Blauwal3-Associate
Orange add-on for enumerating frequent itemsets and association rules mining.
See documentation.
Features
Association Rules
- induce association and classification rules
- filter rules by the antecedent or consequent part
Frequent Itemsets
- find frequent itemsets
- set criteria for search
- filter the results with regular expression
Metadata
Release files for Blauwal3-Associate 1.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| blauwal3_associate-1.3.0.tar.gz | 513.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Blauwal3_Associate-1.3.0-cp310-cp310-win_amd64.whl | CPython 3.10 | CPython 3.10 | Windows x86-64 | Details |
Total release size: 589.3 kB
Release files / blauwal3_associate-1.3.0.tar.gz
| Download URL | blauwal3_associate-1.3.0.tar.gz |
|---|---|
| Size | 513.0 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/5.1.1 CPython/3.10.14
|
Release files / Blauwal3_Associate-1.3.0-cp310-cp310-win_amd64.whl
| Download URL | Blauwal3_Associate-1.3.0-cp310-cp310-win_amd64.whl |
|---|---|
| Size | 76.3 kB |
| Tags | CPython 3.10 Windows x86-64 |
|
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/5.1.1 CPython/3.10.14
|