Amazon SageMaker
Developer Guide

Get the sagemaker boto3 Client

Import libraries and get a boto3 client, which you use to call the hyperparameter tuning APIs.

In the new Jupyter notebook, type the following code:

import sagemaker import boto3 from sagemaker.predictor import csv_serializer # Converts strings for HTTP POST requests on inference import numpy as np # For performing matrix operations and numerical processing import pandas as pd # For manipulating tabular data from time import gmtime, strftime import os region = boto3.Session().region_name smclient = boto3.Session().client('sagemaker')

Next Step

Get the Amazon SageMaker Execution Role

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