def from_config()

in aepsych/models/monotonic_rejection_gp.py [0:0]

• 28 lines of code
• 1 McCabe index (conditional complexity)

    def from_config(cls, config: Config) -> MonotonicRejectionGP:
        classname = cls.__name__
        num_induc = config.gettensor(classname, "num_induc", fallback=25)
        num_samples = config.gettensor(classname, "num_samples", fallback=250)
        num_rejection_samples = config.getint(
            classname, "num_rejection_samples", fallback=5000
        )

        lb = config.gettensor(classname, "lb")
        ub = config.gettensor(classname, "ub")
        dim = config.getint(classname, "dim", fallback=None)

        mean_covar_factory = config.getobj(
            classname, "mean_covar_factory", fallback=monotonic_mean_covar_factory
        )

        mean, covar = mean_covar_factory(config)

        monotonic_idxs: List[int] = config.getlist(
            classname, "monotonic_idxs", fallback=[-1]
        )

        return cls(
            monotonic_idxs=monotonic_idxs,
            lb=lb,
            ub=ub,
            dim=dim,
            num_induc=num_induc,
            num_samples=num_samples,
            num_rejection_samples=num_rejection_samples,
            mean_module=mean,
            covar_module=covar,
        )