Orange Multitarget
Orange Multitarget is an add-on for Orange data mining software package. It extends Orange by providing methods that allow for classification of datasets with multiple classes.
Currently supported techniques:
Binary Relevance
Classifier Chains and Ensemble Classifier Chains
Clustering Trees
Neural Networks
Partial Least Squares
Documentation can be viewed at:
6 maintainers
Release files for Orange-Multitarget 0.9.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| Orange-Multitarget-0.9.3.tar.gz | 590.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Orange_Multitarget-0.9.3-py2.7.egg | Legacy Egg format | - | - | Details |
Total release size: 833.7 kB
Release files / Orange-Multitarget-0.9.3.tar.gz
| Download URL | Orange-Multitarget-0.9.3.tar.gz |
|---|---|
| Size | 590.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / Orange_Multitarget-0.9.3-py2.7.egg
| Download URL | Orange_Multitarget-0.9.3-py2.7.egg |
|---|---|
| Size | 243.3 kB |
| Tags | Egg |
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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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
