aerosandbox.modeling.interpolation_unstructured
===============================================

.. py:module:: aerosandbox.modeling.interpolation_unstructured


Attributes
----------

.. autoapisummary::

   aerosandbox.modeling.interpolation_unstructured.x


Classes
-------

.. autoapisummary::

   aerosandbox.modeling.interpolation_unstructured.UnstructuredInterpolatedModel


Module Contents
---------------

.. py:class:: UnstructuredInterpolatedModel(x_data, y_data, x_data_resample = 10, resampling_interpolator = interpolate.RBFInterpolator, resampling_interpolator_kwargs = None, fill_value=np.nan, interpolated_model_kwargs = None)

   Bases: :py:obj:`aerosandbox.modeling.interpolation.InterpolatedModel`


   A model that is interpolated to unstructured (i.e., point cloud) N-dimensional data. Maps from R^N -> R^1.

   You can evaluate this model at a given point by calling it just like a function, e.g.:

   >>> y = my_interpolated_model(x)

   The input to the model (`x` in the example above) is of the type:
       * in the general N-dimensional case, a dictionary where: keys are variable names and values are float/array
       * in the case of a 1-dimensional input (R^1 -> R^1), it can optionally just be a float/array.
   If you're not sure what the input type of `my_interpolated_model` should be, just do:

   >>> print(my_interpolated_model) # Displays the valid input type to the model

   The output of the model (`y` in the example above) is always a float or array.

   See the docstring __init__ method of InterpolatedModel for more details of how to instantiate and use UnstructuredInterpolatedModel.



   .. py:attribute:: x_data_raw_unstructured


   .. py:attribute:: y_data_raw


.. py:data:: x