A package for splitting multilabel datasets into train and test sets, while preserving the distribution of labels and keeping samples from the same group together. Includes a report and chart for visualizing the stratification. Multi-label stratificatin is done through the iterative-stratification package.
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Release files for maestros 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| maestros-0.1.1.tar.gz | 7.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| maestros-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.5 kB
Release files / maestros-0.1.1.tar.gz
| Download URL | maestros-0.1.1.tar.gz |
|---|---|
| Size | 7.4 kB |
| Tags | Source |
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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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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.15
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Release files / maestros-0.1.1-py3-none-any.whl
| Download URL | maestros-0.1.1-py3-none-any.whl |
|---|---|
| Size | 6.1 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/4.0.2 CPython/3.8.15
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