Related Issues (20)
- `tensorflow` -- disable eager mode by default [colab related]
- `model_log_dir` -- is actually about hidden states rather then logging; suppose to be updated
- `predict` -- provide hidden states, including input related [feature request]
- `frames` -- has limitation in terms of the application for sentiment analysis only HOT 1
- `data` -- provide for RUS/ENG HOT 1
- readers -- provide `target_extension` as a base reader function.
- Support input terms instead of text [OpenNRE backlog] HOT 1
- Embedding -- provide formatter for w2v text files
- Optional parameters such as pos, frames, entities
- Reference Section -- provide reference onto github project in `bibtex` format
- `VocabRepositoryUtils` -- `numpy` API considers `#` by default in vocabulary on load
- English embedding adoptation
- `NetworksTrainingPipelineItem` -- `load` parameter is not used
- Make automatic converter from embedding in `model.txt` format (quickstart)
- Embedding -- considering `-1` for missed value is not a solution in general
- Better user experience [Personal Experience backlog]
- Missing values of the embedding and vocabulary
- Predict -- Hidden states dir should be inside of the related model
- `test_samples_iter` -- test failed
- infer -- incorrect path for loading saved `tf` model
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