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* Update the arguments of LightGBModel * update README table Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
LightGBM
- Code: https://github.com/microsoft/LightGBM
- Paper: LightGBM: A Highly Efficient Gradient Boosting Decision Tree. https://proceedings.neurips.cc/paper/2017/file/6449f44a102fde848669bdd9eb6b76fa-Paper.pdf.
Introductions about the settings/configs.
workflow_config_lightgbm_multi_freq.yaml
- It uses data sources of different frequencies (i.e. multiple frequencies) for daily prediction.