code: def model_creator(config):
      model = Sequential()
      model.add(Dense(12, input_shape=(8,), activation="relu"))
      model.add(Dense(8, activation="relu"))
      model.add(Dense(1, activation="sigmoid"))
  
      model.compile(
          loss="binary_crossentropy",
          optimizer="adam",
          metrics=["accuracy"],
      )
      return model
  
imports: import math
  from tensorflow.keras.models import Sequential
  from tensorflow.keras.layers import Dense
  import bigdl.orca.data.pandas
  from bigdl.orca import init_orca_context, stop_orca_context
  from bigdl.orca.learn.tf2.estimator import Estimator
label_desc: Use image node_id 1 for calling a global function with example usage: model_creator(config) and returns: model