I am learning Google's vertex AI, AutoML with Python. I have created the single label dataset, pipelines, endpoint and deployed the model using google's UI.
Now I have more data then how to append that into existing dataset? or retrain the existing model?
There is currently no way to update a model with new data, the only way as of now is to create a new dataset and train a new model on it. As mentioned in this stack link, it is not possible to load new data in any trained Machine Learning model. For more information you can refer to the above stack link.
However, you can file a Feature Request on the issue tracker, if you are interested in the implementation of this feature.