In the file core-concepts.md, the section on Pipeline includes a repeated paragraph. The first paragraph in the the pipeline section is repeated in the 3rd paragraph of the same section.
Within your repository, you will have one or more pipelines as part of your experimentation workflow. A ZenML
pipeline is a sequence of tasks that execute in a specific order and yield artifacts. The artifacts are stored
within the artifact store and indexed via the metadata store. Each individual task within a pipeline is known as a
step. The standard pipelines within ZenML are designed to have easy interfaces to add pre-decided steps, with the
order also pre-decided. Other sorts of pipelines can be created as well from scratch.
Pipelines are designed as simple functions. They are created by using decorators appropriate to the specific use case
you have. The moment it is `run`, a pipeline is compiled and passed directly to the orchestrator, to be run in the
orchestrator environment.
Within your repository, you will have one or more pipelines as part of your experimentation workflow. A ZenML
pipeline is a sequence of tasks that execute in a specific order and yield artifacts. The artifacts are stored
within the artifact store and indexed via the metadata store. Each individual task within a pipeline is known as a
step. The standard pipelines (like `TrainingPipeline`) within ZenML are designed to have easy interfaces to add
pre-decided steps, with the order also pre-decided. Other sorts of pipelines can be created as well from scratch.
In the file
core-concepts.md
, the section onPipeline
includes a repeated paragraph. The first paragraph in the the pipeline section is repeated in the 3rd paragraph of the same section.