The Model Agnostic Toolkit is a package for determining the effect of individual features
and their interplay toward a target variable for tabular datasets.
It includes tools for:
- Individual feature importances
- Feature pair interactions
For more details, please refer to the project documentation.
Metadata
Release files for model-agnostic-toolkit 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| model_agnostic_toolkit-1.0.0.tar.gz | 20.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| model_agnostic_toolkit-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.4 MB
Release files / model_agnostic_toolkit-1.0.0.tar.gz
| Download URL | model_agnostic_toolkit-1.0.0.tar.gz |
|---|---|
| Size | 20.3 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.10.11
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Release files / model_agnostic_toolkit-1.0.0-py3-none-any.whl
| Download URL | model_agnostic_toolkit-1.0.0-py3-none-any.whl |
|---|---|
| Size | 82.2 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/6.1.0 CPython/3.10.11
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