Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
https://en.wikipedia.org/wiki/List_of_datasets_for_machine-learning_research
https://www.nist.gov/
VOC-2012
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
https://www.kaggle.com/c/home-credit-default-risk/discussion/61613
https://studylib.net/doc/18339870/yetirank--everybody-lies
http://proceedings.mlr.press/v14/gulin11a/gulin11a.pdf
| Model | Architecture | Ranking Category | SOTA | Comments | Paper |
|---|---|---|---|---|---|
| RankNet | NN … |
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Microsoft Learning to Rank Datasets - MSLR-WEB10K - MSLR-WEB30K
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Tools for (approximately) visualizing the architures of existing neural networks or for visualizing the traing process (training/validation loss/accuracy, activation, etc.) are extremely helpful! TensorBoard is one of the best …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Cross validation in scikit-learn supports pipeline in addition to vanilla models. Please refer to Cross Validation Pipeline for more details.
Label encoding is an easy way to convert a categorical response …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
This means that the input data and the model are on different …