Orange3 Explain
Orange3 Explain is an add-on for the Orange3 data mining suite. It provides extensions for explanatory AI. See documentation.
Features
- Explains a classification or regression model. Explains which features contribute the most and how they contribute toward the prediction for a specific class.
- Explains which features contribute the most to the prediction for a single instance based on the model and how they contribute.
Release files for Orange3-Explain 0.6.11
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| orange3_explain-0.6.11.tar.gz | 1.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| orange3_explain-0.6.11-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.7 MB
Release files / orange3_explain-0.6.11.tar.gz
| Download URL | orange3_explain-0.6.11.tar.gz |
|---|---|
| Size | 1.0 MB |
| 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/6.1.0 CPython/3.13.7
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Release files / orange3_explain-0.6.11-py3-none-any.whl
| Download URL | orange3_explain-0.6.11-py3-none-any.whl |
|---|---|
| Size | 8.7 MB |
| 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/3.13.7
|