LinearizedPredictor

remu.likelihood.LinearizedPredictor(predictor, evaluation_point=None, evaluation_steps=None)

Thin wrapper to create a linearized predictor.

Parameters:

predictorPredictor

The predictor that should be linearized.

evaluation_pointarray_like float, optional

Shape: (n_parameters,) Anchor point for the linearisation.

evaluation_stepsarray_like float, optional

Shape: (n_parameters,) Step away from the anchor point for the linearisation.

Returns:

predictorComposedMatrixPredictor

See also

ComposedMatrixPredictor

Notes

This is just a thin wrapper function to create a ComposedMatrixPredictor. Instead of multiple Predictor, it only accepts a single one.