docstr: :param dataframe: Model input data.
  :param params: Additional parameters to pass to the model for inference.
  
                 .. Note:: Experimental: This parameter may change or be removed in a future
                                         release without warning.
  
  :return: Model predictions.
docstr_tok: [":","param","dataframe",":","Model","input","data",".",":","param","params",":","Additional","parameters","to","pass","to","the","model","for","inference",".","..","Note",":",":","Experimental",":","This","parameter","may","change","or","be","removed","in","a","future","release","without","warning",".",":","return",":","Model","predictions","."]
code: def predict(
      self,
      dataframe,
      params: Optional[
          Dict[str, Any]
      ] = None,  # pylint: disable=unused-argument
  ):
      """
      :param dataframe: Model input data.
      :param params: Additional parameters to pass to the model for inference.
  
                     .. Note:: Experimental: This parameter may change or be removed in a future
                                             release without warning.
  
      :return: Model predictions.
      """
      return self.explainer(dataframe.values).values
  
imports: import os
  import tempfile
  import types
  import warnings
  from contextlib import contextmanager
  from typing import Any, Dict, Optional
  import numpy
  import yaml
  import mlflow
  import mlflow.utils.autologging_utils
  from mlflow import pyfunc
  from mlflow.models import Model, ModelInputExample, ModelSignature
  from mlflow.models.model import MLMODEL_FILE_NAME
  from mlflow.models.utils import _save_example
  from mlflow.tracking._model_registry import DEFAULT_AWAIT_MAX_SLEEP_SECONDS
  from mlflow.tracking.artifact_utils import _download_artifact_from_uri
  from mlflow.utils.docstring_utils import LOG_MODEL_PARAM_DOCS, format_docstring
  from mlflow.utils.environment import _CONDA_ENV_FILE_NAME, _CONSTRAINTS_FILE_NAME, _PYTHON_ENV_FILE_NAME, _REQUIREMENTS_FILE_NAME, _get_pip_deps, _mlflow_conda_env, _process_conda_env, _process_pip_requirements, _PythonEnv, _validate_env_arguments
  from mlflow.utils.file_utils import write_to
  from mlflow.utils.model_utils import _add_code_from_conf_to_system_path, _get_flavor_configuration, _validate_and_copy_code_paths, _validate_and_prepare_target_save_path
  from mlflow.utils.requirements_utils import _get_package_name
  from mlflow.utils.uri import append_to_uri_path
label_desc: Use image node_id 2 for calling the _SHAPWrapper obj's underlying member method code with example usage: obj.predict(dataframe, params) and returns: self