ensure inlier metric can be combined with other cleaning methods
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@ -427,6 +427,11 @@ class IFreqaiModel(ABC):
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ft_params = self.freqai_info["feature_parameters"]
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if ft_params.get('inlier_metric_window', 0):
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dk.compute_inlier_metric(set_='train')
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if self.freqai_info["data_split_parameters"]["test_size"] > 0:
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dk.compute_inlier_metric(set_='test')
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if ft_params.get(
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"principal_component_analysis", False
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):
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@ -446,11 +451,6 @@ class IFreqaiModel(ABC):
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dk.use_DBSCAN_to_remove_outliers(predict=False, eps=eps)
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self.dd.old_DBSCAN_eps[dk.pair] = dk.data['DBSCAN_eps']
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if ft_params.get('inlier_metric_window', 0):
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dk.compute_inlier_metric(set_='train')
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if self.freqai_info["data_split_parameters"]["test_size"] > 0:
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dk.compute_inlier_metric(set_='test')
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if self.freqai_info["feature_parameters"].get('noise_standard_deviation', 0):
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dk.add_noise_to_training_features()
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