A multi-target regression algorithm based on Gaussian process regression
자율주행 센서의 안테나 성능 예측 AI 경진대회, LG AI Research (2022.08.01 ~ 2022.08.26)
Final Rank - 81 out of 5060
A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules
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.
Predict the net rate of bike renting
A machine learning library for regression, which implements a new formulation of gradient boosting.
An extension of Py-Boost to probabilistic modelling
A Multi-Output Regression Framework in Python
Code for paper "Copula-based conformal prediction for Multi-Target Regression"
An extension of XGBoost to probabilistic modelling
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