CostSensitiveClassification
costcla is a Python module for cost-sensitive machine learning (classification) built on top of Scikit-Learn, SciPy and distributed under the 3-Clause BSD license.
In particular, it provides:
A set of example-dependent cost-sensitive algorithms
Different reald-world example-dependent cost-sensitive datasets.
The project is part of the PhD research of Alejandro Correa Bahnsen.
Installation
You can install costcla with pip:
# pip install costcla
Documentation
Documentation is available at http://albahnsen.github.com/CostSensitiveClassification
Tutorials are available at http://albahnsen.github.io/CostSensitiveClassification/Tutorials.html
Development
Source code is available at https://github.com/albahnsen/CostSensitiveClassification
1 maintainer
Release files for costcla 0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| costcla-0.6.tar.gz | 4.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| costcla-0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.0 MB
Release files / costcla-0.6.tar.gz
| Download URL | costcla-0.6.tar.gz |
|---|---|
| Size | 4.0 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
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Release files / costcla-0.6-py3-none-any.whl
| Download URL | costcla-0.6-py3-none-any.whl |
|---|---|
| Size | 4.0 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
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