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feat(Evaluation): created a unified evaluation framework for both regression / classification
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@@ -10,9 +10,8 @@ def walk_forward_train_test(
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y: pd.Series,
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window_size: int,
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retrain_every: int
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) -> tuple[list[SKLearnModel], list[float]]:
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) -> tuple[pd.Series, pd.Series]:
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print("Training: ", model_name)
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predictions = pd.Series(index=y.index)
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models = pd.Series(index=y.index)
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