⛓️Build a pipeline
Building pipelines is as simple as adding the `@step` and `@pipeline` decorators to your code.
You can now run this pipeline by simply calling the function:
When this pipeline is executed, the run of the pipeline gets logged to the ZenML dashboard where you can now go to look at its DAG and all the associated metadata. To access the dashboard you need to have a ZenML server either running locally or remotely. See our documentation on this here.
Check below for more advanced ways to build and interact with your pipeline.
Configure pipeline/step parameters
Name and annotate step outputs
Control caching behavior
Run pipeline from a pipeline
Control the execution order of steps
Customize the step invocation ids
Name your pipeline runs
Use failure/success hooks
Hyperparameter tuning
Attach metadata to steps
Fetch metadata within steps
Fetch metadata during pipeline composition
Enable or disable logs storing
Special Metadata Types
Access secrets in a step
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