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measure module

A module to measure the consistency or the inconsistency between two data sets.

class gemseo_calibration.measure.CalibrationMeasure(output_name, name='', f_type=FunctionType.NONE)[source]

Bases: MDOFunction

A measure of the consistency (or inconsistency) between two data sets.

Initialize self. See help(type(self)) for accurate signature.

  • output_name (str) – The name of the output to be taken into account by the measure.

  • name (str) –

    The name of the function.

    By default it is set to “”.

  • f_type (MDOFunction.FunctionType) –

    The type of the function.

    By default it is set to “”.


Define the reference input-output data set.


reference_dataset (Dict[str, ndarray]) – The reference input-output data set.

Return type:


force_real: bool

Whether to cast the results to real value.

property full_output_name: str

The full name of the output.

has_default_name: bool

Whether the name has been set with a default value.

last_eval: OutputType | None

The value of the function output at the last evaluation.

None if it has not yet been evaluated.

maximize: ClassVar[bool] = False

Whether to maximize the calibration measure.

output_name: str

The name of the output used by the measure for calibration.

special_repr: str

The string representation of the function overloading its default string ones.

gemseo_calibration.measure.DataType(*args, **kwargs)

The type of data.

The data are set as {variable_name: variable_values} where variable_values is a 2D NumPy array whose rows are the samples and columns are the components of the variable.

alias of Dict[str, ndarray]