Applied Machine Learning and High-Performance Computing on AWS by Mani Khanuja | Farooq Sabir | Shreyas Subramanian | Trenton Potgieter

Author:Mani Khanuja | Farooq Sabir | Shreyas Subramanian | Trenton Potgieter
Language: eng
Format: epub
Publisher: Packt Publishing Pvt Ltd
Published: 2022-12-30T00:00:00+00:00

Figure 7.6 – Specifying the container for model training along with training and validation data path in S3

As shown in Figure 7.7, we need to define the estimator, the instance type, and instance count, and set various hyperparameters needed by the XGBoost model. We will also start the training job by calling the fit method.

Figure 7.7 – Defining the SageMaker estimator for training and setting up the hyperparameters

Next, let’s create a batch transform job.

Creating a batch transform job for carrying out inference

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