD-fMRI) data.
Instead of (largely) reinventing the wheel, this package builds upon an
existing machine learning framework in Python: scikit-learn.
The modules of skbold are applicable in several ‘stages’ of
typical pattern analyses (see image below), including pattern estimation,
data representation, pattern preprocessing, feature selection/extraction,
and model evaluation/feature visualization.
The documentation of skbold is split up into three sections:
Getting started¶
Examples¶