Introduction

EYE is a tool to help people apply machine learning and statistical techniques. It enables people to use advanced techniques without needing to master the underlying algorithms. Instead EYE has a simple interface where the user presents the raw data, and then applies EYE to perform the desired analysis. Functions include:

• BlackBox: searches for a model that accurately explains the data.
• Optimize: finds a set of inputs that will optimize a given criterion, for instance to maximize the sum of the outputs.
• Predict: predicts future behavior from past data.

See Section 6 for a compendium of EYE functions.

This document explains how to use EYE. If you are in a hurry to begin, you need only read section 1.1 and section 2. Later sections describe the online help facility, additional user interface tools, and the advanced interface to EYE.

To illustrate the use of EYE, we consider the example of a gardener trying to grow prize-winning flowers.

• Tutorial Example: The Gardener