Create a random one-hot matrix of shape (`n_examples`, `n_classes`)
(n_examples, n_classes)
| 61 | |
| 62 | |
| 63 | def random_one_hot_matrix(n_examples, n_classes): |
| 64 | """Create a random one-hot matrix of shape (`n_examples`, `n_classes`)""" |
| 65 | X = np.eye(n_classes) |
| 66 | X = X[np.random.choice(n_classes, n_examples)] |
| 67 | return X |
| 68 | |
| 69 | |
| 70 | def random_stochastic_matrix(n_examples, n_classes): |
no outgoing calls
no test coverage detected