Skip to content

HTTPS clone URL

Subversion checkout URL

You can clone with
or
.
Download ZIP
Fetching contributors…

Cannot retrieve contributors at this time

128 lines (86 sloc) 3.648 kB
/**
@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_mlogreg Multinomial 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_cox_prop_hazards Cox-Proportional Hazards Regression
@ingroup grp_suplearn
@defgroup grp_crf Conditional Random Field
@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_kmeans_new k-Means Clustering (new implementation)
@ingroup grp_unsuplearn
@defgroup grp_lmf Low-rank Matrix Factorization
@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_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
*/
Jump to Line
Something went wrong with that request. Please try again.