amazon-s3 - 如何将 s3 存储桶链接到 sagemaker 笔记本

Question

我正在尝试将我的 s3 存储桶链接到笔记本实例，但我无法:

这是我所知道的:

from sagemaker import get_execution_role

role = get_execution_role
bucket = 'atwinebankloadrisk'
datalocation = 'atwinebankloadrisk'

data_location = 's3://{}/'.format(bucket)
output_location = 's3://{}/'.format(bucket)

从存储桶中调用数据:

df_test = pd.read_csv(data_location/'application_test.csv')
df_train = pd.read_csv('./application_train.csv')
df_bureau = pd.read_csv('./bureau_balance.csv')

但是我不断收到错误并且无法继续。我还没有找到有多大帮助的答案。

PS:我是 AWS 新手

Answer 1

您可以使用下面的示例代码将 S3 数据加载到 AWS SageMaker Notebook 中。请确保 Amazon SageMaker 角色附加了策略以访问 S3。

[1] https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html

import boto3 
import botocore 
import pandas as pd 
from sagemaker import get_execution_role 

role = get_execution_role() 

bucket = 'Your_bucket_name' 
data_key = your_data_file.csv' 
data_location = 's3://{}/{}'.format(bucket, data_key) 

pd.read_csv(data_location)