code: def test_keras_fitparams():
      import tensorflow as tf
  
      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, y, epochs=5)
  
imports: import os
  import numpy
  import pandas
  import pytest
  from sklearn.base import BaseEstimator
  from sklearn.linear_model import LogisticRegression
  from sklearn.tree import DecisionTreeClassifier
  from mlxtend.data import iris_data
  from mlxtend.evaluate import bootstrap_point632_score
  from mlxtend.utils import assert_raises
label_desc: Use image node_id 11 for calling a global function with example usage: test_keras_fitparams() without return types