It removes the actual numbers!

The prediction of a vector from other input vectors does not return a number directly... you would have to apply it to the grid at the next time step and see where it terminates. You already have the origin from the last draw.

In this way, the vector paths can tell the story.

Picking a prediction would be a modular solution, so different approaches would not need a whole new script.

The key to this one is visualization... which is why this is taking so long to plan.

Like every other system, this has 2 trajectories...

1. Finally something that works (still have not found)

2. Big nothing burger (all previous attempts)

So we must look to what can be gained by the time investment...

1. Python GUI interface

2. Graphs and graphics in general

3. New applications of statistics and other math

4. New data structures (that are still being figured out)

5. The DIRECT application of both unsupervised and supervised machine learning algorithms in the discovery phase.

Why hopeful? Because by removing the numbers for analysis, patterns may emerge that were missed on previous attempts.