predict()takes one argument, which is the model input data and returns the model output. The model input can be of arbitrary type as defined in
DeployedModel.predict(), but it must be serializable to json.
log_model()method, such as an
ExperimentRun, automatically supports logging custom models. They will be serialized in the right way for consumption downstream.