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Swaps inputs or checkpoint outputs during workflow replays.
Distinct from Execution Pipeline Overrides: Distinct from GraphQL execution pipeline overrides: focuses on ML pipeline checkpoint and input swapping for replay isolation.
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ZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning pipelines and agentic workflows. It provides a unified framework that manages the entire lifecycle of machine learning assets, from data processing and model training to the deployment of persistent inference services. By decoupling pipeline logic from underlying compute and storage, the platform enables teams to transition workflows seamlessly from local development environments to production-grade cloud infrastructure. The platform distinguishes itself through a service-oriented
Swaps specific inputs or checkpoint outputs during a replay to isolate the impact of changes against a baseline execution.