| /** |
| @mainpage |
| MADlib is an open-source library for scalable in-database analytics. It provides data-parallel implementations of mathematical, statistical and machine learning methods for structured and unstructured data. |
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| The MADlib mission: to foster widespread development of scalable analytic skills, by harnessing efforts from commercial practice, academic research, and open-source development. |
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| MADlib front page: http://madlib.net/ |
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| @defgroup grp_modeling Data Modeling |
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| @defgroup grp_suplearn Supervised Learning |
| @ingroup grp_modeling |
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| @defgroup grp_bayes Naive Bayes Classification |
| @ingroup grp_suplearn |
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| @defgroup grp_linreg (Multi-)Linear Regression |
| @ingroup grp_suplearn |
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| @defgroup grp_logreg Logistic Regression |
| @ingroup grp_suplearn |
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| @defgroup grp_kernmach Support Vector Machines |
| @ingroup grp_suplearn |
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| @defgroup grp_unsuplearn Unsupervised Learning |
| @ingroup grp_modeling |
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| @defgroup grp_kmeans k-Means Clustering |
| @ingroup grp_unsuplearn |
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| @defgroup grp_svdmf SVD Matrix Factorisation |
| @ingroup grp_unsuplearn |
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| @defgroup grp_desc_stats Descriptive Statistics |
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| @defgroup grp_sketches Sketch-based Estimators |
| @ingroup grp_desc_stats |
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| @defgroup grp_countmin CountMin (Cormode-Muthukrishnan) |
| @ingroup grp_sketches |
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| @defgroup grp_fmsketch FM (Flajolet-Martin) |
| @ingroup grp_sketches |
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| @defgroup grp_mfvsketch MFV (Most Frequent Values) |
| @ingroup grp_sketches |
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| @defgroup grp_profile Profile |
| @ingroup grp_desc_stats |
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| @defgroup grp_quantile Quantile |
| @ingroup grp_desc_stats |
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| @defgroup grp_support Support Modules |
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| @defgroup grp_svec Sparse Vectors |
| @ingroup grp_support |
| */ |