Model management¶
AI lifecycle
Models are the output of training sessions and encapsulate everything the algorithm has learned. You can train a model in the training center, and then test the model in the test center. The model's primary function is serving in an inference deployment, where it gets data through an API endpoint and produces predictions.
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Model training
Train your models with default or advanced setup.
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Model testing
Test your model against new or existing data.