May 2024
Intermediate
252 pages
5h 31m
Chinese
Content preview from Ray 分布式机器学习：利用Ray 进行大模型的数据处理、训练、推理和部署
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Ray AIR
入门
|
207
图
10.2
展示了
AIR
训练器在给定
AIR
预处理器和缩放配置的情况下如何在
Ray
数据集上拟合
ML
模型。
10.2.3
调优器和检查点
调优器（
Tuner
）是
Ray 2.0
中作为
AIR
的一部分引入的，可通过
Ray Tune
提供
可扩展的超参数调优。调优器与
AIR Trainer
无缝集成，同时也支持任意训练函
数。在示例中，你可以将
trainer
传递给
Tuner
，而不是在
trainer
实例上调
用
fit()
。为此，需要使用参数空间实例化
Tuner
，即
TuneConfig
。此配置包
含了所有
Tune
特定的配置，如要优化的指标和可选的
RunConfig
，可用于配置
运行时的特定功能，比如
Tune
运行的日志详细程度。
继续使用之前定义的
XGBoostTrainer
，下面的代码将该
trainer
实例包装在
Tuner
中，以校准
XGBoost
模型的
max_depth
参数：
from ray import tune
param_space = {"params": {"max_depth": tune.randint(1, 9)}}
metric = "train-logloss"
from ray.tune.tuner import Tuner, TuneConfig
from ray.air.config import RunConfig
tuner = Tuner(
trainer,
param_space=param_space,
run_config=RunConfig(verbose=1), ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.