Spark ML – Pipelines
Create Spark ML Pipelines
ml_pipeline(x, ..., uid = random_string("pipeline_"))x |
Either a |
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uid |
A character string used to uniquely identify the ML estimator. |
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 ....
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