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