code: def __init__(self):
      super().__init__()
      self.fc_ = paddle.nn.Linear(13, 1, None)
  
imports: import json
  import os
  from collections import namedtuple
  from unittest import mock
  import numpy
  import paddle
  import paddle.nn.functional
  import pandas
  import pytest
  import yaml
  from packaging.version import Version
  from paddle.nn import Linear
  from sklearn import preprocessing
  from sklearn.datasets import load_diabetes
  from sklearn.model_selection import train_test_split
  import mlflow.paddle
  import mlflow.pyfunc.scoring_server
  from mlflow import pyfunc
  from mlflow.models import Model, ModelSignature
  from mlflow.models.utils import _read_example
  from mlflow.store.artifact.s3_artifact_repo import S3ArtifactRepository
  from mlflow.tracking.artifact_utils import _download_artifact_from_uri
  from mlflow.types import DataType
  from mlflow.types.schema import ColSpec, Schema, TensorSpec
  from mlflow.utils.environment import _mlflow_conda_env
  from mlflow.utils.file_utils import TempDir
  from mlflow.utils.model_utils import _get_flavor_configuration
  from tests.helper_functions import PROTOBUF_REQUIREMENT, _assert_pip_requirements, _compare_logged_code_paths, _mlflow_major_version_string, assert_register_model_called_with_local_model_path, pyfunc_serve_and_score_model
label_desc: Use image node_id 1 to create a new UCIHousing object from inherited base classes: paddle.nn with example: obj = UCIHousing()