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- import numpy as np
- def calibrationStatistics(data,res):
- F = res['F']
-
- Stat = {
- 'rmseGain': rms(F[0,0:-1]-data.F[0,0:-1]),
- 'nrmseGain': rms(F[0,0:-1]-data.F[0,0:-1])/rms(data.F[0,0:-1]),
- 'rmseOffset': rms(F[1,0:-1]-data.F[1,0:-1]),
- 'nrmseOffset': rms(F[1,0:-1]-data.F[1,0:-1])/rms(data.F[1,0:-1])
- }
- return Stat
- def rms(x):
- return np.sqrt(np.mean(x ** 2))
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