From the course: Amazon Web Services Machine Learning Essential Training

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Use model from SageMaker endpoint

Use model from SageMaker endpoint - Amazon Web Services (AWS) Tutorial

From the course: Amazon Web Services Machine Learning Essential Training

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Use model from SageMaker endpoint

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- [Instructor] Now we're going to validate our model for use. We're going to generate a classification from a single observation from the train model using the endpoint. So you can see in this code cell we're setting a result variable equal to K-Means predictor calling predict against the training set and we're going to print the result. And I'm going to click in here and press shift-return to execute this cell. And you can see that we get this output in the format adjacent. The key is closest cluster. The value is a float 32 tensor and it's a 3, which is what we're expecting. And the label is the distance to cluster and the value is a tensor. This is the result that we expected. So a single prediction works. So next we can do a whole batch and see how well the clustering works. So we're going to scroll down and use this time value again and set the result to K-Means predictor predict from a set. And we're going to set a clusters variable equal to a label the closest cluster for r in…

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