API for htso/AHA
Unsupervised Feature Learning with Single-Layer Networks
| Global functions | |
|---|---|
| AHA | Man page |
| AHA-package | Man page |
| VWSparse.write | Source code |
| applyScaling2Mat | Source code |
| calc_accuracy | Source code |
| create_RBM_learner | Source code |
| create_kmeans_learner | Source code |
| extract_features | Source code |
| getCifar10File | Source code |
| hard.Kmeans | Source code |
| normize | Source code |
| normize.against | Source code |
| plotCifar | Source code |
| predict_svm | Source code |
| prepare_Cifar10 | Source code |
| random.cifar.subpatches | Source code |
| readCifar10 | Source code |
| train_by_kmeans | Source code |
| triangle.Kmeans0 | Source code |
| triangle.Kmeans1 | Source code |
| whiten | Source code |
| whiten.against | Source code |
