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- InverseSIP

# 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)

  Bases: `Model`

  Inverse Simple Imaging Polynomial

  Parameters:
    ap_order `python:int`

      order for the inverse transformation (AP coefficients)

    bp_order `python:int`

      order for the inverse transformation (BP coefficients)

    ap_coeff `python:dict`

      coefficients for the inverse transform

    bp_coeff `python: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)

    Evaluate the model on some input variables.