The server will be used to continuously update the model.
The server computes whether the model in production needs to be updated
by comparing the model set in the kptfile to the latest trained model;
if they aren't the same it returns true.
The server will be run with git-sync in a sidecar.
The tekton controller will call it to determine if a sync is needed and
if it is fire off a Tekton pipeline.
Add some CLI utilities for labeling AutoML models and getting models
so we can see what labels apply to a model.
Needs approval from an approver in each of these files:
- ~~[OWNERS](https://github.com/kubeflow/code-intelligence/blob/master/OWNERS)~~ [jlewi]
Approvers can indicate their approval by writing `/approve` in a comment
Approvers can cancel approval by writing `/approve cancel` in a comment
The server will be used to continuously update the model.
The server computes whether the model in production needs to be updated by comparing the model set in the kptfile to the latest trained model; if they aren't the same it returns true.
The server will be run with git-sync in a sidecar.
The tekton controller will call it to determine if a sync is needed and if it is fire off a Tekton pipeline.
Add some CLI utilities for labeling AutoML models and getting models so we can see what labels apply to a model.
Related to #155