https://github.com/dataiku/dss-plugin-ml-assisted-labeling
Dataiku Labelling & Active Learning solution.
https://github.com/dataiku/dss-plugin-ml-assisted-labeling
Last synced: 6 days ago
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Dataiku Labelling & Active Learning solution.
- Host: GitHub
- URL: https://github.com/dataiku/dss-plugin-ml-assisted-labeling
- Owner: dataiku
- License: apache-2.0
- Created: 2019-10-03T08:47:04.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2025-07-09T16:59:23.000Z (9 months ago)
- Last Synced: 2025-07-10T01:36:21.624Z (9 months ago)
- Language: JavaScript
- Size: 4.33 MB
- Stars: 10
- Watchers: 24
- Forks: 6
- Open Issues: 8
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Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE.txt
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README
# ML Assisted Labeling Plugin
This plugin lets you label your text, tabular, image or audio data efficiently by leveraging webapps and active learning recipes.
Not all samples bring the same amount of information when it comes to training a model. Labeling a very similar to an already labeled sample might not bring any improvement to the model performance. Active learning aims at estimating how much additional information labeling a sample can bring to a model and select the next sample to label accordingly.
Read the complete documentation on our [website](https://www.dataiku.com/product/plugins/ml-assisted-labeling/).
## License
The ML Assisted labeling plugin is:
Copyright (c) 2019 Dataiku SAS
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
## Contributing
When you contribute code, you affirm that the contribution is your original work
and that you license the work to the project under the project's open source license.
Whether or not you state this explicitly, by submitting any copyrighted material via
pull request, email, or other means you agree to license the material under the
project's open source license and warrant that you have the legal authority to do so.