/** @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: Please refer to the Read-Me file for information about incorporated third-party material. License information regarding MADlib and included third-party libraries can be found inside the license directory. @defgroup grp_regml Regression Models @{A collection of methods for modeling conditional expectation of a response variable. @} @defgroup grp_linreg Linear Regression @ingroup grp_regml @defgroup grp_logreg Logistic Regression @ingroup grp_regml @defgroup grp_multinom Multinomial Regression @ingroup grp_regml @defgroup grp_ordinal Ordinal Regression @ingroup grp_regml @defgroup grp_elasticnet Elastic Net Regularization @ingroup grp_regml @defgroup grp_cox_prop_hazards Cox-Proportional Hazards Regression @ingroup grp_regml @defgroup grp_robust Robust Variance @ingroup grp_regml @defgroup grp_clustered_errors Clustered Variance @ingroup grp_regml @defgroup grp_marginal Marginal Effects @ingroup grp_regml @defgroup grp_glm Generalized Linear Models @ingroup grp_regml @defgroup grp_validation Cross Validation @{A collection of routines useful for Cross-validation. @} @defgroup grp_linear_solver Linear Systems @{A collection of methods that implement solutions for systems of consistent linear equations. @} @defgroup grp_dense_linear_solver Dense Linear Systems @ingroup grp_linear_solver @defgroup grp_sparse_linear_solver Sparse Linear Systems @ingroup grp_linear_solver @defgroup grp_matrix_factorization Matrix Factorization @{A collection of Matrix Factorization methods @} @defgroup grp_lmf Low-rank Matrix Factorization @ingroup grp_matrix_factorization @defgroup grp_svd Singular Value Decomposition @ingroup grp_matrix_factorization @defgroup grp_recursive_partitioning Tree Methods @{A collection of recursive partitioning (tree) methods. @} @defgroup grp_decision_tree Decision Tree @ingroup grp_recursive_partitioning @defgroup grp_random_forest Random Forest @ingroup grp_recursive_partitioning @defgroup grp_association_rules Association Rules @{A collection of methods used to uncover interesting patterns in transactional datasets. @} @defgroup grp_assoc_rules Apriori Algorithm @ingroup grp_association_rules @defgroup grp_clustering Clustering @{A collection of methods for clustering data@} @defgroup grp_kmeans k-Means Clustering @ingroup grp_clustering @defgroup grp_topic_modelling Topic Modelling @{A collection of methods to uncover abstract topics in a document corpus @} @defgroup grp_lda Latent Dirichlet Allocation @ingroup grp_topic_modelling @defgroup grp_text_analysis Text Analysis @{A collection of methods to find patterns in textual data. @} @defgroup grp_crf Conditional Random Field @ingroup grp_text_analysis @defgroup grp_desc_stats Descriptive Statistics @{A collection of methods to compute descriptive statistics of the dataset @} @defgroup grp_summary Summary @ingroup grp_desc_stats @defgroup grp_correlation Pearson's Correlation @ingroup grp_desc_stats @defgroup grp_stats Inferential Statistics @{A collection of methods to compute inferential statistics on a dataset.@} @defgroup grp_stats_tests Hypothesis Tests @ingroup grp_stats @defgroup grp_support Support Modules @{A collection of methods commonly used in conjunction with other MADlib routines. @} @defgroup grp_array Array Operations @ingroup grp_support @defgroup grp_svec Sparse Vectors @ingroup grp_support @defgroup grp_prob Probability Functions @ingroup grp_support @defgroup grp_data_prep Data Preparation @ingroup grp_support @defgroup grp_pmml PMML Export @ingroup grp_support @defgroup grp_pca Dimensionality Reduction @{A collection of methods for dimensionality reduction. @} @defgroup grp_pca_train Principal Component Analysis @ingroup grp_pca @defgroup grp_pca_project Principal Component Projection @ingroup grp_pca @defgroup grp_tsa Time Series Analysis @{A collection of methods to analyze time series data. @} @defgroup grp_arima ARIMA @ingroup grp_tsa @defgroup grp_early_stage Early Stage Development @{A collection of implementations which are in early stage of development. There may be some issues that will be addressed in a future version. Interface and implementation are subject to change. @} @defgroup grp_bayes Naive Bayes Classification @ingroup grp_early_stage @defgroup grp_kernmach Support Vector Machines @ingroup grp_early_stage @defgroup grp_sketches Cardinality Estimators @ingroup grp_early_stage @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_cg Conjugate Gradient @ingroup grp_early_stage @defgroup grp_sample Random Sampling @ingroup grp_early_stage @defgroup grp_linalg Linear Algebra Operations @ingroup grp_early_stage @defgroup grp_utilities DB Administrator Utilities @ingroup grp_early_stage @defgroup grp_deprecated Deprecated Modules @{A collection of deprecated modules. @} @defgroup grp_profile Profile @ingroup grp_deprecated @defgroup grp_svdmf Matrix Factorization @ingroup grp_deprecated @defgroup grp_quantile Quantile @ingroup grp_deprecated @defgroup grp_mlogreg Multinomial Logistic Regression @ingroup grp_deprecated @defgroup grp_dectree Decision Tree (old C4.5 implementation) @ingroup grp_deprecated @defgroup grp_rf Random Forest (old implementation) @ingroup grp_deprecated */