This document discusses each of the fields present in a pipeline specification.
Before You Start #
- HPE Machine Learning Data Management’s pipeline specifications can be written in JSON or YAML.
- HPE Machine Learning Data Management uses its json parser if the first character is
{
. - A pipeline specification file can contain multiple pipeline declarations at once.
Minimal Spec #
Generally speaking, the only attributes that are strictly required for all scenarios are pipeline.name
and transform
. Beyond those, other attributes are conditionally required based on your pipeline’s use case. The following are a few examples of common use cases along with their minimally required attributes.