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Multi Target Regression Python Packages

Python packages with the GitHub topic multi-target-regression. Sorted by relevance, with stars and monthly downloads.
mrapp-ke
mlrl-boomer

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

8K 5 2
mrapp-ke
mlrl-common

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

8K 5 2
mrapp-ke
mlrl-seco

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

7K 5 2
StatMixedML
xgboostlss

An extension of XGBoost to probabilistic modelling

3K 709 80
mrapp-ke
mlrl-util

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

678 5 2
mrapp-ke
mlrl-testbed

Provides utilities for the training and evaluation of machine learning algorithms

677 5 2
mrapp-ke
mlrl-testbed-sklearn

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

519 5 2
mrapp-ke
mlrl-testbed-arff

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

511 5 2
a-wozniakowski
scikit-physlearn

A machine learning library for regression, which implements a new formulation of gradient boosting.

415 10 3
mrapp-ke
mlrl-testbed-slurm

Adds support for the Slurm Workload Manager to the package "mlrl-testbed"

367 5 2
DSAAR
amorf

A Multi-Output Regression Framework in Python

124 32 3
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