Create an ML model object, wrapping the result of a Spark ML routine call.
The generated object will be an R list with S3 classes
ml_model(class, model, ..., .call = sys.call(sys.parent()))
- The name of the machine learning routine used in the
encompassing model. Note that the model name generated will be
ml_model_<class>; that is,
will be prefixed.
- The underlying Spark model object.
- Additional model information; typically supplied as named
- The R call used in generating this model object (ie,
the top-level R routine that wraps over the associated Spark ML
routine). Typically used for print output in e.g.