romtools.workflows.uq.MonteCarloResult#

class romtools.workflows.uq.MonteCarloResult(parameter_samples, qoi_values, mean, variance, standard_deviation, standard_error, run_times)[source]#

Bases: object

Outputs from a Monte Carlo QoI-mean estimate.

variance and standard_deviation describe the sampled QoI distribution. standard_error describes uncertainty in the estimated mean and equals standard_deviation / sqrt(number_of_samples). Each array has one entry per flattened QoI component.

Parameters:

  • parameter_samples (ndarray)

  • qoi_values (ndarray)

  • mean (ndarray)

  • variance (ndarray)

  • standard_deviation (ndarray)

  • standard_error (ndarray)

  • run_times (ndarray)

__init__(parameter_samples, qoi_values, mean, variance, standard_deviation, standard_error, run_times)#
Parameters:

  • parameter_samples (ndarray)

  • qoi_values (ndarray)

  • mean (ndarray)

  • variance (ndarray)

  • standard_deviation (ndarray)

  • standard_error (ndarray)

  • run_times (ndarray)

Return type:

None

Methods

__init__(parameter_samples, qoi_values, ...)

Attributes

parameter_samples

qoi_values

mean

variance

standard_deviation

standard_error

run_times