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Update on Dynamic Benchmark (#1539)

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* move config file to benchmark_dynamic & switch default sim task model to GBDT

* Update benchmark_dynamic results

* Change the default value of alpha of DDG-DA
This commit is contained in:
Wendi Li
2023-06-03 08:42:24 +08:00
committed by GitHub
parent 0e9ac9dce7
commit cd4ab998fb
5 changed files with 164 additions and 10 deletions
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6
examples/benchmarks_dynamic/DDG-DA/workflow.py
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@@ -34,14 +34,14 @@ class DDGDA:
def __init__(
self,
sim_task_model: Literal["linear", "gbdt"] = "linear",
sim_task_model: Literal["linear", "gbdt"] = "gbdt",
forecast_model: Literal["linear", "gbdt"] = "linear",
h_path: Optional[str] = None,
test_end: Optional[str] = None,
train_start: Optional[str] = None,
meta_1st_train_end: Optional[str] = None,
task_ext_conf: Optional[dict] = None,
alpha: float = 0.0,
alpha: float = 0.01,
proxy_hd: str = "handler_proxy.pkl",
):
"""
@@ -215,7 +215,7 @@ class DDGDA:
with R.start(experiment_name=self.meta_exp_name):
R.log_params(**kwargs)
mm = MetaModelDS(
step=self.step, hist_step_n=kwargs["hist_step_n"], lr=0.001, max_epoch=100, seed=43, alpha=self.alpha
step=self.step, hist_step_n=kwargs["hist_step_n"], lr=0.001, max_epoch=30, seed=43, alpha=self.alpha
)
mm.fit(md)
R.save_objects(model=mm)