tempo.seldon.specs module

class tempo.seldon.specs.KubernetesSpec(model_details: tempo.serve.base.ModelSpec, runtime_options: tempo.serve.metadata.KubernetesRuntimeOptions)

Bases: object

Implementations = {<ModelFramework.SKLearn: 'sklearn'>: 'SKLEARN_SERVER', <ModelFramework.XGBoost: 'xgboost'>: 'XGBOOST_SERVER', <ModelFramework.MLFlow: 'mlflow'>: 'MLFLOW_SERVER', <ModelFramework.Tensorflow: 'tensorflow'>: 'TENSORFLOW_SERVER', <ModelFramework.PyTorch: 'pytorch'>: 'TRITON_SERVER', <ModelFramework.ONNX: 'ONNX'>: 'TRITON_SERVER', <ModelFramework.TensorRT: 'tensorrt'>: 'TRITON_SERVER', <ModelFramework.TempoPipeline: 'tempo'>: 'TEMPO_SERVER', <ModelFramework.Custom: 'custom'>: 'TEMPO_SERVER'}

property spec

tempo.seldon.specs.get_container_spec(model_details: tempo.serve.base.ModelSpec) → dict