{"name":"py27-pymvpa","portdir":"python/py-pymvpa","version":"2.6.5","license":"MIT","platforms":"darwin","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":false,"categories":["science","math","python"],"maintainers":[{"name":"stromnov","github":"stromnov","ports_count":2891}],"variants":["universal"],"dependencies":[{"type":"build","ports":["swig-python","clang-9.0"]},{"type":"lib","ports":["py27-nibabel","python27","py27-scipy","py27-numpy","libsvm"]}],"depends_on":[]}