Blurr transforms structured, streaming raw data into features for model training and prediction using a high-level expressive YAML-based language called the Blurr Transform Spec (BTS). The BTS merges the schema and computation model for data processing.
The BTS is a data transform definition for structured data. The BTS encapsulates the business logic of data transforms and Blurr orchestrates the execution of data transforms. Blurr is runner-agnostic, so BTSs can be run by event processors such as Spark, Spark Streaming or Flink.
Yes, if: you are well on your way on the ML 'curve of enlightenment', and are thinking about how to do online scoring
Coming up with features is difficult, time-consuming, requires expert knowledge. 'Applied machine learning' is basically feature engineering --- Andrew Ng
Streaming BTS Tutorial | Window BTS Tutorial
Preparing data for specific use cases using Blurr:
Welcome to the Blurr community! We are so glad that you share our passion for building MLOps!
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Inspired by the (old school) Joel Test to rate software teams, here's our version for data science teams. What's your score?
Blurr is currently in Developer Preview. Stay in touch!: Star this project or email hello@blurr.ai
FAQs
Data aggregation pipeline for running real-time predictive models
We found that blurr demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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