v2_model_server package#

Submodules#

v2_model_server.v2_model_server module#

class v2_model_server.v2_model_server.ClassifierModel(context=None, name: Optional[str] = None, model_path: Optional[str] = None, model=None, protocol=None, input_path: Optional[str] = None, result_path: Optional[str] = None, shard_by_endpoint: Optional[bool] = None, **kwargs)[source]#

Bases: mlrun.serving.v2_serving.V2ModelServer

load()[source]#

load and initialize the model and/or other elements

predict(body: dict) → List[source]#

Generate model predictions from sample.

Module contents#