From the course: AWS Certified Machine Learning Engineer Associate (MLA-C01) Cert Prep

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Docker containers with SageMaker

Docker containers with SageMaker

From the course: AWS Certified Machine Learning Engineer Associate (MLA-C01) Cert Prep

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Docker containers with SageMaker

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- [Instructor] Hello guys, and welcome again. So in today's lesson we are going to talk about Docker containers with Amazon SageMaker. So as we've mentioned before, we use the built-in algorithms in order to train our models. And we've mentioned different built-in algorithms, we've mentioned different use cases for each built-in algorithm, but what we haven't mentioned yet is how to use those algorithms in order to train or deploy your model. So what if you have a training code? What if you want to use a built-in algorithm? How could you use it? So in this lesson we are going to address this fact. So now let's talk about how you could train on Amazon SageMaker. So first, the first method to use is the CreateTrainingJob API. And when you use this API, you need to specify some variables. So the first variable, you need to specify the algorithm. So you need to specify the name of the algorithm and the training image of the algorithm. You also need to specify the hyperparameters for this…

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