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- #[HIKGP]
- [GPHIKClassifier]
- #optimization_method = "downhillsimplex"
- optimization_method = "none"
- parameter_upper_bound = 5.0
- ils_max_iterations = 500
- ils_verbose = true
- noise = 10.0
- verbose = true
- ils_min_residual = 1e-2
- learn_balanced = true
- [main]
- positive_class = 1
- # whether to use eriks folder (only works on dionysos)
- imageNetLocal = false
- # standard setting with one negative example for each category
- nneg = 50
- # with 20 iterations
- # This standard config should lead to ... classification performance
- # With quantization we get: 0.891481 (with only 100 bins :)
- # Additional quantization
- #[HIKGP]
- [GPHIKClassifier]
- use_quantization = true
- num_bins = 100
- [RegGaussianProcess]
- noise = 10.0
- optimize_parameters = false
- [Kernel]
- robust_cholesky = "static"
- rchol_noise_variance = 10.0
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