{"name":"py-pymvpa","portdir":"python/py-pymvpa","version":"2.6.5","license":"MIT","platforms":"any","epoch":0,"replaced_by":null,"homepage":"http://www.pymvpa.org","description":"MultiVariate Pattern Analysis (MVPA) in Python.","long_description":"PyMVPA is a Python package intended to ease statistical learning analyses of large datasets. It offers an extensible framework with a high-level interface to a broad range of algorithms for classification, regression, feature selection, data import and export. While it is not limited to the neuroimaging domain, it is eminently suited for such datasets.","active":true,"categories":["science","math","python"],"maintainers":[{"name":"stromnov","github":"stromnov","ports_count":2896}],"variants":[],"dependencies":[{"type":"build","ports":["clang-18"]},{"type":"lib","ports":["py312-pymvpa"]}],"depends_on":[]}