Demo Healthcare Metrics Scripts 
AWS Machine Learning
AUGUST 30, 2023
For a quantitative analysis of the generated impression, we use ROUGE (Recall-Oriented Understudy for Gisting Evaluation), the most commonly used metric for evaluating summarization. This metric compares an automatically produced summary against a reference or a set of references (human-produced) summary or translation.
AWS Machine Learning
NOVEMBER 21, 2022
Organizations across industries such as retail, banking, finance, healthcare, manufacturing, and lending often have to deal with vast amounts of unstructured text documents coming from various sources, such as news, blogs, product reviews, customer support channels, and social media. Healthcare and life sciences. Demo notebook.
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AWS Machine Learning
NOVEMBER 1, 2022
When the registered model meets the expected performance requirements after a manual review, you can deploy the model to a SageMaker endpoint using a standalone deployment script. Finally, we use another Lambda function to register the ML model and the performance metrics to the SageMaker model registry. SageMaker pipeline steps.
AWS Machine Learning
JANUARY 17, 2023
Healthcare and life sciences. It then chooses the hyperparameter values that result in a model that performs the best, as measured by a metric that you choose. We define the objective metric name, metric definition (with regex pattern), and objective type for the tuning job. Fraud detection. Computer vision. 0.79861.
AWS Machine Learning
DECEMBER 7, 2022
This post shows how Amazon SageMaker enables you to not only bring your own model algorithm using script mode, but also use the built-in HPO algorithm. You will learn how to easily output the evaluation metric of choice to Amazon CloudWatch , from which you can extract this metric to guide the automatic HPO algorithm.
AWS Machine Learning
APRIL 21, 2023
The code sets up the S3 paths for pipeline inputs, outputs, and model artifacts, and uploads scripts used within the pipeline steps. This step uses the built-in ProcessingStep with the provided code, evaluation.py , to evaluate performance metrics (accuracy, area under curve). Repeat the same for the second custom policy.
Vistio
JUNE 10, 2022
So doing that and then weaving also into the interactive guidance scripting tools that’s really going to direct a CSR through a call. Read more on this topic: QA and CSAT Scores: The Whack-a-Mole Game of Contact Center Metrics. I jump on the ability to just go and get a demo or listen to one of their podcasts to learn.
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