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feat(Baseline): added one-split baseline, pure sklearn (#247)
* feat(Baseline): added sklearn_baseline * feat(Baseline): completely working
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+2
-1
@@ -54,6 +54,7 @@ def get_minimal_config() -> RawConfig:
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meta_models = ["LogisticRegression_two_class", "LGBM"]
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return RawConfig(
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start_date="2021-01-01",
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dimensionality_reduction_ratio=0,
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n_features_to_select=0,
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initial_window_size=3800,
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@@ -71,7 +72,7 @@ def get_minimal_config() -> RawConfig:
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meta_models=meta_models,
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event_filter="none",
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event_filter_multiplier=3.5,
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remove_overlapping_events=True,
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remove_overlapping_events=False,
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labeling="two_class",
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forecasting_horizon=10,
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transaction_costs=0.002,
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