code: def step_three(X_train, y_train):
      print("step_three")
      # make sure we have pandas for this step, we need it to use the data_frame
      import pandas as pd  # noqa
      from sklearn.linear_model import LogisticRegression
  
      model = LogisticRegression(solver="liblinear", multi_class="auto")
      model.fit(X_train, y_train)
      return model
  
imports: from clearml.automation.controller import PipelineDecorator
  from clearml import TaskTypes
label_desc: Use image node_id 3 for calling a global function with example usage: step_three(X_train, y_train) and returns: model