How does the Transform component ensure consistency between training and serving environments?
The Transform component plays a crucial role in ensuring consistency between training and serving environments in the field of Artificial Intelligence. It is an integral part of the TensorFlow Extended (TFX) framework, which focuses on building scalable and production-ready machine learning pipelines. The Transform component is responsible for data preprocessing and feature engineering, which are
How are TFX pipelines organized?
TFX pipelines are organized in a structured manner to facilitate the development and deployment of machine learning models in a scalable and efficient manner. These pipelines consist of several interconnected components that work together to perform various tasks such as data ingestion, preprocessing, model training, evaluation, and serving. In this answer, we will explore the