Memento - Scorecard development with Python
Memento is a Python package with the aim of providing the necessary tools for:
- Grouping variables (both numerical and categorical) in an automatic and interactive way.
- Development of customizable scorecards adaptable to the requirements of each user.
Source code
Check out the GitHub repository.
Documentation
You can find useful documentation here.
1 maintainer
Metadata
1 maintainer
Release files for memento-scorecard 2.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| memento-scorecard-2.0.3.tar.gz | 26.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| memento_scorecard-2.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 52.8 kB
Release files / memento-scorecard-2.0.3.tar.gz
| Download URL | memento-scorecard-2.0.3.tar.gz |
|---|---|
| Size | 26.6 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/5.0.0 CPython/3.11.7
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Release files / memento_scorecard-2.0.3-py3-none-any.whl
| Download URL | memento_scorecard-2.0.3-py3-none-any.whl |
|---|---|
| Size | 26.3 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/5.0.0 CPython/3.11.7
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