Question: How can you handle missing data in a TensorFlow dataset?Answer: Missing data can be handled using the tf.data.Dataset.skip and tf.data.Dataset.filter operations to skip or filter out examples with missing values.Example: dataset = dataset.filter(lambda x, y: tf.math.logical_not(tf.reduce_any(tf.math.is_nan(x)))) |
Is it helpful?
Yes
No
Most helpful rated by users: