https://github.com/mebjas/df2hc

Python tool-set to create hierarchical classifiers from dataframe
https://github.com/mebjas/df2hc

dataframe hierarchical-classification sklearn

Last synced: 2 months ago
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Python tool-set to create hierarchical classifiers from dataframe

• Host: GitHub
• URL: https://github.com/mebjas/df2hc
• Owner: mebjas
• License: mit
• Created: 2018-06-11T23:43:45.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-06-14T11:18:05.000Z (almost 7 years ago)
• Last Synced: 2024-05-23T08:31:54.135Z (12 months ago)
• Topics: dataframe, hierarchical-classification, sklearn
• Language: Python
• Homepage:
• Size: 6.84 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# df2hc

### DataFrame To Hierarchical Classifiers

#### Classifier = function (DataFrame, Configuration)

**DataFrame** - Pandas dataframe

**Configuration** - Config with information about Heirarchy, thresholds

#### Additional Utilities

 - `Channel` - create data channels for reusing across the flow


 - `VectorizerHub` - Train, Persist, Load named vectorizers to be used across the flow both during training and in live production environments

 - `Ensemble` - Train, Persist, Load ensembles using `ChannelHub` and `VectorizerHub`

 - `OneVsRestClassifier` - for multi class classification easily create OVR on top of Ensembles