The StatisticsGen TFX pipeline component generates features statistics over both training and serving data, which can be used by other pipeline components. StatisticsGen uses Beam to scale to large datasets.
- Consumes: datasets created by an ExampleGen pipeline component.
- Emits: Dataset statistics.
StatisticsGen and TensorFlow Data Validation
StatisticsGen makes extensive use of TensorFlow Data Validation for generating statistics from your dataset.
Using the StatsGen Component
A StatisticsGen pipeline component is typically very easy to deploy and requires little customization. Typical code looks like this:
from tfx import components ... compute_eval_stats = components.StatisticsGen( examples=example_gen.outputs['examples'], name='compute-eval-stats' )