In one data analysis project, I want to do an analysis on different models, one Parametric and the other NonParametric. But there are issues caused by the fact that we've got additional public methods in the NonParametric class, which aren't in the Parametric class. So this needs to be refactored, so that they both have the same public methods.
Being more rigorous about a specific public interface for all concrete subclasses of Model will aid in doing eventual model comparisons (e.g. #80).
In the Model class
[x] Define abstract methods (public) that subclasses of Model must implement. Use a methods (Abstract) block
In the NonParametric class
[ ] sort out the getExperimentData and extractDiscountFunctionSamples methods
In the Parametric class
[ ] Implement plot_discount_functions_in_grid method, see #170
In one data analysis project, I want to do an analysis on different models, one
Parametricand the otherNonParametric. But there are issues caused by the fact that we've got additional public methods in theNonParametricclass, which aren't in theParametricclass. So this needs to be refactored, so that they both have the same public methods.Being more rigorous about a specific public interface for all concrete subclasses of
Modelwill aid in doing eventual model comparisons (e.g. #80).In the
Modelclassmethods (Abstract)blockIn the
NonParametricclassgetExperimentDataandextractDiscountFunctionSamplesmethodsIn the
Parametricclassplot_discount_functions_in_gridmethod, see #170