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Adjust rolling api (#1594)

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* 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
This commit is contained in:
you-n-g
2023-07-14 12:16:12 +08:00
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parent 8d3adf34ac
commit be4646b4b7
148 changed files with 1035 additions and 1028 deletions
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examples/benchmarks_dynamic/DDG-DA/README.md
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@@ -16,12 +16,12 @@ Though the dataset is different, the conclusion remains the same. By applying `D
# Run the Code
Users can try `DDG-DA` by running the following command:
```bash
python workflow.py run_all
python workflow.py run
```
The default forecasting models are `Linear`. Users can choose other forecasting models by changing the `forecast_model` parameter when `DDG-DA` initializes. For example, users can try `LightGBM` forecasting models by running the following command:
```bash
python workflow.py --forecast_model="gbdt" run_all
python workflow.py --conf_path=../workflow_config_lightgbm_Alpha158.yaml run
```
# Results