Batch Model Pipeline
Explore using Cloud Dataflow to create scalable batch pipelines that apply machine learning models to large datasets efficiently. Learn how to distribute models across workers, score records individually, and save predictions to BigQuery and Cloud Datastore for data science production workflows.
We'll cover the following...
We'll cover the following...
Cloud Dataflow provides a useful framework for scaling up sklearn models to massive datasets. Instead of fitting all the input data into a data frame, we can score each record individually in the process function and use ...