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Multilabeler

This is a package that takes in X and y as training data and predicts two outputs as y1 and y2 for any given test data. This package removes the limitation of just have one target feature in machine learning.

Contributing

Contributions are always welcome!

The package needs to be extend to predict non-categorical variables.

Please adhere to this project's code of conduct.

Installation

To install this package run

  pip install multilabeler

Feedback

If you have any feedback, please reach out to me at owodunniabraham@gmail.com

License

MIT

Usage/Examples

Notebook

  from multilabeler import BilableClassifier
  model = BilableClassifier(xgboost())

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