code: def get_model():
      model = keras.Sequential()
      model.add(keras.layers.Dense(1))
      model.compile(
          optimizer=keras.optimizers.RMSprop(learning_rate=0.1),
          loss="mean_squared_error",
          metrics=["mean_absolute_error"],
      )
      return model
  
imports: import numpy
  import keras
label_desc: Use image node_id 1 for calling a global function with example usage: get_model() and returns: model