semvec/pypi-packages huggingface dataset:
terregex 0.0.6
Regex transformation library
Requires Python: >=3.9

# Terregex
Terregex is structural regex transformation library. 

## Installation
You can install this library via [PyPI](https://pypi.org/project/terregex/).
```
pip install terregex
```

## Getting Started
```py
from terregex import Transformer, Literal

trans = Transformer()

@trans.add_rule()
def transform_literal(node: Literal):
    node.string = node.string.lower()

trans('(Foo|Bar)+') # => '(foo|bar)+'
```
multilabeler 0.4
Prediction of two dependent labels
Requires Python: >=3.6

# Project Title

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

```bash
  pip install multilabeler
```

  
## Feedback

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

[MIT](https://choosealicense.com/licenses/mit/)

  
## Usage/Examples

[Notebook](https://github.com/owos/Multilabel/blob/main/use_case_of_mutlilabel.ipynb)
```bash
  from multilabeler import BilableClassifier
  model = BilableClassifier(xgboost())
```