This repo trains a model based on an Open Dataset that tracks NYC Yellow Taxi trips and various attributes around them. The goal is to for a given trip, predict whether there will be a tip or not. The model then will be converted to ONNX format and tracked by MLFlow.
Azure Machine Learning service provides a cloud-based environment to prep data, train, test, deploy, manage, and track machine learning models. This service fully supports open-source technologies such as PyTorch, TensorFlow, and scikit-learn and can be used for any kind of machine learning, from classical ML to deep learning, supervised and unsupervised learning.
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This ARM template creates a code job in Azure Machine Learning workspace.
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