calix.common.algorithms.LinearPrediction

class calix.common.algorithms.LinearPrediction(probe_parameters: Union[int, numpy.ndarray], offset: float = 0, slope: float = 1)

Class implementing a first degree polynomial.

__init__(probe_parameters: Union[int, numpy.ndarray], offset: float = 0, slope: float = 1)

Parameters

probe_parameters – Parameter at which a measurement was or will be taken in order to determine the offsets for each calibration instance. Refer to PolynomialPrediction._predict for details.
offset – Offset (zeroth-degree) term of the linar function.
slope – Slope (first-degree) term of the linear function.

Methods

__init__(probe_parameters[, offset, slope])