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{
"name": "py312-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": true,
"categories": [
"science",
"math",
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2692
}
],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"swig-python",
"clang-17"
]
},
{
"type": "lib",
"ports": [
"py312-numpy",
"libsvm",
"py312-nibabel",
"py312-scipy",
"python312"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py-pymvpa"
]
}
]
}