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iter_list_collaboration_trained_models 

iter_list_collaboration_trained_models(
    collaboration_identifier: UUID,
    *,
    config_overrides: Optional[CleanRoomsMLClientConfig] = None,
    next_token: Optional[NextToken] = None,
    max_results: Optional[MaxResults] = None,
) -> Iterator[CollaborationTrainedModelSummary]
Source code in docs_src/capo_cleanroomsml/_services/clean_rooms_ml.py 
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def iter_list_collaboration_trained_models(
    self,
    collaboration_identifier: "capo_cleanroomsml.types.uuid.UUID",
    *,
    config_overrides: Optional[CleanRoomsMLClientConfig] = None,
    next_token: Optional["capo_cleanroomsml.types.next_token.NextToken"] = None,
    max_results: Optional["capo_cleanroomsml.types.max_results.MaxResults"] = None,
) -> "Iterator[capo_cleanroomsml.types.collaboration_trained_model_summary.CollaborationTrainedModelSummary]":
    _token = next_token
    while True:
        _response = self.list_collaboration_trained_models(
            collaboration_identifier,
            config_overrides=config_overrides,
            next_token=_token,
            max_results=max_results,
        )
        _page = _resolve_path(_response, ("collaboration_trained_models",))
        for _item in _page or []:
            yield _item
        _token = _resolve_path(_response, ("next_token",))
        if not _token:
            break