Early Stage Development

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.

Modules
	Cardinality Estimators
	A collection of methods to estimate the number of unique values contained in the data.
	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.
	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.
	Random Sampling
	Provides utility functions for sampling operations.
	Support Vector Machines
	Generates support vector machines for classification, regression, and novelty detection.