Topic: "multi-target-regression"
StatMixedML/XGBoostLSS
An extension of XGBoost to probabilistic modelling
Language: Python - Size: 90.2 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 598 - Forks: 63

M-Soundouss/CopulaConformalMTR
Code for paper "Copula-based conformal prediction for Multi-Target Regression"
Language: Python - Size: 11.7 KB - Last synced at: 4 days ago - Pushed at: about 4 years ago - Stars: 33 - Forks: 3

DSARG/amorf
A Multi-Output Regression Framework in Python
Language: Python - Size: 7.38 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 30 - Forks: 3

StatMixedML/Py-BoostLSS
An extension of Py-Boost to probabilistic modelling
Language: Python - Size: 5.07 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 0

timowilm1992/MultiLGBM
๐ณMultiLGBM๐ณ: A simple multi-objective regression example to show how to trade-off objectives on the Pareto front with a single LGBM model.
Language: Python - Size: 10.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 12 - Forks: 0

a-wozniakowski/scikit-physlearn
A machine learning library for regression, which implements a new formulation of gradient boosting.
Language: Python - Size: 2.28 MB - Last synced at: 17 days ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 3

peace195/DataScienceBikes-bike-renting
Predict the net rate of bike renting
Language: Jupyter Notebook - Size: 3.15 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 0

TheFerry10/ml-parameter-identification
A simple parameter reconstruction workflow using well-established machine learning algorithms and neural networks. The workflow is implemented and explained step-by-step in a Jupyter notebook.
Language: Jupyter Notebook - Size: 7.01 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

jayita13/hackerearth-ML-challenge-pet-adoption
Final Rank - 81 out of 5060
Language: Jupyter Notebook - Size: 854 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

mrapp-ke/MLRL-Boomer
A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules
Language: C++ - Size: 311 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

GNOEYHEAT/LG-AI_Rader
์์จ์ฃผํ ์ผ์์ ์ํ ๋ ์ฑ๋ฅ ์์ธก AI ๊ฒฝ์ง๋ํ, LG AI Research (2022.08.01 ~ 2022.08.26)
Language: Python - Size: 16.3 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

m-nabati/JGPR
A multi-target regression algorithm based on Gaussian process regression
Language: R - Size: 491 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1
