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# LightGBM
* Code: [https://github.com/microsoft/LightGBM](https://github.com/microsoft/LightGBM)
* Paper: LightGBM: A Highly Efficient Gradient Boosting
Decision Tree. [https://proceedings.neurips.cc/paper/2017/file/6449f44a102fde848669bdd9eb6b76fa-Paper.pdf](https://proceedings.neurips.cc/paper/2017/file/6449f44a102fde848669bdd9eb6b76fa-Paper.pdf).
Decision Tree. [https://proceedings.neurips.cc/paper/2017/file/6449f44a102fde848669bdd9eb6b76fa-Paper.pdf](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 frequencie) for daily prediction.