pyuncertainnumber.calibration.iterative_filtering

Functions

iterative_filter(func, variables, nsamples, ...[, ...])

Performs the iterative filtering calibration method on a given function with uncertain inputs.

Module Contents

pyuncertainnumber.calibration.iterative_filtering.iterative_filter(func: callable, variables: dict, nsamples: int, thresholds: list, conditions: dict, folder: str, max_repetitions: int = 3, index: list = None, controls: list = None)

Performs the iterative filtering calibration method on a given function with uncertain inputs.

Parameters:

  • func (callable) – the function being analysed and used to get the outputs.

  • variables (dict) – a dictionary that contains the names and bounds of all variables within the function.

  • nsamples (int) – the number of samples taken for each variable.

  • thresholds (list) – the set of threshold filter values that the conditions will need to meet.

  • conditions (dict) – a dictionary of ‘correct’ values that the outputs of interest will need to meet.

  • folder (str) – where all outputs of this function will be stored in.

  • max_repetitions (int) – how many repetitions are allowed at a singular threshold value before stopping the process.

  • index (list) – a list of indexes referring to the list of variables that are being filtered.

  • controls (list) – a list of indexes referring to the variables whose values are unique to their condition and must be generated separately.