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be4646b4b7
* Intermediate version * Fix yaml template & Successfully run rolling * Be compatible with benchmark * Get same results with previous linear model * Black formatting * Update black * Update the placeholder mechanism * Update CI * Update CI * Upgrade Black * Fix CI and simplify code * Fix CI * Move the data processing caching mechanism into utils. * Adjusting DDG-DA * Organize import
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.