Deeppavlov

Latest version: v1.7.0

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1.1.1

Major Features and Improvements
- **Multitask learning** implementation ([1627](https://github.com/deeppavlov/DeepPavlov/pull/1627)).

1.1.0

Breaking Changes
Removed Models
- FAQ models, [tfidf_vectorizer](https://github.com/deeppavlov/DeepPavlov/blob/1.0.2/deeppavlov/configs/embedder/tfidf_vectorizer.json), [tfidf_logreg_autofaq_psearch](https://github.com/deeppavlov/DeepPavlov/blob/1.0.2/deeppavlov/configs/paramsearch/tfidf_logreg_autofaq_psearch.json) and [cv_tfidf_autofaq](https://github.com/deeppavlov/DeepPavlov/blob/1.0.2/deeppavlov/configs/cv/cv_tfidf_autofaq.json) ([#1608](https://github.com/deeppavlov/DeepPavlov/pull/1608))

Removed Components
- [ru_tokenizer](https://github.com/deeppavlov/DeepPavlov/blob/1.0.2/deeppavlov/models/tokenizers/ru_tokenizer.py) ([#1608](https://github.com/deeppavlov/DeepPavlov/pull/1608))

Major Features and Improvements
- **Python 3.10** support ([1614](https://github.com/deeppavlov/DeepPavlov/pull/1614)).
- Few-shot classification [example](https://github.com/deeppavlov/DeepPavlov/blob/1.1.0/deeppavlov/configs/faq/fasttext_logreg.json) and few-shot sampling support added to [basic_classification_iterator](https://github.com/deeppavlov/DeepPavlov/blob/1.1.0/deeppavlov/dataset_iterators/basic_classification_iterator.py) ([#1608](https://github.com/deeppavlov/DeepPavlov/pull/1608)).

Other Changes
- `pymorphy2` is replaced with `spacy` in [entity_linker](https://github.com/deeppavlov/DeepPavlov/blob/1.1.0/deeppavlov/models/entity_extraction/entity_linking.py#L34), [ru_adj_to_noun](https://github.com/deeppavlov/DeepPavlov/blob/1.1.0/deeppavlov/models/kbqa/tree_to_sparql.py#L38) and [answer_types_extractor](https://github.com/deeppavlov/DeepPavlov/blob/1.1.0/deeppavlov/models/kbqa/type_define.py#L26) components ([1618](https://github.com/deeppavlov/DeepPavlov/pull/1618)).

1.0.2

Fixes
- Fixed kbqa_cq_ru on Python 3.8/3.9 ([1609](https://github.com/deeppavlov/DeepPavlov/pull/1609))

Documentation
- Added python inference pipelines example ([1613](https://github.com/deeppavlov/DeepPavlov/pull/1613)).

Other changes
- Updated model files upload script ([1607](https://github.com/deeppavlov/DeepPavlov/pull/1607)).

1.0.1

Major Features and Improvements
- Added `-i`/`--install` CLI argument and `install` argument to `deeppavlov.build_model`, `deeppavlov.evaluate_model`, `deeppavlov.train_model` to install model requirements before interaction with model ([1603](https://github.com/deeppavlov/DeepPavlov/pull/1603)).

Bug Fixes and Other Changes
- Reduced library verbosity: redundant logging `info` messages replaced with `debug` ones. Set `nltk.download` to quiet mode. ([1601](https://github.com/deeppavlov/DeepPavlov/pull/1601)).
- Replaced `docs/features/models/classifiers.rst` with `docs/features/models/classification.ipynb`. Fixed minor typos in documentation, removed `skill` concept ([1600](https://github.com/deeppavlov/DeepPavlov/pull/1600)).
- Removed `/examples` from the README.md links ([1602](https://github.com/deeppavlov/DeepPavlov/pull/1602)).

1.0.0

- Added Python 3.8 and 3.9 support and library requirements are optimized in 1525 and 1578.
- Removed all TensorFlow components and default trainer replaced with `torch_trainer` in 1574.
- Added Russian SuperGLUE models and submission generation in 1577.
- Added NER case-agnostig config in 1570.
- Added external metrics support in 1546.
- Nested config overwriting mechanism in 1561.
- Refactoring of the training logging in 1572.
- KBQA models migrated to PyTorch in 1569.
- Classification models migrated to PyTorch in 1565.
- NER models migrated to PyTorch in 1545.
- Context question answering models migrated to PyTorch in 1539.
- Entity Linking migrated to PyTorch and reduced RAM and VRAM consumption in 1516.
- Added config deprecation mechanism in 1547.
- `torch_bert_ranker` now uses the same Hugging Face Transformers version as the rest of the components in 1532.
- Models and components removed in 1523, 1526, 1534, 1533, 1537, 1544, 1560, 1563, 1564, 1573.
- Fixed a problem with pre-trained BERT models by DeepPavlov in 1502. Resolves 1275 and 1390.
- Fixed en_core_web_sm load error during tests in 1524.
- Removed Telegram, MSBot Framework, Yandex Alice and Amazon Alexa connectors in 1548.
- Documentation updated in 1517, 1529.

1.0.0rc1

**Note**: DeepPavlov `1.0.0` is not released yet!

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