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Script to use raw LLD data to test new algorythms #14595
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return (new_running_avg - prev_running_avg) < derivative_threshold_smad | ||
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#-----weighted moving average derivative--- | ||
import numpy |
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already have that above right
running_derivative.append(running_avg_derivative) | ||
running_avg.append(average) | ||
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# print(running_avg_derivative) |
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IMO just keep these prints in
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Changed it so that derivative is part of the graph instead
… average for each algorythm and derivative over time
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