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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": []
}