v0.10.0

Changelog

Added

• Support packaging models made in setuptools based projects

Fixed

• Support packaging with poetry 2.0

Changed

• Handle cases like distant superscript "³ something" where the super script and the rest of the text are parsed are two lines one above the other, when they should be on the same line.

Pull Requests

• Handle cases like distant superscripts by @percevalw in #32
• chore: bump version to 0.10.0 by @percevalw in #33

Full Changelog: v0.9.3...v0.10.0

v0.9.3

Changelog

• Support pydantic v2

Pull Requests

• Support pydantic v2 by @percevalw in #31

Full Changelog: v0.9.2...v0.9.3

v0.9.2

Changelog

Changed

• Default to fp16 when inferring with gpu
• Support inputs parameter in TrainablePipe.postprocess(...) method (as in edsnlp)
• We now check that the user isn't trying to write a single file in a split fashion (when write_in_worker is True or num_rows_per_file is not None) and raise an error if they do

Fixed

• Batches full of empty content boxes no longer crash the huggingface-embedding component
• Ensure models are always loaded in non training mode
• Improved performance of edspdf.data methods over a filesystem (fs parameter)

Pull Requests

• Fix empty batches & update data API by @percevalw in #28
• chore: bump version to 0.9.2 by @percevalw in #30

Full Changelog: v0.9.1...v0.9.2

v0.9.1

Changelog

Fixed

• It is now possible to recursively retrieve pdf files in a directory using edspdf.data.read_files

What's Changed

• fix: allow recursive pdf file searching by @percevalw and @acalliger in #26

Full Changelog: v0.9.0...v0.9.1

v0.9.0

What's Changed ?

Added

• New unified edspdf.data api (pdf files, pandas, parquet) and LazyCollection object
  to efficiently read / write data from / to different formats & sources. This API is
  has been heavily inspired by the edsnlp.data API.
• New unified processing API to select the execution backend via data.set_processing(...)
  to replace the old accelerators API (which is now deprecated, but still available).
• huggingface-embedding now supports quantization and other AutoModel.from_pretrained kwargs
• It is now possible to add convert a label to multiple labels in the simple-aggregator component :

# To build the "text" field, we will aggregate "title", "body" and "table" lines,
# and output "title" lines in a separate field as well.
label_map = {
    "text" : [ "title", "body", "table" ],
    "title": "title",
    }

Fixed

• huggingface-embedding now resize bbox features for large PDFs, instead of making the model crash
• huggingface-embedding and sub-box-cnn-pooler now handle empty PDFs correctly

Pull Requests

• API update (data & processing) by @percevalw in #25

Full Changelog: v0.8.1...v0.9.0

v0.8.1

Changelog

Fixed

• Fix typing to allow passing an accelerator dict to Pipeline.pipe(...)
• Removed multiprocessing accelerator debug output
• Fixed absolute links in github-pages docs (e.g. image assets)

Changed

• Added auto-links to components in the docs (by comparing span contents with entry points)

Pull Requests

• v0.8.1 by @percevalw in #23

Full Changelog: v0.8.0...v0.8.1

v0.8.0

What's changed

Added

• Add multi-modal transformers (huggingface-embedding) with windowing options
• Add render_page option to pdfminer extractor, for multi-modal PDF features
• Add inference utilities (accelerators), with simple mono process support and multi gpu / cpu support
• Packaging utils (pipeline.package(...)) to make a pip installable package from a pipeline

Changed

• Updated API to follow EDS-NLP's refactoring
• Updated confit to 0.4.2 (better errors) and foldedtensor to 0.3.0 (better multiprocess support)
• Removed pipeline.score. You should use pipeline.pipe, a custom scorer and pipeline.select_pipes instead.
• Better test coverage
• Use hatch instead of setuptools to build the package / docs and run the tests

Fixed

• Fixed attrs dependency only being installed in dev mode

Pull Requests

• Huggingface multi-modal transformers by @percevalw in #15
• Dev install documentation and dependencies fix by @ian-fox in #16
• Huggingface by @percevalw in #17
• Accelerators by @percevalw in #19
• Scoring by @percevalw in #20
• Packaging utils by @percevalw in #18
• chore: bump version to 0.8.0 by @percevalw in #21
• feat: switch to hatch package manager by @percevalw in #22

New Contributors

• @ian-fox made their first contribution in #16

Full Changelog: v0.7.0...v0.8.0

v0.7.0

What's changed

This public release comes with a major overhaul of the library since v0.5.3

Core features

• new pipeline system whose API is inspired by spaCy
• first-class support for pytorch
• hybrid model inference and training (rules + deep learning)
• moved from pandas DataFrame to attrs dataclasses (PDFDoc, Page, Box, ...) for representing PDF documents
• new configuration system based on confit, with support for instantiation of complex deep learning models, off-the-shelf CLI, ...

Functional features

• new extractors: pymupdf and poppler (separate packages for licensing reasons)
• many deep learning layers (box-transformer, 2d attention with relative position information, ...)
• trainable deep learning classifier
• training recipes for deep learning models

Full Changelog: v0.5.3...v0.7.0

v0.5.3

What's Changed

Added

• Add label mapping parameter to aggregators (to merge different types of blocks such as title and body)
• Improved line aggregation formula

Full Changelog: v0.5.2...v0.5.3

v0.5.2

What's Changed

• ci: remove unnecessary poppler dependency by @bdura in #7
• Fix aggregation for empty documents by @percevalw in #8

Full Changelog: v0.5.1...v0.5.2