M-NIST classification algorithm comparison
Installation
You can just use
pip install mnist-classifier
Documentation
You can find all the information you need on the documentation page
Motivation for project
This project was realised in the scope of a course in Artificial Intelligence offered by UniDistance and the Idiap research Institute
The hypothesis motivating the development of this package is the following:
Random Forests can give similar resulting prediction models to MLP Neural Networks on the M-NIST digit dataset in significantly less time.
With the code in this repository, we show that indeed, Random Forests can in fact produce similar (if not better) results with training times orders of magnitude smaller.
License
MIT
Authors
@sandrich - Christian Sandrini @bigskapinsky - Calixte Mayoraz
2 maintainers
Metadata
2 maintainers
Release files for mnist-classifier 1.0.4
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| File | Size | Uploaded | Provenance | |
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| mnist-classifier-1.0.4.tar.gz | 17.8 kB | Without provenance | Details |
Built distribution (wheel)
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| mnist_classifier-1.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 41.6 kB
Release files / mnist-classifier-1.0.4.tar.gz
| Download URL | mnist-classifier-1.0.4.tar.gz |
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| Size | 17.8 kB |
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Release files / mnist_classifier-1.0.4-py3-none-any.whl
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| Size | 23.8 kB |
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