Read about Hopsworks 3.1 and the new improvements in the feature store (time-series splits for training data, support for managing thousands of models), stability and user-interface.
Hopsworks 3.0 is a new release focused on best-in-class Python support, Feature Views unifying Offline and Online read APIs to the Feature Store, Great Expectations support, KServe and a Model serving
We go through the new features and developments in Hopsworks 2.5 that will benefit open-source users and customers alike.
We are introducing a new feature in Hopsworks UI - feature code preview - ability to view the notebook used to create a Feature Group or Training Dataset.
Integrate AWS SageMaker with Hopsworks to manage, discover and use features for creating training datasets and for serving features to operational models.
Hopsworks is replacing Horovod with Keras/TensorFlow’s new CollectiveAllReduceStrategy, a part of Keras/TensorFlow Estimator framework.
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