Early Stage Development

Detailed Description

Implementations which are in an early stage of development. Interface and implementation are subject to change.

Modules
	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.
	k-Nearest Neighbors
	Finds k nearest data points to the given data point and outputs majority vote value of output classes for classification, and average value of target values for regression.
	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.