def model()

in tensorflow-train-in-sagemaker-deploy-with-lambda/mnist-2.py [0:0]

• 13 lines of code
• 1 McCabe index (conditional complexity)

def model(x_train, y_train, x_test, y_test):
    """Generate a simple model"""
    model = tf.keras.models.Sequential([
        tf.keras.layers.Flatten(),
        tf.keras.layers.Dense(1024, activation=tf.nn.relu),
        tf.keras.layers.Dropout(0.4),
        tf.keras.layers.Dense(10, activation=tf.nn.softmax)
    ])

    model.compile(optimizer='adam',
                  loss='sparse_categorical_crossentropy',
                  metrics=['accuracy'])
    model.fit(x_train, y_train)
    model.evaluate(x_test, y_test)

    return model