code: def test_predict_set_cpus(ray_start_4_cpus):
      preprocessor = DummyPreprocessor()
      predictor = SklearnPredictor(
          estimator=model, preprocessor=preprocessor
      )
  
      data_batch = np.array([[1, 2], [3, 4], [5, 6]])
      predictions = predictor.predict(data_batch, num_estimator_cpus=2)
  
      assert len(predictions) == 3
      assert predictor.get_preprocessor().has_preprocessed
      assert predictor.estimator.n_jobs == 2
  
file_path: ray/python/ray/train/tests/test_sklearn_predictor.py
imports: import re
  import numpy
  import pandas
  import pytest
  from sklearn.ensemble import RandomForestClassifier
  from ray.air.constants import MAX_REPR_LENGTH
  from ray.air.util.data_batch_conversion import _convert_pandas_to_batch_type
  from ray.train.predictor import TYPE_TO_ENUM
  from ray.train.sklearn import SklearnCheckpoint, SklearnPredictor
  from ray.train.tests.dummy_preprocessor import DummyPreprocessor
label_desc: Use image node_id 4 for calling a global function with example usage: test_predict_set_cpus(ray_start_4_cpus) without return types