osedao
osedao OP t1_j9wa0a1 wrote
Reply to comment by Additional-Escape498 in [D] Is validation set necessary for non-neural network models, too? by osedao
Thanks for the recommendations! I’ll try this
osedao OP t1_j9v4ip5 wrote
Reply to comment by Maximum-Ruin-9590 in [D] Is validation set necessary for non-neural network models, too? by osedao
Yeah that make sense to test models with folds never seen. But I have a small dataset, I’m trying to find the best practice
osedao t1_isk832i wrote
Reply to comment by jsonathan in [P] I built densify, a data augmentation and visualization tool for point clouds by jsonathan
>Here's the Github repository.
Hi, thanks for your contribution and sharing this. I have a question regarding if we can use this for labeled data. Have you found a chance to look into this, or seen similar method?
osedao OP t1_j9waf9t wrote
Reply to comment by Kroutoner in [D] Is validation set necessary for non-neural network models, too? by osedao
Could this approach be enough to justify not using validation: i have 8 features and if i have equal/same distributions of each of these features in both training and test set, would this be enough?