We introduce a comprehensive framework that models and predicts the full conditional distribution of univariate and multivariate targets as a function of covariates. Choosing from a wide range of ...

DAXOS is a Python library designed to efficiently run Dask and XGBoost on SNP data, particularly for use on high-performance computing (HPC) systems that use a SLURM management system. The code is ...

Abstract: In this paper, a comprehensive power consumption forecasting method based on Xgboost algorithm is proposed to solve the problems of numerous influencing factors and different user behavior ...

Abstract: The real estate market is closely related to people's life. It is very important to accurately predict the future real estate price. Traditional methods are difficult to describe the ...