code: def get_properties(dataset_properties=None):
      return {
          "shortname": "Liblinear-SVR",
          "name": "Liblinear Support Vector Regression",
          "handles_regression": True,
          "handles_classification": False,
          "handles_multiclass": False,
          "handles_multilabel": False,
          "handles_multioutput": False,
          "is_deterministic": False,
          "input": (SPARSE, DENSE, UNSIGNED_DATA),
          "output": (PREDICTIONS,),
      }
  
file_path: auto-sklearn/autosklearn/pipeline/components/regression/liblinear_svr.py
imports: from typing import Optional
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.forbidden import ForbiddenAndConjunction, ForbiddenEqualsClause
  from ConfigSpace.hyperparameters import CategoricalHyperparameter, Constant, UniformFloatHyperparameter
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.components.base import AutoSklearnRegressionAlgorithm
  from autosklearn.pipeline.constants import DENSE, PREDICTIONS, SPARSE, UNSIGNED_DATA
  from autosklearn.util.common import check_for_bool
label_desc: Use image node_id 4 for calling the LibLinear_SVR obj's underlying member method code with example usage: obj.get_properties(dataset_properties) and returns: dict