Error in C2W2_Assignment for Feature Engineering

Course Q&A Machine Learning Engineering for Production(MLOps)
3

Hi! You’re on the right track. To resolve this, let’s go back a bit to the blank exercise. The last three lines of the boilerplate should look like:

    outputs[_transformed_name(_VOLUME_KEY)] = tf.cast(  
        
        # Use `tf.greater` to check if the traffic volume in a row is greater than the mean of the entire traffic volumn column
        tf.greater(None, None(tf.cast(inputs[_VOLUME_KEY], tf.float32))),
        
        tf.int64)

You should only modify the second line and only the None placeholders. inputs[_VOLUME_KEY] should be cast into a float. Then the result of tf.greater will be cast into tf.int64. Hope this helps!