https://github.com/aporia-ai/dmatrix2np

Convert XGBoost's DMatrix format to np.array
https://github.com/aporia-ai/dmatrix2np

machine-learning numpy xgboost

Last synced: 9 months ago
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Convert XGBoost's DMatrix format to np.array

• Host: GitHub
• URL: https://github.com/aporia-ai/dmatrix2np
• Owner: aporia-ai
• License: gpl-3.0
• Created: 2020-05-06T15:02:40.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2021-11-03T09:45:46.000Z (about 4 years ago)
• Last Synced: 2023-03-06T17:03:12.952Z (almost 3 years ago)
• Topics: machine-learning, numpy, xgboost
• Language: Python
• Homepage:
• Size: 42 KB
• Stars: 14
• Watchers: 1
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# dmatrix2np

[![Tests](https://github.com/aporia-ai/dmatrix2np/workflows/Test/badge.svg)](https://github.com/aporia-ai/dmatrix2np/actions?workflow=Test) [![PyPI](https://img.shields.io/pypi/v/dmatrix2np.svg)](https://pypi.org/project/dmatrix2np/) [![Downloads](https://pepy.tech/badge/dmatrix2np)](https://pepy.tech/project/dmatrix2np)

Convert XGBoost's DMatrix format to np.array.

Made with :heart: by Aporia


## Usage

To install the library, run:

    pip install dmatrix2np

Then, you can call in your code:

    from dmatrix2np import dmatrix_to_numpy

    converted_np_array = dmatrix_to_numpy(dmatrix)

## Development

We use [poetry](https://python-poetry.org/) for development:

    pip install poetry

To install all dependencies and run tests:

    poetry run pytest

    

To run tests on the entire matrix (Python 3.6, 3.7, 3.8, 3.9 + XGBoost 0.80, 0.90, 1.0, 1.1, 1.2, 1.3, 1.4):

    

    pip install tox

    tox

### The Research Behind

In the flowing blog post we describe the research that has been done to understand the DMatrix format and creating this library:

[DMatrix to Numpy Research](https://www.aporia.com/how-to-convert-dmatrix-to-numpy-format-for-your-machine-learning-model-3/)