Related Issues (20)
- PZhou and ZYang configs -- using different `BasicLSTM` cells by default.
- PZhou and ZYang attentions -- clarify that `output` is actually a `rnn_output` which reduces the time series
- RCNN and BiLSTM with Z-Yang Self-Attention -- Attention Hidden sides might be a part of the config
- RNN, RCNN and BiLSTM actually has `BasicLSTM` cell by default [Confuses] HOT 1
- Tutorial on how we embed model and attention
- Examples has wrong entities annotations
- Quickstart API -- provide support for custom models [Experience feedback]
- `id` field is very annoing in usage when bagging is disabled [Feedback] HOT 1
- `BasePredictProvider` -- allow output customization [codalab and user experience]
- `LinkedSamplesStorageView` -- what in case of the bags and shuffled state?
- Saving ids for hidden states
- Sample ID -- considering `int` type as well
- `PandasCsvReader` -- consider any compression if exists by default
- `s_ind` and `t_ind` might be optional as well
- JSONL data in examples -- reduced input jsonl for a simplicity purposes.
- Colab experience -- watch output in `csv` instead of `csv.gz`
- Provide all the parameters could be modified by default at common config.
- Vasvani attention support
- `tsv.gz` fix -- make it as a parameter so you can setup what you want
- Consider `SentencePiece` usage for the case of autoembedded terms
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