ResourceLimitExceeded
¶
ResourceLimitExceeded(
data: ResourceLimitExceeded_, message: str | None = None, *, response: Response
)
Bases: ServiceError
Modeled error for Smithy shape com.amazonaws.sagemaker#ResourceLimitExceeded.
Raised by
-
AsyncSageMakerClient Operations-
add_association -
associate_trial_component -
attach_cluster_node_network_interface -
batch_add_cluster_nodes -
create_action -
create_ai_benchmark_job -
create_ai_recommendation_job -
create_ai_workload_config -
create_app -
create_artifact -
create_auto_ml_job -
create_auto_ml_job_v2 -
create_cluster -
create_cluster_scheduler_config -
create_compilation_job -
create_compute_quota -
create_context -
create_data_quality_job_definition -
create_device_fleet -
create_domain -
create_edge_deployment_plan -
create_edge_deployment_stage -
create_edge_packaging_job -
create_endpoint -
create_endpoint_config -
create_experiment -
create_feature_group -
create_flow_definition -
create_hub -
create_hub_content_reference -
create_human_task_ui -
create_hyper_parameter_tuning_job -
create_image -
create_image_version -
create_inference_component -
create_inference_experiment -
create_inference_recommendations_job -
create_job -
create_labeling_job -
create_mlflow_app -
create_mlflow_tracking_server -
create_model -
create_model_bias_job_definition -
create_model_card -
create_model_card_export_job -
create_model_explainability_job_definition -
create_model_package -
create_model_package_group -
create_model_quality_job_definition -
create_monitoring_schedule -
create_notebook_instance -
create_notebook_instance_lifecycle_config -
create_optimization_job -
create_partner_app -
create_pipeline -
create_processing_job -
create_project -
create_space -
create_training_job -
create_training_plan -
create_training_session -
create_transform_job -
create_trial -
create_trial_component -
create_user_profile -
create_workteam -
delete_workteam -
describe_user_profile -
import_hub_content -
register_devices -
retry_pipeline_execution -
search_training_plan_offerings -
send_pipeline_execution_step_failure -
send_pipeline_execution_step_success -
start_notebook_instance -
start_pipeline_execution -
start_session -
update_cluster -
update_cluster_scheduler_config -
update_compute_quota -
update_domain -
update_endpoint -
update_endpoint_weights_and_capacities -
update_feature_group -
update_inference_component -
update_inference_component_runtime_config -
update_mlflow_tracking_server -
update_model_card -
update_monitoring_alert -
update_monitoring_schedule -
update_notebook_instance -
update_notebook_instance_lifecycle_config -
update_space -
update_training_job -
update_user_profile -
update_workteam
-
-
SageMakerClient Operations-
add_association -
associate_trial_component -
attach_cluster_node_network_interface -
batch_add_cluster_nodes -
create_action -
create_ai_benchmark_job -
create_ai_recommendation_job -
create_ai_workload_config -
create_app -
create_artifact -
create_auto_ml_job -
create_auto_ml_job_v2 -
create_cluster -
create_cluster_scheduler_config -
create_compilation_job -
create_compute_quota -
create_context -
create_data_quality_job_definition -
create_device_fleet -
create_domain -
create_edge_deployment_plan -
create_edge_deployment_stage -
create_edge_packaging_job -
create_endpoint -
create_endpoint_config -
create_experiment -
create_feature_group -
create_flow_definition -
create_hub -
create_hub_content_reference -
create_human_task_ui -
create_hyper_parameter_tuning_job -
create_image -
create_image_version -
create_inference_component -
create_inference_experiment -
create_inference_recommendations_job -
create_job -
create_labeling_job -
create_mlflow_app -
create_mlflow_tracking_server -
create_model -
create_model_bias_job_definition -
create_model_card -
create_model_card_export_job -
create_model_explainability_job_definition -
create_model_package -
create_model_package_group -
create_model_quality_job_definition -
create_monitoring_schedule -
create_notebook_instance -
create_notebook_instance_lifecycle_config -
create_optimization_job -
create_partner_app -
create_pipeline -
create_processing_job -
create_project -
create_space -
create_training_job -
create_training_plan -
create_training_session -
create_transform_job -
create_trial -
create_trial_component -
create_user_profile -
create_workteam -
delete_workteam -
describe_user_profile -
import_hub_content -
register_devices -
retry_pipeline_execution -
search_training_plan_offerings -
send_pipeline_execution_step_failure -
send_pipeline_execution_step_success -
start_notebook_instance -
start_pipeline_execution -
start_session -
update_cluster -
update_cluster_scheduler_config -
update_compute_quota -
update_domain -
update_endpoint -
update_endpoint_weights_and_capacities -
update_feature_group -
update_inference_component -
update_inference_component_runtime_config -
update_mlflow_tracking_server -
update_model_card -
update_monitoring_alert -
update_monitoring_schedule -
update_notebook_instance -
update_notebook_instance_lifecycle_config -
update_space -
update_training_job -
update_user_profile -
update_workteam
-
from_aws_json_1_1
classmethod
¶
from_aws_json_1_1(
data: dict, message: str | None = None, *, response: Response
) -> ResourceLimitExceeded