tests/testthat/_snaps/ml-pipeline.md

In pysparklyr: Provides a 'PySpark' Back-End for the 'sparklyr' Package

Pipeline fits and predicts

Code
  class(fitted)
Output
  [1] "ml_connect_pipeline_model" "ml_pipeline_model"        
  [3] "ml_transformer"            "ml_connect_transformer"   
  [5] "ml_connect_pipeline_stage" "ml_pipeline_stage"

Code
  colnames(ml_transform(loaded, prepd))
Output
   [1] "mpg"         "cyl"         "disp"        "hp"          "drat"       
   [6] "wt"          "qsec"        "vs"          "am"          "gear"       
  [11] "carb"        "prediction"  "probability"

pysparklyr documentation built on April 3, 2025, 10:30 p.m.