Bases: astropy.modeling.polynomial.PolynomialBase
This is a base class for the 2D Chebyshev and Legendre models.
The polynomials implemented here require a maximum degree in x and y.
| Parameters: | x_degree : int
y_degree : int
x_domain : list or None
x_window : list or None
y_domain : list or None
y_window : list or None
param_dim : int
**params : dict
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Attributes Summary
| inputs | |
| outputs |
Methods Summary
| __call__(x, y[, model_set_axis]) | Evaluate this model using the given input(s) and the parameter values that were specified when the model was instantiated. |
| eval(*args, **kwargs) | Deprecated since version 1.0. |
| evaluate(x, y, *coeffs) | Evaluate the model on some input variables. |
| get_num_coeff() | Determine how many coefficients are needed |
| imhorner(x, y, coeff) | |
| invlex_coeff() | |
| prepare_inputs(x, y, **kwargs) | This method is used in __call__ to ensure that all the inputs to the model can be broadcast into compatible shapes (if one or both of them are input as arrays), particularly if there are more than one parameter sets. |
Attributes Documentation
Methods Documentation
Evaluate this model using the given input(s) and the parameter values that were specified when the model was instantiated.
Deprecated since version 1.0: The eval function is deprecated and may be removed in a future version. Use OrthoPolynomialBase.evaluate instead.
Evaluate the model on some input variables.
Determine how many coefficients are needed
| Returns: | numc : int
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This method is used in __call__ to ensure that all the inputs to the model can be broadcast into compatible shapes (if one or both of them are input as arrays), particularly if there are more than one parameter sets.