machine learning third-party library made by ycsyrc
Download method: pip install draft-basic
Up to now, you can use this library to build a multi layer perceptron with one hidden layer, a perceptron, a knn model, a kmeans model, a SOM model and a NaiveBayes model.
Apart from that, it can also be used to draw linechart and confusion matrix.
This library is mainly used for education and entertainment.
1 maintainer
Metadata
1 maintainer
Release files for draft-basic 0.19.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| draft_basic-0.19.1.tar.gz | 26.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| draft_basic-0.19.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 54.6 kB
Release files / draft_basic-0.19.1.tar.gz
| Download URL | draft_basic-0.19.1.tar.gz |
|---|---|
| Size | 26.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.10
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Release files / draft_basic-0.19.1-py3-none-any.whl
| Download URL | draft_basic-0.19.1-py3-none-any.whl |
|---|---|
| Size | 28.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.10
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