docstr: Returns the list of all models involved in the current model.
  For single model, it returns the list with the name of the model.
  For ensemble model, it returns the list with the name of the ensemble and all internal models
  (used to build ensemble).
  For single model but trained on stacked data, it returns the list with the name of the model
  (names of models used in stacking are not included).
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code: def involved_model_names(self):
      """Returns the list of all models involved in the current model.
      For single model, it returns the list with the name of the model.
      For ensemble model, it returns the list with the name of the ensemble and all internal models
      (used to build ensemble).
      For single model but trained on stacked data, it returns the list with the name of the model
      (names of models used in stacking are not included)."""
      return [self._name]
  
imports: import copy
  import gc
  import json
  import logging
  import os
  import sys
  import time
  import uuid
  import zipfile
  import numpy
  import pandas
  from supervised.algorithms.factory import AlgorithmFactory
  from supervised.algorithms.registry import BINARY_CLASSIFICATION, MULTICLASS_CLASSIFICATION, REGRESSION, AlgorithmsRegistry
  from supervised.callbacks.callback_list import CallbackList
  from supervised.exceptions import AutoMLException
  from supervised.preprocessing.exclude_missing_target import ExcludeRowsMissingTarget
  from supervised.preprocessing.preprocessing import Preprocessing
  from supervised.utils.additional_metrics import AdditionalMetrics
  from supervised.utils.config import LOG_LEVEL
  from supervised.utils.metric import Metric
  from supervised.validation.validation_step import ValidationStep
  from supervised.utils.jsonencoder import MLJSONEncoder
  import joblib
  import optuna
  from supervised.tuner.optuna.tuner import OptunaTuner
  from supervised.utils.config import mem
  from supervised.utils.learning_curves import LearningCurves
label_desc: Use image node_id 12 for calling the ModelFramework obj's underlying member method code with example usage: obj.involved_model_names() and returns: list