Spark ML – Pipelines

R/ml_pipeline.R

ml_pipeline

Description

Create Spark ML Pipelines

Usage

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

Arguments

Arguments Description
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 ....