CrossValidatorModel (Transformer)
<cv_1> 
 (Parameters -- Tuning)
  estimator: Pipeline
             <pipeline_1> 
  evaluator: MulticlassClassificationEvaluator
             <eval1> 
    with metric f1 
  num_folds: 3 
  [Tuned over 4 hyperparameter sets]
 (Best Model)
  PipelineModel (Transformer) with 2 stages
  <pipeline_1> 
    Stages 
    |--1 RFormulaModel (Transformer)
    |    <r_formula_1> 
    |     (Parameters -- Column Names)
    |      features_col: features
    |      label_col: label
    |     (Transformer Info)
    |      formula:  chr "Species ~ Petal_Width + Petal_Length" 
    |--2 LogisticRegressionModel (Transformer)
    |    <logreg_1> 
    |     (Parameters -- Column Names)
    |      features_col: features
    |      label_col: label
    |      prediction_col: prediction
    |      probability_col: probability
    |      raw_prediction_col: rawPrediction
    |     (Transformer Info)
    |      coefficient_matrix:  num [1:3, 1:2] 9.28 19.73 -29 2.06 7.82 ... 
    |      intercept_vector:  num [1:3] -4.9 -50.2 55.1 
    |      num_classes:  int 3 
    |      num_features:  int 2 
    |      threshold:  num 0.5 
