code: def test_keras():
      import tensorflow as tf
  
      X, y = boston_housing_data()
      X_train, X_test, y_train, y_test = train_test_split(
          X, y, test_size=0.3, random_state=123, shuffle=True
      )
  
      model = tf.keras.Sequential(
          [
              tf.keras.layers.Dense(32, activation=tf.nn.relu),
              tf.keras.layers.Dense(1),
          ]
      )
  
      optimizer = tf.keras.optimizers.Adam()
      model.compile(loss="mean_squared_error", optimizer=optimizer)
  
      model.fit(X_train, y_train, epochs=10)
      model.predict(X_test)
  
file_path: mlxtend/mlxtend/evaluate/tests/test_bias_variance_decomp.py
imports: import os
  import pandas
  import pytest
  from sklearn.ensemble import BaggingClassifier, BaggingRegressor
  from sklearn.model_selection import train_test_split
  from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor
  from mlxtend.data import boston_housing_data, iris_data
  from mlxtend.evaluate import bias_variance_decomp
label_desc: Use image node_id 6 for calling a global function with example usage: test_keras() without return types