LinearizedPredictor
- remu.likelihood.LinearizedPredictor(predictor, evaluation_point=None, evaluation_steps=None)[source]
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
Notes
This is just a thin wrapper function to create a
ComposedMatrixPredictor. Instead of multiplePredictor, it only accepts a single one.