ml_model
From sparklyr v0.3.9
by Javier Luraschi
Create an ML Model Object
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_.
Usage
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_; that is,ml_modelwill 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.
printandsummarymethods.
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