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_", "ml_model").
The name of the machine learning routine used in the
encompassing model. Note that the model name generated will be
generated as ml_model_; that is, ml_model
will be prefixed.
model
The underlying Spark model object.
...
Additional model information; typically supplied as named
values.
.call
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.