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Currently, when in "feature view" (i.e. displaying live data and training samples as features), the features are dynamically calculated from the training samples when navigating between training samples. This uses the live pipeline, which creates glitches in the plot of the features of the live data. We should probably clone the pipeline and use the clone from calculating features of the training samples (and reset it before use).
The text was updated successfully, but these errors were encountered:
Currently, when in "feature view" (i.e. displaying live data and training samples as features), the features are dynamically calculated from the training samples when navigating between training samples. This uses the live pipeline, which creates glitches in the plot of the features of the live data. We should probably clone the pipeline and use the clone from calculating features of the training samples (and reset it before use).
The text was updated successfully, but these errors were encountered: