SeldonIO/ml-prediction-schema
Generic schema structure for machine learning model predictions
This project helps MLOps engineers, data scientists, and machine learning practitioners standardize how they describe the inputs and outputs of their machine learning models. It provides a common way to define the data types, structures, and meanings of features and predictions, whether they are simple numbers, categories, text, or complex tensors. The goal is to ensure consistent understanding and handling of model data across different stages of the machine learning lifecycle.
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Use this if you need a clear, consistent, and machine-readable way to describe the data going into and coming out of your machine learning models, especially when integrating with monitoring or other MLOps tools.
Not ideal if you are looking for a runtime implementation of a model serving protocol, as this schema focuses on metadata definition, not the data payload itself.
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Apache-2.0
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Last pushed
Oct 29, 2021
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