autoxplainai
autoxplainai is an Automatic Model Explanation Framework that simplifies the process of interpreting machine learning models. It provides tools for generating explanations and visualizing them in an intuitive way.
Features
- Automatic generation of model explanations
- Visualization of feature importances
- Support for multiple explanation methods
Installation
pip install autoxplainai
Usage
from autoxplainai.explainer import Explainer
explainer = Explainer(model)
explanations = explainer.explain(X_test)
1 maintainer
Metadata
1 maintainer
Release files for autoxplainai 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 | Provenance | |
|---|---|---|---|---|
| autoxplainai-1.0.0.tar.gz | 2.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| autoxplainai-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.0 kB
Release files / autoxplainai-1.0.0.tar.gz
| Download URL | autoxplainai-1.0.0.tar.gz |
|---|---|
| Size | 2.5 kB |
| Tags | Source |
|
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/6.1.0 CPython/3.13.0
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Release files / autoxplainai-1.0.0-py3-none-any.whl
| Download URL | autoxplainai-1.0.0-py3-none-any.whl |
|---|---|
| Size | 3.5 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.0
|
Security for autoxplainai 1.0.0
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