class_docstr: Class for decomposing target for both binary and multiclass
  classification task
class_docstr_tok: ["Class","for","decomposing","target","for","both","binary","and","multiclass","classification","task"]
code: def _get_output_data(
      self, input_data: InputData, prev_features: np.array
  ) -> OutputData:
      regression_task = Task(TaskTypesEnum.regression)
      output_data = self._convert_to_output(input_data, prev_features)
      output_data.supplementary_data.is_main_target = False
      output_data.task = regression_task
      return output_data
  
imports: from typing import Optional
  import numpy
  from sklearn.preprocessing import OneHotEncoder
  from fedot.core.data.data import InputData, OutputData
  from fedot.core.operations.evaluation.operation_implementations.implementation_interfaces import DataOperationImplementation
  from fedot.core.operations.operation_parameters import OperationParameters
  from fedot.core.repository.tasks import Task, TaskTypesEnum
label_desc: Use image node_id 4 for calling the DecomposerClassImplementation obj's underlying member method code with example usage: obj._get_output_data(input_data, prev_features) and returns: output_data