ml_pipeline
Spark ML – Pipelines
Description
Create Spark ML Pipelines
Usage
ml_pipeline(x, ..., uid = random_string("pipeline_"))Arguments
| Argument | 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 ....