mlos_bench.environments.remote.saas_env ======================================= .. py:module:: mlos_bench.environments.remote.saas_env .. autoapi-nested-parse:: Cloud-based (configurable) SaaS environment. Classes ------- .. autoapisummary:: mlos_bench.environments.remote.saas_env.SaaSEnv Module Contents --------------- .. py:class:: SaaSEnv(*, name: str, config: dict, global_config: dict | None = None, tunables: mlos_bench.tunables.tunable_groups.TunableGroups | None = None, service: mlos_bench.services.base_service.Service | None = None) Bases: :py:obj:`mlos_bench.environments.base_environment.Environment` Cloud-based (configurable) SaaS environment. Create a new environment for (configurable) cloud-based SaaS instance. :param name: Human-readable name of the environment. :type name: str :param config: Free-format dictionary that contains the benchmark environment configuration. Each config must have at least the "tunable_params" and the "const_args" sections. :type config: dict :param global_config: Free-format dictionary of global parameters (e.g., security credentials) to be mixed in into the "const_args" section of the local config. :type global_config: dict :param tunables: A collection of tunable parameters for *all* environments. :type tunables: TunableGroups :param service: An optional service object (e.g., providing methods to configure the remote service). :type service: Service .. py:method:: setup(tunables: mlos_bench.tunables.tunable_groups.TunableGroups, global_config: dict | None = None) -> bool Update the configuration of a remote SaaS instance. :param tunables: A collection of groups of tunable parameters along with the parameters' values. :type tunables: TunableGroups :param global_config: Free-format dictionary of global parameters of the environment that are not used in the optimization process. :type global_config: dict :returns: **is_success** -- True if operation is successful, false otherwise. :rtype: bool