correlation_residual#

ctis.inverters.merit.correlation_residual(observed, expected, axis=None)[source]#

Compute Pearson’s correlation coefficient between the expected values and the residual.

Parameters:

  • observed (ScalarArray) – The measured values.

  • expected (ScalarArray) – The values predicted by the model.

  • axis (None | str | Sequence[str]) – The logical axis or axes over which to average the result.

Return type:

ScalarArray