pymoto.AggScaling

class pymoto.AggScaling(which: str, damping=0.0)

Scaling strategy for aggregation to improve approximation of the true minimum or maximum. An adaptive scaling factor is determined based on the ratio between the true and approximated minimum/maximum, which is used to correct the approximation

__init__(which: str, damping=0.0)

Initialize scaling strategy for aggregation

Parameters:

• which – Scale to true min or max

• damping (optional) – Damping factor between [0, 1], for a value of 0.0 the aggregation approximation is corrected to the exact maximum or minimum of the input set. A value of 1.0 disables scaling updates. Defaults to 0.0.

Methods

__init__(which[, damping])

Initialize scaling strategy for aggregation