smarie/python-m5p
An implementation of M5 and model trees in python, compliant with scikit-learn.
This is a tool for developers who use Python and the scikit-learn ecosystem. It provides an implementation of M5 and model trees, which are machine learning algorithms, within the familiar scikit-learn framework. Developers can use it to build predictive models from their data, integrating it seamlessly into their existing Python machine learning workflows.
No commits in the last 6 months.
Use this if you are a Python developer working on machine learning projects and need to implement M5 or model tree algorithms within a scikit-learn compliant environment.
Not ideal if you are not a Python developer or are looking for a ready-to-use application rather than a programming library.
Stars
24
Forks
4
Language
Python
License
BSD-3-Clause
Category
Last pushed
Jan 22, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/smarie/python-m5p"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
iamDecode/sklearn-pmml-model
A library to parse and convert PMML models into Scikit-learn estimators.
vecxoz/vecstack
Python package for stacking (machine learning technique)
yzhao062/combo
(AAAI' 20) A Python Toolbox for Machine Learning Model Combination
flennerhag/mlens
ML-Ensemble – high performance ensemble learning
aws-samples/aws-machine-learning-university-dte
Machine Learning University: Decision Trees and Ensemble Methods