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feat(Models): added lightGBM, moved other models to separate files (#128)
* feat(Models): added lightGBM, moved other models to separate files * feat(Models): added non-working statsmodel wrapper * fix(Models): added work-in-progress comment to StatsModels
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@@ -88,7 +88,8 @@ def __run_training(model_config:dict, training_config:dict, data_config:dict):
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all_models_for_all_assets[asset[1]] = dict(
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name=asset[1],
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models=all_models_for_single_asset)
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models=all_models_for_single_asset
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)
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# 4. Train a Meta-Labeling model for each Level-1 model and replace its predictions with the meta-labeling predictions
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if training_config['meta_labeling_lvl_1'] == True:
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