that-ml-library
Install
pip install that_ml_library
For tree visualization function
(plot_tree_dtreeviz
or
plot_tree_sklearn),
you also need to install graphviz. Please follow the instruction
here
How to use
Please visit https://anhquan0412.github.io/that-ml-library/ for tutorials and documentations
A word of caution
This library should only be utilized solely for developing a proof of concept or prototype for your machine learning model with your specific dataset, with the aim of evaluating the model’s performance and interpretability. For deployment in a production environment, opt for a more organized methodology, such as https://scikit-learn.org/stable/modules/compose.html#pipeline
1 maintainer
Metadata
1 maintainer
Release files for that-ml-library 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| that_ml_library-0.0.6.tar.gz | 19.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| that_ml_library-0.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 40.0 kB
Release files / that_ml_library-0.0.6.tar.gz
| Download URL | that_ml_library-0.0.6.tar.gz |
|---|---|
| Size | 19.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.9
|
Release files / that_ml_library-0.0.6-py3-none-any.whl
| Download URL | that_ml_library-0.0.6-py3-none-any.whl |
|---|---|
| Size | 20.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.9
|
