mirror of
https://github.com/velocitatem/PHANTOM.git
synced 2026-05-31 08:33:36 +00:00
* chore: update provider and pricing snitch with agnostic system * cloning pipelines per mode instance * updating airline hero section * fix: must keep airflow secretkey * fix: fixture update to hotel not shop * chore: refactored to factory design pattern of pipelines * chore: clean up definition of composite class of providers
Products
Agents
Pipeline
Our pipeline technically should follow principles in a style like this:
- Each step should be defined as an inheriting child of an scikit pipeline step, the granularity of the steps is dictated by the following: a step should be a transformation, augmentation or computation independently, no single stage should run multiple in-itself. This way we can modularize properly all the components and track properly in airflow. A stage can be defined as an sklearn step but then must be transalted to a function that takes the context in our DAG of airflow. All parametrization must be done via contexts.