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.
Metadata
Release files for Blauwal3-Explain 0.6.10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| blauwal3_explain-0.6.10.tar.gz | 1.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Blauwal3_Explain-0.6.10-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.1 MB
Release files / blauwal3_explain-0.6.10.tar.gz
| Download URL | blauwal3_explain-0.6.10.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/5.1.1 CPython/3.10.14
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Release files / Blauwal3_Explain-0.6.10-py3-none-any.whl
| Download URL | Blauwal3_Explain-0.6.10-py3-none-any.whl |
|---|---|
| Size | 91.6 kB |
| Tags | Python 3 |
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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/5.1.1 CPython/3.10.14
|