chore: bump version to 0.11.0

[percevalw]

Changelog

Added

• Support for a filesystem parameter in every edsnlp.data.read_* and edsnlp.data.write_* functions

• Pipes of a pipeline are now easily accessible with nlp.pipes.xxx instead of nlp.get_pipe("xxx")

• Support builtin Span attributes in converters span_attributes parameter, e.g.

  import edsnlp
  
  nlp = ...
  nlp.add_pipe("eds.sentences")
  
  data = edsnlp.data.from_xxx(...)
  data = data.map_pipeline(nlp)
  data.to_pandas(converters={"ents": {"span_attributes": ["sent.text", "start", "end"]}})

• Support assigning Brat AnnotatorNotes as span attributes: edsnlp.data.read_standoff(..., notes_as_span_attribute="cui")

• Support for mapping full batches in edsnlp.processing pipelines with map_batches lazy collection method:

  import edsnlp
  
  data = edsnlp.data.from_xxx(...)
  data = data.map_batches(lambda batch: do_something(batch))
  data.to_pandas()

• New data.map_gpu method to map a deep learning operation on some data and take advantage of edsnlp multi-gpu inference capabilities

• Added average precision computation in edsnlp span_classification scorer

• You can now add pipes to your pipeline by instantiating them directly, which comes with many advantages, such as auto-completion, introspection and type checking !

  import edsnlp, edsnlp.pipes as eds
  
  nlp = edsnlp.blank("eds")
  nlp.add_pipe(eds.sentences())
  # instead of nlp.add_pipe("eds.sentences")

  The previous way of adding pipes is still supported.

• New eds.span_linker deep-learning component to match entities with their concepts in a knowledge base, in synonym-similarity or concept-similarity mode.

Changed

• nlp.preprocess_many now uses lazy collections to enable parallel processing
• ⚠️ Breaking change. Improved and simplified eds.span_qualifier: we didn't support combination groups before, so this feature was scrapped for now. We now also support splitting values of a single qualifier between different span labels.
• Optimized edsnlp.data batching, especially for large batch sizes (removed a quadratic loop)
• ⚠️ Breaking change. By default, the name of components added to a pipeline is now the default name defined in their class __init__ signature. For most components of EDS-NLP, this will change the name from "eds.xxx" to "xxx".

Fixed

• Flatten list outputs (such as "ents" converter) when iterating: nlp.map(data).to_iterable("ents") is now a list of entities, and not a list of lists of entities
• Allow span pooler to choose between multiple base embedding spans (as likely produced by eds.transformer) by sorting them by Dice overlap score.
• EDS-NLP does not raise an error anymore when saving a model to an already existing, but empty directory

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 97.43%. Comparing base (d5dc0d8) to head (5ad4784).

Additional details and impacted files

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##           master     #281   +/-   ##
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  Coverage   97.43%   97.43%           
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  Files         262      262           
  Lines        9090     9090           
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  Hits         8857     8857           
  Misses        233      233           

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