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Release 0.8.27

Need Help?

The SuperCowPowers team is happy to give any assistance needed when setting up AWS and SageWorks. So please contact us at sageworks@supercowpowers.com or on chat us up on Discord

The SageWorks framework continues to flex to support different real world use cases when operating a set of production machine learning pipelines.

Note: These release notes cover the changes from 0.8.23 to 0.8.27

General

  • Plugin Launcher: A flexible way to test plugins
  • FeatureSpaceProximity (FSP): A Class for investigating feature space, neighbors, distances, etc.
  • ProximityGraph: A class to construct NetworkX Graphs. Uses the FSP class to pull neighbors, contruct edges via 'distances', etc.
  • Case

API Changes

  • KNNSpider() --> FeatureSpaceProximity()

    If you were previously using the KNNSpider that class has been replaced with FeatureSpaceProximity. The API is also a bit different please see the documentation on the FeatureSpaceProximity Class.

Minor Improvements

The model scripts used in deployed AWS Endpoints are now case-insensitive. In general this should make the use of the endpoints a bit more flexible for End-User Applications to hit the endpoints with less pre-processing of their column names.

CloudWatch default buffers have been increased to 60 seconds as we appears to have been hitting some AWS limits with running 10 concurrent glue jobs.

Questions?

The SuperCowPowers team is happy to answer any questions you may have about AWS and SageWorks. Please contact us at sageworks@supercowpowers.com or on chat us up on Discord