Open Access
Table A.2
Overview of the GP model’s components.
| Property | Value |
|---|---|
| GP model type | Exact, Hadamard Multitask |
| Feature extractor | CNN |
| Feature normalization | Scale to bounds (-1, 1) |
| Likelihood function | Gaussian likelihood |
| Mean function | Constant |
| Covariance function/kernel | Matern kernel (smoothness |
| 0.5) | |
| Task covariance function/kernel | Index kernel (rank 3) |
| Optimizer | Adam |
| Learning rate | 0.1 |
| Loss function | Marginal log-likelihood |
| Training iterations | 150 |
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