ensure the lost points are prepended for FreqUI
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@ -587,7 +587,7 @@ class IFreqaiModel(ABC):
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# # for keras type models, the conv_window needs to be prepended so
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# # for keras type models, the conv_window needs to be prepended so
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# # viewing is correct in frequi
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# # viewing is correct in frequi
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if self.freqai_info.get('keras', False):
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if self.freqai_info.get('keras', False) or self.ft_params.get('inlier_metric_window', 0):
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n_lost_points = self.freqai_info.get('conv_width', 2)
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n_lost_points = self.freqai_info.get('conv_width', 2)
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zeros_df = DataFrame(np.zeros((n_lost_points, len(hist_preds_df.columns))),
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zeros_df = DataFrame(np.zeros((n_lost_points, len(hist_preds_df.columns))),
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columns=hist_preds_df.columns)
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columns=hist_preds_df.columns)
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