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fix model when using single feature

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Dong Zhou
2020-11-24 21:03:52 +08:00
parent 73b280754d
commit e819879232
3 changed files with 4 additions and 4 deletions
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4
qlib/contrib/model/gbdt.py
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@@ -16,7 +16,7 @@ class LGBModel(ModelFT):
def __init__(self, loss="mse", **kwargs):
if loss not in {"mse", "binary"}:
raise NotImplementedError
self.params = {"objective": loss}
self.params = {"objective": loss, 'verbosity': -1}
self.params.update(kwargs)
self.model = None
@@ -65,7 +65,7 @@ class LGBModel(ModelFT):
if self.model is None:
raise ValueError("model is not fitted yet!")
x_test = dataset.prepare("test", col_set="feature", data_key=DataHandlerLP.DK_I)
return pd.Series(self.model.predict(np.squeeze(x_test.values)), index=x_test.index)
return pd.Series(self.model.predict(x_test.values), index=x_test.index)
def finetune(self, dataset: DatasetH, num_boost_round=10, verbose_eval=20):
"""