It would be nice if it supports Thin Plate Spline (TPS) interpolation.

The format of module is not completely compatible to sklearn. The reason for adopting to sklearn is because of the parameter optimization. Sklearn provides well-defined tool for tuning parameter and validation. Thus, making the module to adopt sklearn is kind of way to simplify future work.

1. Change get_params() to output the default parameter sets with {'name':value} instead.
2. Add relevant f