Early Stage Development

Detailed Description

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 , where is a symmetric, positive-definite matrix and and 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.
	Nearest Neighbors