ml_pipeline {sparklyr}

Spark ML – Pipelines

Description

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 ....