...menu

For the curious, GMBL stands for General Memory Based Learning, the machine learning approach that underpins the EYE code.

.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.

...this

Because EYE uses random numbers to make decisions such as which data should be used in the testset, the precise results will vary from one run to the next.

.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.

...box

The choice of a black box is a tip of the hat to the BlackBox function of EYE, which is designed to autonomously search for a good model for the data

.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.

...data

To be more exact: it searches for the function approximator that will give the best predictive accuracy when used on new data drawn from the same distribution as the data in the current training and test sets.

.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.

...data

When we say `best model' we mean the function approximator that will give the best predictive accuracy when used on new data drawn from the same distribution as the data in the current training and test sets.

.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.