Loss Interpolations

class turbodesign.lossinterp.LossInterp[source]

Interpret the loss of an XY Graph with an additional 3rd variable

__call__(x: ndarray[tuple[Any, ...], dtype[_ScalarT]] | float, c: ndarray[tuple[Any, ...], dtype[_ScalarT]] | float | None = None) → float[source]

Pass in an array of x and c values

Parameters:

  • x (Union[npt.NDArray,float]) – value on x axis

  • c (Union[npt.NDArray,float,None]) – Third axis value

Returns:

y

Return type:

float

plot()[source]

Plot the data with predicted values