Method res

bayes_opt/target_space.py:654–685

Get all target values and constraint fulfillment for all parameters. Returns ------- res: list A list of dictionaries with the keys 'target', 'params', and 'constraint'. The value of 'target' is the target value, the value of 'params' is a

(self)

        return res

    def res(self) -> list[dict[str, Any]]:
        """Get all target values and constraint fulfillment for all parameters.

        Returns
        -------
        res: list
            A list of dictionaries with the keys 'target', 'params', and
            'constraint'. The value of 'target' is the target value, the value
            of 'params' is a dictionary with the parameter names as keys and the
            parameter values as values, and the value of 'constraint' is the
            constraint fulfillment.

        Notes
        -----
        Does not report if points are within the bounds of the parameter space.
        """
        if self._constraint is None:
            params = [self.array_to_params(p) for p in self.params]

            return [{"target": target, "params": param} for target, param in zip(self.target, params)]

        params = [self.array_to_params(p) for p in self.params]

        return [
            {"target": target, "constraint": constraint_value, "params": param, "allowed": allowed}
            for target, constraint_value, param, allowed in zip(
                self.target,
                self._constraint_values,
                params,
                self._constraint.allowed(self._constraint_values),
            )
        ]

    def set_bounds(self, new_bounds: BoundsMapping) -> None:
        """Change the lower and upper search bounds.