code: def test_early_stopping_with_baseline(self):
      baseline = 0.6
      x_train = np.random.random((10, 5))
      y_train = np.random.random((10, 1))
      model = models.Sequential(
          (
              layers.Dense(1, activation="relu"),
              layers.Dense(1, activation="relu"),
          )
      )
      model.compile(optimizer="sgd", loss="mae", metrics=["mse"])
  
      patience = 3
      stopper = callbacks.EarlyStopping(
          monitor="mse", patience=patience, baseline=baseline
      )
      hist = model.fit(
          x_train, y_train, callbacks=[stopper], verbose=0, epochs=20
      )
      assert len(hist.epoch) >= patience
  
file_path: keras/keras/callbacks/early_stopping_test.py
imports: import numpy
  import pytest
  from keras import callbacks
  from keras import layers
  from keras import metrics
  from keras import models
  from keras import ops
  from keras import testing
label_desc: Use image node_id 4 for calling the EarlyStoppingTest obj's underlying member method code with example usage: obj.test_early_stopping_with_baseline() without return types