| error(Column[], Column[], int, int) |   | 97% | | 58% | 5 | 7 | 0 | 9 | 0 | 1 |
| save(String) | | 86% | | n/a | 0 | 1 | 2 | 7 | 0 | 1 |
| euclideanDistance2(Column, Column) | | 97% | | 75% | 1 | 3 | 0 | 6 | 0 | 1 |
| euclideanDistance2(double[], double[]) | | 97% | | 75% | 1 | 3 | 0 | 6 | 0 | 1 |
| initializeProgressBar(int) | | 100% | | 100% | 0 | 2 | 0 | 5 | 0 | 1 |
| open(InputStream) | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| open(File) | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| train(Column[], Column[], double, int) | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| train(Column[], Column[], double, int, int, int) | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| gaussian(double, double) | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| error(Column[], Column[]) | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| NeuralNetwork(Random) | | 100% | | n/a | 0 | 1 | 0 | 3 | 0 | 1 |
| open(String) | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| NeuralNetwork() | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| setPlotter(Plotter) | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| setProgressBar(ProgressDisplay) | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| getPlotter() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getProgressBar() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getDefaultRandomGenerator() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |