Ingest & validate data


ExampleGen


Ingests data into TFX pipelines and optionally splits the input dataset.

See guide  

StatisticsGen


Generates features statistics over both training and serving data.

See guide  

SchemaGen


Creates schema by inferring types, categories, and ranges from the training data.

See guide  

ExampleValidator


Identifies anomalies in training and serving data.

See guide  

Train & analyze model


Transform


Performs feature engineering on the dataset.

See guide  

Tuner


Tunes the hyperparameters of the model.

See guide  

Trainer


Trains a TensorFlow model.

See guide  

Evaluator


Performs deep analysis of training results and helps validate exported models.

See guide  

InfraValidator


Checks the model is actually servable from the infrastructure, and prevents bad models from being pushed.

See guide  

Deploy in production


Pusher


Deploys the model on a serving infrastructure.

See guide