ml_pipeline

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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 ....

Aliases
  • ml_pipeline
Documentation reproduced from package sparklyr, version 0.8.3, License: Apache License 2.0 | file LICENSE

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