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Make the clustering algorithms to select the best model on the validation set during training.
2. Motivation
Currently we select the best clustering model according to the training loss but this may lead to overfitting. Although clustering models are unsupervised, users may want to select the best model on a given validation set during training.
3. Your contribution
Will make a PR to accomplish this.
The text was updated successfully, but these errors were encountered:
1. Feature description
Make the clustering algorithms to select the best model on the validation set during training.
2. Motivation
Currently we select the best clustering model according to the training loss but this may lead to overfitting. Although clustering models are unsupervised, users may want to select the best model on a given validation set during training.
3. Your contribution
Will make a PR to accomplish this.
The text was updated successfully, but these errors were encountered: