InverseSIP

class astropy.modeling.polynomial.InverseSIP(ap_order, bp_order, ap_coeff={}, bp_coeff={}, n_models=None, model_set_axis=None, name=None, meta=None)[source]

Bases: Model

Inverse Simple Imaging Polynomial

Parameters:
ap_orderpython:int

order for the inverse transformation (AP coefficients)

bp_orderpython:int

order for the inverse transformation (BP coefficients)

ap_coeffpython:dict

coefficients for the inverse transform

bp_coeffpython:dict

coefficients for the inverse transform

Attributes Summary

n_inputs

The number of inputs.

n_outputs

The number of outputs.

Methods Summary

__call__(*inputs[, model_set_axis, ...])

Evaluate this model using the given input(s) and the parameter values that were specified when the model was instantiated.

evaluate(x, y)

Evaluate the model on some input variables.

Attributes Documentation

n_inputs = 2

The number of inputs.

n_outputs = 2

The number of outputs.

Methods Documentation

__call__(*inputs, model_set_axis=None, with_bounding_box=False, fill_value=nan, equivalencies=None, inputs_map=None, **new_inputs)

Evaluate this model using the given input(s) and the parameter values that were specified when the model was instantiated.

evaluate(x, y)[source]

Evaluate the model on some input variables.