Ingest & validate data
ExampleGen
Ingests data into TFX pipelines and optionally splits the input dataset.
StatisticsGen
Generates features statistics over both training and serving data.
SchemaGen
Creates schema by inferring types, categories, and ranges from the training data.
ExampleValidator
Identifies anomalies in training and serving data.
Train & analyze model
Transform
Performs feature engineering on the dataset.
Tuner
Tunes the hyperparameters of the model.
Trainer
Trains a TensorFlow model.
Evaluator
Performs deep analysis of training results and helps validate exported models.
InfraValidator
Checks the model is actually servable from the infrastructure, and prevents bad models from being pushed.
Deploy in production
Pusher
Deploys the model on a serving infrastructure.
