from abc import ABC, abstractmethod
[docs]class ConstraintsGPR(ABC):
"""
Abstract base class of all Constraints. Serves as a template for creating new Kriging constraints for log-likelihood
function.
"""
[docs] @abstractmethod
def define_arguments(self, x_train, y_train, predict_function):
"""
Abstract method that needs to be implemented by the user which stores all the arguments in a dictionary and
return that dictionary inside a list.
"""
pass
[docs] @staticmethod
def constraints(theta_, kwargs):
"""
A static method, which take hyperaparameters and constraints argument and evaluate constraints value.
"""
pass