A YAML file called MLTable that tells Azure Machine Learning how to load the data files sitting beside it as a table. AutoML and parallel jobs consume it, and you reference the containing folder rather than the file itself.
Also called AssetTypes.URI_MLTABLE.
Read more: Microsoft Learn
In the Ultra Transcenders books
Each book explains MLTable in context, with comparison tables and the common traps.
Terms in this definition
- YAML
A data format designed to be easy for people to read, used for Container Apps definitions, ACR multi-step tasks and Kubernetes manifests.
- Azure Machine Learning
Azure platform where you train, deploy, monitor and retrain models of your own, practising MLOps through tools such as pipelines, online endpoints, model monitoring and prompt flow.
- ELT
Extract, load, transform: raw data lands in the target system first and is transformed there. See ETL for the opposite order.
- Event
Table in Log Analytics where entries from Windows event logs are kept.
Related terms
- Data asset
In Azure Machine Learning, a versioned, named pointer to a storage location (
uri_file,uri_folderormltable) that behaves like a bookmark, leaving the data where it is rather than copying it. - mltable Python package
Python library for working with MLTable blueprints. You call
mltable.load()on the folder holding the file, thento_pandas_dataframe()to materialise,take()to sample rows, orsave()to write a blueprint out.