Rule generation, optimisation, filtering and scoring library
Project description
What is Iguanas?
Iguanas is a fast, flexible and modular Python package for:
- Generating new rules using a labelled dataset.
- Optimising existing rules using a labelled or unlabelled dataset.
- Combining rule sets and removing/filtering those which are unnecessary.
- Generating rule scores based on their performance.
It aims to help streamline the process for developing a deployment-ready Rules-Based System (RBS) for binary classification use cases.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
iguanas-0.1.4.tar.gz
(18.3 MB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
iguanas-0.1.4-py3-none-any.whl
(107.8 kB
view details)
File details
Details for the file iguanas-0.1.4.tar.gz.
File metadata
- Download URL: iguanas-0.1.4.tar.gz
- Upload date:
- Size: 18.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
61610a0132102cc5b948f1f19ca1906a6e4a52bf793108f62efb79b388ad3c9f
|
|
| MD5 |
458ccbaa761441207df38844d5c11387
|
|
| BLAKE2b-256 |
c92c5760ce123c37f9ddec6f36afa19d6d164a779538c35c1d4c90e57cf31d0d
|
File details
Details for the file iguanas-0.1.4-py3-none-any.whl.
File metadata
- Download URL: iguanas-0.1.4-py3-none-any.whl
- Upload date:
- Size: 107.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
34ed17ff576f096e3c8d0c60254c0f0292bb3ae782fa77eb43aafafa878ac695
|
|
| MD5 |
a7470cc2e11c27ac698b9db08d5e8526
|
|
| BLAKE2b-256 |
ab6bcf785cb1856b09c30884326fb85ff79ff87fb999b0935a1bff1233053f12
|