ml_pipeline: Spark ML - Pipelines

In sparklyr: R Interface to Apache Spark

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 ....

sparklyr documentation built on Nov. 5, 2025, 6:37 p.m.