September 2022
Intermediate to advanced
549 pages
11h 27m
Chinese
Content preview from 基于AWS的数据科学实践
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训练第一个模型
｜
267
import time
Import sagemaker
from sagemaker.lineage.visualizer import LineageTableVisualizer
viz = LineageTableVisualizer(sagemaker.session.Session())
df = viz.show(training_job_name='<TRAINING_JOB_NAME>')
输出应如下所示：
名称/源
方向 类别 关联类型
（
Association type
）
谱系类型
（
Lineage type
）
s3://.../output/bert-test Input DataSet ContributedTo artifact
s3://.../output/bert-validation Input DataSet ContributedTo artifact
s3://.../output/bert-train Input DataSet ContributedTo artifact
Input Image ContributedTo artifact
s3://.../output/model.tar.gz Output Model Produced artifact
SageMaker
谱系追踪自动记录输入数据、输出构件和
SageMaker
容器镜像。关联类
型展示了输入为该流水线步骤“作出贡献（
ContributedTo
）”。让我们随着第 ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.