code: def pipeline2(filter_, gbc):
      return gbc
  
file_path: Hyperactive/examples/optimization_applications/sklearn_pipeline_example.py
imports: from sklearn.datasets import load_breast_cancer
  from sklearn.model_selection import cross_val_score
  from sklearn.feature_selection import SelectKBest, f_classif
  from sklearn.ensemble import GradientBoostingClassifier
  from sklearn.pipeline import Pipeline
  from hyperactive import Hyperactive
label_desc: Use image node_id 2 for calling a global function with example usage: pipeline2(filter_, gbc) and returns: gbc