Early Stage Development

Modules
	Naive Bayes Classification
	Constructs a classification model from a dataset where each attribute independently contributes to the probability that a data point belongs to a category.
	Decision Tree
	Generates a decision tree using the C4.5 algorithm.
	Random Forest
	Constructs a classification model that outputs the class most frequently chosen by many decision trees constructed from a training dataset.
	Support Vector Machines
	Generates support vector machines for classification, regression, and novelty detection.
	Conditional Random Field
	Constructs a Conditional Random Fields (CRF) model for labeling sequential data.
	CountMin (Cormode-Muthukrishnan)
	Implements Cormode-Mathukrishnan CountMin sketches on integer values as a user-defined aggregate.
	Profile
	Produces a "profile" of a table or view by running a predefined set of aggregates on each column.
	Quantile
	Computes a quantile value for a column in a table.
	Conjugate Gradient
	Finds the solution to the function \( \boldsymbol Ax = \boldsymbol b \), where \(A\) is a symmetric, positive-definite matrix and \(x\) and \( \boldsymbol b \) are vectors.
	Random Sampling
	Provides utility functions for sampling operations.
	Linear Algebra Operations
	Provides utility functions for basic linear algebra operations.
	DB Administrator Utilities
	Provides a collection of user-defined functions for performing common tasks in the database.

Detailed Description

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.