Factual package intelligence from PyPI
To improve EDU segmentation performance using Segbot. As Segbot has an encoder-decoder model architecture, we can replace bidirectional GRU encoder with generative pretraining models such as BART and
pip install edu-segmentation
PyPI declares 69 unique dependency rules for this release. Environment markers are shown when supplied by the project.
==0.12.11==3.1.2==2.1.2==6.0==2.15.1==23.1.0==6.0.0==0.10.0==2022.12.7==3.1.0==2.0.1==8.1.3==0.4.6==0.4.1==0.3.6==0.19==0.21.3==3.12.0The compact report shows 18 of 69 declarations. The interactive dependency graph loads the complete metadata.
edu-segmentation publishes 1 wheel and 1 source archive for version 0.0.115. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.9.
PyPI does not currently declare: license, project URL. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 58 releases with files. The first dated release is ; 58 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
The project does not publish external project URLs in its PyPI metadata.