ml_pipeline

From sparklyr v1.4.0 by Yitao Li

Spark ML -- Pipelines

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 ....

Documentation reproduced from package sparklyr, version 1.4.0, License: Apache License 2.0 | file LICENSE

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