Spark ML – Pipelines — ml_pipeline • sparklyr

Create Spark ML Pipelines

Usage

ml_pipeline(x, ..., uid = random_string("pipeline_"))

Arguments

x: Either a spark_connection or ml_pipeline_stage objects
...: ml_pipeline_stage objects.
uid: A character string used to uniquely identify the ML estimator.

Value

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 ....