This repository contains the example Diabetes Prediction model code for Vantage ModelOps. We provide a number of demo projects and associated repositories. The goal of these examples is to provide a simple reference implementation for users and not to provide a detailed data science example for each use case.
Please refer to the Official Documentation for more information.
The example use case we deal with in this demo project is diabetes prediction. More specifically, we use the PIMA diabetes dataset and build a classification model to predict the likelihood that a given patient has diabetes based on certain medical features.
Git models are those models where we manage all the code for training evaluation and scoring. We provide examples in both Python and R and we provide notebooks for the Python example.
BYOM is related to Teradata BYOM where we use an open model format such as PMML or ONNX. In this example, we provide a notebook to produce the PMML model artefact along with examples for how to query it dynamically in Teradata.
STO allow us to train, evaluate and score micro models (individual models per data partition in Teradata). We provide notebooks for the Python STO example.