Transformer#
Handle#
get_model_serving#
Connection.get_model_serving()
Get a reference to model serving to perform operations on. Model serving operates on top of a model registry, defaulting to the project's default model registry.
Returns
ModelServing. A model serving handle object to perform operations on.
Creation#
create_transformer#
ModelServing.create_transformer(script_file=None, resources=None)
Create a Transformer metadata object.
Lazy
This method is lazy and does not persist any metadata or deploy any transformer. To create a deployment using this transformer, set it in the predictor.transformer property.
Arguments
- script_file
Optional[str]: Path to a custom predictor script implementing the Transformer class. - resources
Optional[Union[hsml.resources.PredictorResources, dict]]: Resources to be allocated for the transformer.
Returns
Transformer. The model metadata object.
Retrieval#
predictor.transformer#
Transformers can be accessed from the predictor metadata objects.
predictor.transformer
Predictors can be found in the deployment metadata objects (see Predictor Reference). To retrieve a deployment, see the Deployment Reference.
Properties#
inference_batcher#
Configuration of the inference batcher attached to the deployment component (i.e., predictor or transformer).
resources#
Resource configuration for the deployment component (i.e., predictor or transformer).
script_file#
Script file ran by the deployment component (i.e., predictor or transformer).
Methods#
describe#
Transformer.describe()
Print a description of the transformer
to_dict#
Transformer.to_dict()
To be implemented by the component type