code: def independentlinear60__ffnn():
      """4-Layer Neural Network"""
      from tensorflow.keras.layers import Dense
      from tensorflow.keras.models import Sequential
  
      model = Sequential()
      model.add(Dense(32, activation="relu", input_dim=60))
      model.add(Dense(20, activation="relu"))
      model.add(Dense(20, activation="relu"))
      model.add(Dense(1))
  
      model.compile(
          optimizer="adam",
          loss="mean_squared_error",
          metrics=["mean_squared_error"],
      )
  
      return KerasWrap(model, 30, flatten_output=True)
  
imports: import numpy
  import sklearn
  import sklearn.ensemble
  from sklearn.preprocessing import StandardScaler
label_desc: Use image node_id 12 for calling a global function with example usage: independentlinear60__ffnn() and returns: KerasWrap