TFX (TensorFlow Extended) — what is it?

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Answer

$Google's production ML platform for TensorFlow.$
$Pipeline of components: ExampleGen \to StatisticsGen \to SchemaGen \to ExampleValidator \to Transform \to Trainer \to Evaluator \to InfraValidator \to Pusher.$
$Runs on Apache Beam / Airflow / Kubeflow.$
$Emphasizes data validation + model analysis + versioning.$
$Powers Google's internal ML.$
$Alternatives: MLflow pipelines, Kubeflow Pipelines, Metaflow, ZenML.$
$TFX declining in favor of KFP + custom components.$

Check yourself — multiple choice

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Google TF production platform: ExampleGen → StatsGen → SchemaGen → Validator → Transform → Trainer → Evaluator → InfraValidator → Pusher; runs on Beam/Airflow/Kubeflow; declining favor of KFP + custom
Same as MLflow
Not real

TFX: Google's TF production platform; pipeline components; declining.

#mlops#pipeline

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