def update_job()

in elasticsearch_serverless/_sync/client/ml.py [0:0]


    def update_job(
        self,
        *,
        job_id: str,
        allow_lazy_open: t.Optional[bool] = None,
        analysis_limits: t.Optional[t.Mapping[str, t.Any]] = None,
        background_persist_interval: t.Optional[
            t.Union[str, t.Literal[-1], t.Literal[0]]
        ] = None,
        categorization_filters: t.Optional[t.Sequence[str]] = None,
        custom_settings: t.Optional[t.Mapping[str, t.Any]] = None,
        daily_model_snapshot_retention_after_days: t.Optional[int] = None,
        description: t.Optional[str] = None,
        detectors: t.Optional[t.Sequence[t.Mapping[str, t.Any]]] = None,
        error_trace: t.Optional[bool] = None,
        filter_path: t.Optional[t.Union[str, t.Sequence[str]]] = None,
        groups: t.Optional[t.Sequence[str]] = None,
        human: t.Optional[bool] = None,
        model_plot_config: t.Optional[t.Mapping[str, t.Any]] = None,
        model_prune_window: t.Optional[
            t.Union[str, t.Literal[-1], t.Literal[0]]
        ] = None,
        model_snapshot_retention_days: t.Optional[int] = None,
        per_partition_categorization: t.Optional[t.Mapping[str, t.Any]] = None,
        pretty: t.Optional[bool] = None,
        renormalization_window_days: t.Optional[int] = None,
        results_retention_days: t.Optional[int] = None,
        body: t.Optional[t.Dict[str, t.Any]] = None,