| /** |
| @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. |
| |
| The MADlib mission: to foster widespread development of scalable analytic skills, by harnessing efforts from commercial practice, academic research, and open-source development. |
| |
| Useful links: |
| <ul> |
| <li>MADlib project site http://madlib.net/</li> |
| <li>MADlib bug reporting site: http://jira.madlib.net/ and quick guide: https://github.com/madlib/madlib/wiki/Bug-reporting</li> |
| </ul> |
| |
| Please refer to the <a href="@DOXYGEN_README_FILE@">Read-Me</a> file for information |
| about incorporated third-party material. License information regarding MADlib |
| and included third-party libraries can be found inside the |
| <a href="@DOXYGEN_LICENSE_DIR@">license</a> directory. |
| |
| @defgroup grp_modeling Data Modeling |
| |
| @defgroup grp_suplearn Supervised Learning |
| @ingroup grp_modeling |
| |
| @defgroup grp_bayes Naive Bayes Classification |
| @ingroup grp_suplearn |
| |
| @defgroup grp_linreg Linear Regression |
| @ingroup grp_suplearn |
| |
| @defgroup grp_logreg Logistic Regression |
| @ingroup grp_suplearn |
| |
| @defgroup grp_dectree Decision Tree |
| @ingroup grp_suplearn |
| |
| @defgroup grp_rf Random Forest |
| @ingroup grp_suplearn |
| |
| @defgroup grp_kernmach Support Vector Machines |
| @ingroup grp_suplearn |
| |
| @defgroup grp_unsuplearn Unsupervised Learning |
| @ingroup grp_modeling |
| |
| @defgroup grp_assoc_rules Association Rules |
| @ingroup grp_unsuplearn |
| |
| @defgroup grp_kmeans k-Means Clustering |
| @ingroup grp_unsuplearn |
| |
| @defgroup grp_svdmf SVD Matrix Factorisation |
| @ingroup grp_unsuplearn |
| |
| @defgroup grp_plda Parallel Latent Dirichlet Allocation |
| @ingroup grp_unsuplearn |
| |
| @defgroup grp_desc_stats Descriptive Statistics |
| |
| @defgroup grp_sketches Sketch-based Estimators |
| @ingroup grp_desc_stats |
| |
| @defgroup grp_countmin CountMin (Cormode-Muthukrishnan) |
| @ingroup grp_sketches |
| |
| @defgroup grp_fmsketch FM (Flajolet-Martin) |
| @ingroup grp_sketches |
| |
| @defgroup grp_mfvsketch MFV (Most Frequent Values) |
| @ingroup grp_sketches |
| |
| @defgroup grp_profile Profile |
| @ingroup grp_desc_stats |
| |
| @defgroup grp_quantile Quantile |
| @ingroup grp_desc_stats |
| |
| @defgroup grp_stats Inferential Statistics |
| |
| @defgroup grp_stats_tests Hypothesis Tests |
| @ingroup grp_stats |
| |
| @defgroup grp_support Support Modules |
| |
| @defgroup grp_array Array Operations |
| @ingroup grp_support |
| |
| @defgroup grp_cg Conjugate Gradient |
| @ingroup grp_support |
| |
| @internal |
| @defgroup grp_linalg Linear-Algebra Operations |
| @ingroup grp_support |
| @endinternal |
| |
| @defgroup grp_svec Sparse Vectors |
| @ingroup grp_support |
| |
| @defgroup grp_prob Probability Functions |
| @ingroup grp_support |
| |
| @defgroup grp_textfex_viterbi Feature Extraction |
| @ingroup grp_support |
| |
| # @defgroup grp_sample Random Sampling |
| # @ingroup grp_support |
| |
| @defgroup grp_compatibiity Compatibility |
| @ingroup grp_support |
| |
| @defgroup grp_gp_compat Greenplum Compatibility |
| @ingroup grp_compatibiity |
| |
| @defgroup grp_utilities DB Administrator Utilities |
| @ingroup grp_support |
| |
| */ |