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A collection of functions for experimenting with and analysing data written in F#.

au.id.cxd.Math.

A collection of functions that provide a number of ways to explore numeric data. There are a number of algorithms for approximation and some experiments with class label prediction for supervised learning (mainly a decision tree algorithm and a logistic network).

au.id.cxd.Math.Text

A collection of functions for experimenting with free text. This includes a number of convenience functions for reading and tokening text. There are a couple of algorithms provided such as an implementation of naive bayes for text classification.

au.id.cxd.Math.UI

This is a user interface that provides some basic graphs for exploring data. Most of this is inspired by readings in various texts on visualising data. It provides a rough work flow that provides specific steps for exploring data. So far this workflow is fairly simple and remains incomplete. The steps implemented so far are:

1. Load data
2. Label attributes and assign data types.
3. Define class label.
4. Single Variable description for each attribute of the data set.
5. Dual Variable description available for pairs of the attributes in the data set.