Regression on 3droad (test)
0.101RMSEMATÉRN (BBMM)
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| MATÉRN (BBMM)n (Samples)=278319, d (Dimensions)=3, GPU Type=Tesla V100-SXM2-32GB, Feature Transformation=ECDF, Precision=Pnew2022.10 | 0.101 | — | 0.909 | 126.37 | |
| BTEn (Samples)=278319, d (Dimensions)=3, GPU Type=Tesla V100-SXM2-16GB, Feature Transformation=ECDF, Precision=Pnew2022.10 | 0.104 | — | -1.285 | 14.2 | |
| BTn (Samples)=278319, d (Dimensions)=3, GPU Type=Tesla V100-SXM2-16GB, Feature Transformation=ECDF, Precision=Pnew2022.10 | 0.105 | — | -1.267 | — | |
| Iterative GPlengthscale=shared across dimensions, Time (hours)=7.06, GPUs=82022.06 | 0.106 | — | — | — | |
| Iterative GPlengthscale=per dimension, Time (hours)=1, GPUs=82022.06 | 0.11 | 1.239 | — | — | |
| SGPRInducing Points=10000, Time (hours)=41.83, GPUs=12022.06 | 0.17 | -0.322 | — | — | |
| SGPRInducing Points=8000, Time (hours)=28.21, GPUs=12022.06 | 0.176 | -0.302 | — | — | |
| SGPRInducing Points=5000, Time (hours)=11.33, GPUs=12022.06 | 0.19 | -0.228 | — | — | |
| SGPRInducing Points=1000, Time (hours)=1.11, GPUs=12022.06 | 0.285 | -0.173 | — | — | |
| SVGPn (Samples)=278319, d (Dimensions)=3, GPU Type=Tesla V100-SXM2-32GB, Feature Transformation=ECDF, Precision=Pnew2022.10 | 0.481 | — | 0.697 | 34.09 | |
| SGPRn (Samples)=278319, d (Dimensions)=3, GPU Type=Tesla V100-SXM2-32GB, Feature Transformation=ECDF, Precision=Pnew2022.10 | 0.661 | — | 0.943 | 12.01 |