The batch services are used to process batch data stored in OBS buckets at a time.
A training job may have multiple code files. A boot file specifies the file from which the training job starts to run.
Built-in algorithms are training code built in ModelArts that can be directly reused.
A model can be deployed as a service on an edge server, then the edge server provides the service to peripheral devices.
Auto Learning is the process of automating model design, parameter tuning and training, and model compression and deployment with the labeled data. The process is free of coding and does not require developers' experience in model development.
Data objects operated by you during the development of an AI service form a directed graph. ModelArts records the complete graph and displays the graph information on the management console, allowing for accurate track on the entire development process.
A training job is a task submitted by you to train a model. You can edit and develop the code logic of the task in the development environment. After job running, a model is outputted.
In ModelArts, multiple versions of data are generated when data (such as datasets, training jobs, and models) of jobs of different types is modified. ModelArts records version information and displays it on the management console for you to accurately trace and compare changes between versions.
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