Dominance Analysis Package
This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.
Please follow github repository for the detailed description here and the official documentation here.
Release files for dominance-analysis 1.1.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dominance_analysis-1.1.9.tar.gz | 10.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dominance_analysis-1.1.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.4 kB
Release files / dominance_analysis-1.1.9.tar.gz
| Download URL | dominance_analysis-1.1.9.tar.gz |
|---|---|
| Size | 10.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.7.4
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Release files / dominance_analysis-1.1.9-py3-none-any.whl
| Download URL | dominance_analysis-1.1.9-py3-none-any.whl |
|---|---|
| Size | 13.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.4
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