Modular churn modeling pipelines.
Project description
churn_modeling_pipelines
This package provides modular pipelines for churn detection, model evaluation, and ensemble learning.
Features
- 7 ML base models with variant evaluation
- Voting, Stacking, Bagging, and Boosting
- Cost-sensitive metrics
- Confusion Matrix, ROC Curve, and Radial Plotting
Installation
pip install churn_modeling_pipelines
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
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
File details
Details for the file churn_modeling_pipelines-0.2.18-py3-none-any.whl.
File metadata
- Download URL: churn_modeling_pipelines-0.2.18-py3-none-any.whl
- Upload date:
- Size: 19.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.14.0b4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
339c4032db2b9e34785b607b4494ee6353333fc302f64330ba4151f2ecd6a6a1
|
|
| MD5 |
387fc99c5806a98b13444d4345fa6b01
|
|
| BLAKE2b-256 |
674fe0548b4c07befa9c6f4afc4110817f4c9db08402bfe5cdb3ceed71e643c3
|
