Create an ML Model Object

Arguments

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()))

Arguments

class	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.
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.