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Adjust rolling api (#1594)
* 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
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@@ -246,7 +246,6 @@ class ADARNN(Model):
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evals_result=dict(),
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save_path=None,
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):
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df_train, df_valid = dataset.prepare(
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["train", "valid"],
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col_set=["feature", "label"],
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@@ -318,7 +317,6 @@ class ADARNN(Model):
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preds = []
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for begin in range(sample_num)[:: self.batch_size]:
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if sample_num - begin < self.batch_size:
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end = sample_num
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else:
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