In TensorFlow Extended (TFX), which component is used for orchestrating and managing machine learning pipelines on Google Cloud?
- TensorFlow Serving
- TensorFlow Data Validation
- TensorFlow Model Analysis
- TensorFlow Extended (TFX) Pipeline
Understanding the role of each TFX component is crucial for designing and implementing end-to-end machine learning pipelines on Google Cloud. The TFX Pipeline component serves as the backbone for orchestrating and managing pipelines, ensuring efficient and reliable execution of ML workflows in production environments.
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