model_server package# Submodules# model_server.model_server module# class model_server.model_server.ClassifierModel(name: str, model_dir: str | None = None, model=None)[source]# Bases: MLModelServer load()[source]# Load model from storage. predict(body: dict) → List[source]# Generate model predictions from sample. :param body : A dict of observations, each of which is an 1-dimensional feature vector. Returns model predictions as a List, one for each row in the body input List. Module contents#