ml_pipeline: Spark ML - Pipelines
In rstudio/sparklyr: R Interface to Apache Spark

ml_pipeline

R Documentation

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 ....