Before storing, you must define how the feature will be organized within your managed feature store .
Pass raw data (e.g., an image) through a pre-trained model like DenseNet121 or EfficientNet. Remove the final classification layer. Before storing, you must define how the feature
This "drafts" or writes the computed feature into the offline and online storage layers. Feature Stores: the missing Data Layer for ML Pipelines Before storing, you must define how the feature