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 Orange3-Explain-zh 0.5.3
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-zh-0.5.3.tar.gz | 847.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Orange3_Explain_zh-0.5.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 923.4 kB
Release files / Orange3-Explain-zh-0.5.3.tar.gz
| Download URL | Orange3-Explain-zh-0.5.3.tar.gz |
|---|---|
| Size | 847.1 kB |
| Tags | Source |
|
SHA-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/4.0.0 CPython/3.8.13
|
Release files / Orange3_Explain_zh-0.5.3-py3-none-any.whl
| Download URL | Orange3_Explain_zh-0.5.3-py3-none-any.whl |
|---|---|
| Size | 76.3 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/4.0.0 CPython/3.8.13
|