class_docstr: An example data source that loads data from an sklearn data ``Bunch``.
docstr: Avoid including targets when predicting.
  
  Args:
      data: The scikit-learn data ``Bunch``.
  
  Returns:
      A sequence of samples / sample metadata.
docstr_tok: ["Avoid","including","targets","when","predicting",".","Args",":","data",":","The","scikit-learn","data","``","Bunch","``",".","Returns",":","A","sequence","of","samples","\/","sample","metadata","."]
code: def predict_load_data(self, data: Bunch) -> Sequence[Dict[str, Any]]:
      """Avoid including targets when predicting.
  
      Args:
          data: The scikit-learn data ``Bunch``.
  
      Returns:
          A sequence of samples / sample metadata.
  
      """
      return super().load_data(data.data)
  
imports: from typing import Any, Callable, Collection, Dict, List, Optional, Sequence, Tuple, Type
  import numpy
  import torch
  from flash.core.data.base_viz import BaseVisualization
  from flash.core.data.callback import BaseDataFetcher
  from flash.core.data.data_module import DataModule
  from flash.core.data.io.classification_input import ClassificationInputMixin
  from flash.core.data.io.input import DataKeys, Input
  from flash.core.data.io.input_transform import InputTransform
  from flash.core.data.utilities.classification import TargetFormatter
  from flash.core.data.utilities.samples import to_samples
  from flash.core.utilities.imports import _SKLEARN_AVAILABLE
  from flash.core.utilities.stages import RunningStage
  from flash.core.utilities.types import INPUT_TRANSFORM_TYPE
label_desc: Use image node_id 2 for calling the TemplateSKLearnClassificationInput obj's underlying member method code with example usage: obj.predict_load_data(data) and returns: super