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Deborah Woods, Contact Center Manager, Costa Express Limited – With a strong track record of exceeding business metrics and a leader who can influence people at all levels and negotiate effectively, Deborah is a professional, goal-oriented people manager. We were excited to see her leading the conversation at MCW23 last week.
Query training results: This step calls the Lambda function to fetch the metrics of the completed training job from the earlier model training step. RMSE threshold: This step verifies the trained model metric (RMSE) against a defined threshold to decide whether to proceed towards endpoint deployment or reject this model.
AWS CDK provides the ability to manage changes for the complete solution. The automated pipeline includes steps for out-of-the-box model storage and metric tracking. About the Authors Kiran Kumar Ballari is a Principal Solutions Architect at Amazon Web Services (AWS).
trainer.train() trainer.save_model(model_dir) After you run the training job, you can run the rest of the cells in the notebook to inspect the evaluation metrics and classify the text on our trained model. Define metrics to log run.log_metric("metric_a", 0.5) Common metrics may include accuracy or loss. Vikram Elango is a Sr.
Integration with Existing Systems: APIs facilitate data sharing between CPQ and other core platforms like CRM, ERP, accounting, e-commerce, and more. Together, this enables the coordination of the dispersed teams necessary for serving massive multinational accounts.
As we continue to develop this feature to meet our customers’ needs, there are a few points to be aware of: Define your test suite and acceptance metrics before starting the journey. The maximum concurrency that you can expect for each model will be 16 per account. The default import quota for each account is three models.
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