skbold - utilities and tools for machine learning on BOLD-fMRI data

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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.

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The documentation of skbold is split up into three sections: