Create Spark ML Pipelines
ml_pipeline(x, ..., uid = random_string("pipeline_"))Either a spark_connection or ml_pipeline_stage objects
ml_pipeline_stage objects.
A character string used to uniquely identify the ML estimator.
When x is a spark_connection, ml_pipeline() returns an empty pipeline object. When x is a ml_pipeline_stage, ml_pipeline() returns an ml_pipeline with the stages set to x and any transformers or estimators given in ....