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
c("ml_model_<class>", "ml_model").
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
generated as ml_model_<class>; that is, ml_model
will be prefixed.
The underlying Spark model object.
Additional model information; typically supplied as named values.
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. print
and summary methods.