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File List
Here is a list of all documented files with brief descriptions:
o*array_ops.sql_inImplementation of array operations in SQL
o*assoc_rules.sql_inThe assoc_rules function computes association rules for a given set of data. The data is assumed to have two dimensions; items (between which we are trying to discover associations), and a transaction id. This tranaction id groups the items by event and could also be a user id, date, etc. depending on the context of the data. This function assumes the data is stored in two columns with one transaction id and one item per row
o*bayes.sql_inSQL functions for naive Bayes
o*c45.sql_inC4.5 APIs and main controller written in PL/PGSQL
o*clustered_variance.sql_in
o*compatibility.sql_inCompatibility SQL functions
o*conjugate_gradient.sql_inSQL function computing Conjugate Gradient
o*correlation.sql_inSQL functions for correlation computation
o*cox_prop_hazards.sql_inSQL functions for cox proportional hazards
o*crf.sql_inSQL functions for conditional random field
o*crf_data_loader.sql_inCreate database tables and import POS/NER training/testing data to the database
o*crf_feature_gen.sql_inSQL function for POS/NER feature extraction
o*cross_validation.sql_inSQL functions for cross validation
o*dense_linear_systems.sql_in
o*dt.sql_inCommon functions written in PL/PGSQL shared by C4.5 and RF
o*dt_preproc.sql_inFunctions used in C4.5 and random forest for data preprocessing
o*dt_utility.sql_inUtility functions widely used in C4.5 and random forest
o*elastic_net.sql_inSQL functions for elastic net regularization
o*hypothesis_tests.sql_inSQL functions for statistical hypothesis tests
o*kmeans.sql_inSet of functions for k-means clustering
o*lda.sql_inSQL functions for Latent Dirichlet Allocation
o*linalg.sql_inSQL functions for linear algebra
o*linear.sql_inSQL functions for linear regression
o*lmf.sql_inSQL functions for low-rank matrix factorization
o*logistic.sql_inSQL functions for logistic regression
o*marginal.sql_inSQL functions for linear regression
o*matrix_op.sql_in
o*multilogistic.sql_inSQL functions for multinomial logistic regression
o*online_sv.sql_inSQL functions for support vector machines
o*pca.sql_inPrincipal Component Analysis
o*pca_project.sql_inPrincipal Component Analysis Projection
o*prob.sql_inSQL functions for evaluating probability functions
o*profile.sql_inSQL function for single-pass table profiles
o*quantile.sql_inSQL function for Quantile
o*rf.sql_inRandom forest APIs and main control logic written in PL/PGSQL
o*robust.sql_inSQL functions for linear regression
o*sample.sql_inSQL functions for random sampling
o*sketch.sql_inSQL functions for sketch-based approximations of descriptive statistics
o*sparse_linear_systems.sql_in
o*summary.sql_inSummary function for descriptive statistics
o*svd.sql_inSingular Value Decomposition
o*svdmf.sql_inSQL functions for SVD Matrix Factorization
o*svec.sql_inSQL type definitions and functions for sparse vector data type svec
o*utilities.sql_inSQL functions for carrying out routine tasks
o*utils_regularization.sql_in
\*viterbi.sql_inConcatenate a set of input values into arrays to feed into viterbi c function and create a human readable view of the output