Algorithm name: Tree classifier for gaussian process regression Tasks : Dataset Partition & Outliers Identification & Features Selection Author: Bin CAO <binjacobcao@gmail.com> Guangzhou Municipal Key Laboratory of Materials Informatics, Advanced Materials Thrust, Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511400, Guangdong, China
Please feel free to open issues in the Github : https://github.com/Bin-Cao/TCGPR or contact Mr.Bin Cao (bcao@shu.edu.cn) in case of any problems/comments/suggestions in using the code.
Metadata
Release files for PyTcgpr 1.3.1
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| PyTcgpr-1.3.1.tar.gz | 12.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| PyTcgpr-1.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 32.4 kB
Release files / PyTcgpr-1.3.1.tar.gz
| Download URL | PyTcgpr-1.3.1.tar.gz |
|---|---|
| Size | 12.9 kB |
| Tags | Source |
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Release files / PyTcgpr-1.3.1-py3-none-any.whl
| Download URL | PyTcgpr-1.3.1-py3-none-any.whl |
|---|---|
| Size | 19.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.9.12
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