Auto labeling pipeline

Auto labeling pipeline helps doccano to annotate a document automatically. This package is intended to be used from the inside of doccano. You shouldn't use this package directly.

Installation

To install auto-labeling-pipeline, simply run:

pip install auto-labeling-pipeline

How to contribute

You can contribute this project by adding new templates as follows:

  1. Add a new request model class to models.py.
  2. Add a new template(Jinja2 format) to templates/ directory.
  3. Add a new template class to mappings.py.
  4. Add a new option to menu.py.
  5. Testing.

License

MIT

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for Hironsan from gravatar.com Hironsan

Credits

Author: Hironsan

License

MIT License (MIT)

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

auto-labeling-pipeline-0.1.23.tar.gz (424.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

auto_labeling_pipeline-0.1.23-py3-none-any.whl (12.7 kB view details)

Uploaded Python 3

File details

Details for the file auto-labeling-pipeline-0.1.23.tar.gz.

File metadata

  • Download URL: auto-labeling-pipeline-0.1.23.tar.gz
  • Upload date:
  • Size: 424.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for auto-labeling-pipeline-0.1.23.tar.gz
Algorithm Hash digest
SHA256 8a0f15e275bda0c1f5cadd24bb58ba447f5593b38eb4eee6d18d420eca2c944c
MD5 e8f5d116e9ab6e6ad4af3ae0f225a9ba
BLAKE2b-256 699798b21bace14558275822ba09564dd6cc119684d036be49baf892e4e51d5e

See more details on using hashes here.

File details

Details for the file auto_labeling_pipeline-0.1.23-py3-none-any.whl.

File metadata

File hashes

Hashes for auto_labeling_pipeline-0.1.23-py3-none-any.whl
Algorithm Hash digest
SHA256 5760be304c87440f62ef73e3420a8b3ac4cae6e07a63230115c7b90408ec3104
MD5 fcd21d25806e0d5e7b94bdab953f8197
BLAKE2b-256 85d51b49dbfd50903140f92838fed86fd16a18cd5591b2c8f698b05dbdb0a3a4

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

0.1.23 This release

2 files

0.1.22

2 files

0.1.21

2 files

0.1.20

2 files

0.1.19

2 files

0.1.18

2 files

0.1.17

2 files

0.1.16

2 files

0.1.15

2 files

0.1.14

2 files

0.1.13

2 files

0.1.12

2 files

0.1.11

2 files

0.1.10

2 files

0.1.9

2 files

0.1.8

2 files

0.1.7

2 files

0.1.6

2 files

0.1.5

2 files

0.1.4

2 files

0.1.3

2 files

0.1.2

2 files

0.1.1

2 files

0.1.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page