code: def get_optimizer(name="Adadelta"):
      if name == "SGD":
          return optimizers.SGD(clipnorm=1.0)
      if name == "RMSprop":
          return optimizers.RMSprop(clipnorm=1.0)
      if name == "Adagrad":
          return optimizers.Adagrad(clipnorm=1.0)
      if name == "Adadelta":
          return optimizers.Adadelta(clipnorm=1.0)
      if name == "Adam":
          return optimizers.Adam(clipnorm=1.0)
      if name == "Adamax":
          return optimizers.Adamax(clipnorm=1.0)
      if name == "Nadam":
          return optimizers.Nadam(clipnorm=1.0)
  
      return optimizers.Adam(clipnorm=1.0)
  
file_path: auto_ml/auto_ml/utils_models.py
imports: import dill
  import os
  import random
  import sys
  from auto_ml import utils
  from auto_ml import utils_categorical_ensembling
  from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor, ExtraTreesRegressor, AdaBoostRegressor, GradientBoostingRegressor, GradientBoostingClassifier, ExtraTreesClassifier, AdaBoostClassifier
  from sklearn.linear_model import RANSACRegressor, LinearRegression, Ridge, Lasso, ElasticNet, LassoLars, OrthogonalMatchingPursuit, BayesianRidge, ARDRegression, SGDRegressor, PassiveAggressiveRegressor, LogisticRegression, RidgeClassifier, SGDClassifier, Perceptron, PassiveAggressiveClassifier
  from sklearn.svm import LinearSVC, LinearSVR
  from sklearn.cluster import MiniBatchKMeans
label_desc: Use image node_id 8 for calling a global function with example usage: get_optimizer(name) and returns: optimizers, optimizers, optimizers, optimizers, optimizers, optimizers, optimizers, optimizers