Releases: deeppavlov/DeepPavlov
Releases · deeppavlov/DeepPavlov
Release 1.6.0
Release 1.5.0
Release 1.4.0
Major Features and Improvements
- Models documentation brought to a uniform format: 1. Introduction to the task. 2. Get started with the model. 3. Models list. 4. Use the model for prediction. 5. Customize the model. rst docs converted in ipynb format. (#1644).
Bug Fixes and Other Changes
Release 1.3.0
Breaking Changes
- Removed
model_name
parameter fromTorchModel
and its derived classes. Now model should be initialized in component's__init__
method (#1617). - Removed
deeppavlov.core.models.lr_scheduled_model
(#1617). TorchModel.__init__
now has one mandatory parameter -model
(#1617).
Major Features and Improvements
- Few-Shot Text Classification Model (#1630).
- GLUE and SuperGLUE models major update (#1647).
- New components and configs for syntax parser and morphotagger (#1641).
- Improved quality and reduce RAM consumption of ODQA models (#1635).
- Removed code duplication and excessive parameters from classes derived from
TorchModel
(#1617).
Bug Fixes and Other Changes
Release 1.2.0
Breaking Changes
- Removed RabbitMQ connector (#1631).
- Removed overrides decorator (#1631).
Major Features and Improvements
- Improvement of models for question answering over knowledge graphs (#1598).
- GLUE models update (#1645).
Bug Fixes and Other Changes
- Fix the Russian SuperGLUE certificates bug by loading the datasets from DeepPavlov servers (#1633).
- General requirements update (#1631, #1643).
- Fixed CRF save in torch_transformers_sequence_tagger (#1637).
- Fixes in tests (#1640).
Release 1.1.1
Major Features and Improvements
- Multitask learning implementation (#1627).
Release 1.1.0
Breaking Changes
Removed Models
- FAQ models, tfidf_vectorizer, tfidf_logreg_autofaq_psearch and cv_tfidf_autofaq (#1608)
Removed Components
Major Features and Improvements
- Python 3.10 support (#1614).
- Few-shot classification example and few-shot sampling support added to basic_classification_iterator (#1608).
Other Changes
pymorphy2
is replaced withspacy
in entity_linker, ru_adj_to_noun and answer_types_extractor components (#1618).
Release 1.0.2
Release 1.0.1
Major Features and Improvements
- Added
-i
/--install
CLI argument andinstall
argument todeeppavlov.build_model
,deeppavlov.evaluate_model
,deeppavlov.train_model
to install model requirements before interaction with model (#1603).
Bug Fixes and Other Changes
- Reduced library verbosity: redundant logging
info
messages replaced withdebug
ones. Setnltk.download
to quiet mode. (#1601). - Replaced
docs/features/models/classifiers.rst
withdocs/features/models/classification.ipynb
. Fixed minor typos in documentation, removedskill
concept (#1600). - Removed
/examples
from the README.md links (#1602).
Release 1.0.0
Breaking Changes
- Changed
riseapi
mode response format (#1585). - Removed support for TensorFlow v1.x: removed all TF-based components, removed TF mentions from documentation, default train class replaced with
torch_trainer
(#1574). - TensorFlow-based models were replaced with the PyTorch-based ones, some models were renamed, various models and components were removed.
- Replaced Models:
- Removed Models
- Classifiers, Doc Retrieval, Go-Bot, Neural Morphological Tagging, NER, ODQA, Ranking, Spelling Correction, Context Question Answering (#1523)
- ASR, TTS (#1526)
- ELMO (#1533)
- Chinese Context Question Answering (#1534)
- Ranking Models (#1537)
- Go-Bot (#1544)
- KBQA, Multitask BERT (#1560)
- Intent Catcher (#1564)
- Morpho/Syntax Models (#1573)
- Removed Components
- Removed serialization mechanism
Major Features and Improvements
- Python 3.8/3.9 support (#1525).
- Added nested configs overwriting mechanism (#1561).
- Added case-agnostic distil NER for DREAM (#1570).
- Added DeepPavlov Topics Classifier model (#1584).
- Added Russian SuperGLUE models (#1577).
- Added external metrics support (#1546).
- Added Jupyter Notebook support to documentation (#1592).
Bug Fixes and Other Changes
- Requirements updated (#1578).
- Models deprecation mechanism (#1547).
- Uploaded DeepPavlov BERT models with MLM & NSP heads parameters (#1502).
- Fixed en_core_web_sm loading error (#1524)
- Fixed NER models table view (#1529)
- Removed special version of Transformers library for certain components (#1532)
- Fixed tests (#1543)
- Updated library output during model training (#1572)
- Fixed ConnectionResetError handling in simple_download (#1586)
- Minor fixes in KBQA models (#1591)
- Added iterations count and speed output during training (#1593)
- Fixed
datasets
version (#1596)