code: def test_predict_sklearn():
      """Tests that we can generate predictions from a scikit-learn ``Bunch``."""
      bunch = datasets.load_iris()
      model = TemplateSKLearnClassifier(
          num_features=DummyDataset.num_features,
          num_classes=DummyDataset.num_classes,
      )
      datamodule = TemplateData.from_sklearn(
          predict_bunch=bunch, batch_size=1
      )
      trainer = Trainer()
      out = trainer.predict(
          model, datamodule=datamodule, output="classes"
      )
      assert isinstance(out[0][0], int)
  
imports: import os
  import numpy
  import pytest
  import torch
  from flash import Trainer
  from flash.core.data.io.input import DataKeys
  from flash.core.utilities.imports import _SKLEARN_AVAILABLE, _TOPIC_CORE_AVAILABLE
  from flash.template import TemplateSKLearnClassifier
  from flash.template.classification.data import TemplateData
  from torch import Tensor
label_desc: Use image node_id 7 for calling a global function with example usage: test_predict_sklearn() without return types