Timeline for combining gridsearch with regression : how to estimate variance of residuals
Current License: CC BY-SA 4.0
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| Mar 4, 2019 at 8:27 | comment | added | felix | Thanks for your answer. I'm not sure however if we can really consider the image processing parameters as hyperparameters, because we are learning them too (it's not like choosing an arbitrary value as for the number of clusters in k-means for exemple). | |
| Mar 1, 2019 at 12:58 | comment | added | Victor Oliveira | Just to complement: I forgot to mention, but as you have such a few instances to train your model, it is good to try using bagging to test your performance as well. | |
| Mar 1, 2019 at 12:55 | history | answered | Victor Oliveira | CC BY-SA 4.0 |