* initialize doc store with doc and label index
* change ipynb according to py for tutorial 5
* Add latest docstring and tutorial changes
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* Fix yet another self.device(s) typo
* Add typing to 'initialize_device_settings' to try prevent future issues
* Fix bug in Tutorial5
* Fix the same bug in the notebook
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* Files moved, imports all broken
* Fix most imports and docstrings into
* Fix the paths to the modules in the API docs
* Add latest docstring and tutorial changes
* Add a few pipelines that were lost in the inports
* Fix a bunch of mypy warnings
* Add latest docstring and tutorial changes
* Create a file_classifier module
* Add docs for file_classifier
* Fixed most circular imports, now the REST API can start
* Add latest docstring and tutorial changes
* Tackling more mypy issues
* Reintroduce from FARM and fix last mypy issues hopefully
* Re-enable old-style imports
* Fix some more import from the top-level package in an attempt to sort out circular imports
* Fix some imports in tests to new-style to prevent failed class equalities from breaking tests
* Change document_store into document_stores
* Update imports in tutorials
* Add latest docstring and tutorial changes
* Probably fixes summarizer tests
* Improve the old-style import allowing module imports (should work)
* Try to fix the docs
* Remove dedicated KnowledgeGraph page from autodocs
* Remove dedicated GraphRetriever page from autodocs
* Fix generate_docstrings.sh with an updated list of yaml files to look for
* Fix some more modules in the docs
* Fix the document stores docs too
* Fix a small issue on Tutorial14
* Add latest docstring and tutorial changes
* Add deprecation warning to old-style imports
* Remove stray folder and import Dict into dense.py
* Change import path for MLFlowLogger
* Add old loggers path to the import path aliases
* Fix debug output of convert_ipynb.py
* Fix circular import on BaseRetriever
* Missed one merge block
* re-run tutorial 5
* Fix imports in tutorial 5
* Re-enable squad_to_dpr CLI from the root package and move get_batches_from_generator into document_stores.base
* Add latest docstring and tutorial changes
* Fix typo in utils __init__
* Fix a few more imports
* Fix benchmarks too
* New-style imports in test_knowledge_graph
* Rollback setup.py
* Rollback squad_to_dpr too
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* Fix duplicate question in Reader.eval()
* Add duplicate question support in document store
* Support duplicate questions in retriever eval
* Update tutorial
* Rename key_tuple
* Change error message
* Add warning when more than 6 labels
* Allow for label grouping options
* Add support for aggregating by label meta
* Satisfy mypy
* Fix duplicate question in Reader.eval()
* Add duplicate question support in document store
* Support duplicate questions in retriever eval
* Update tutorial
* Rename key_tuple
* Change error message
* Add warning when more than 6 labels
* Allow for label grouping options
* Add support for aggregating by label meta
* Satisfy mypy
* Make label field flexible, add docstrings
* Satisfy mypy
* Fix failing tests
* Adjust docstring
* Fix tutorial
Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
* Adding ranker similar to retriever and reader
* Sort documents according to query-document similarity scores
* Reranking and model training runs for small example
* Added EvalRanker node
* Calculate recall@k in EvalRetriever and EvalRanker nodes
* Renaming EvalRetriever to EvalDocuments and EvalReader to EvalAnswers
* Added mean reciprocal rank as metric for EvalDocuments
* Fix bug that appeared when ranking documents with same score
* Remove commented code for unimplmented eval() of Ranker node
* Add documentation of k parameter in EvalDocuments
* Add Ranker docu and renaming top_k param
* Add aggregate labels obj, use in retriever eval function
* Change launch ES param
* Move aggregation from ES document store to base class
* Fix type annotations
