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{
"name": "gibbslda",
"portdir": "math/gibbslda",
"version": "0.2",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "http://gibbslda.sourceforge.net/",
"description": "a C/C++ implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling",
"long_description": "GibbsLDA++ is a C/C++ implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling technique for parameter estimation and inference. It is very fast and is designed to analyze hidden/latent topic structures of large-scale datasets including very large collections of text/Web documents.",
"active": true,
"categories": [
"math"
],
"maintainers": [],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-9.0"
]
}
],
"depends_on": []
}