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
|
209
建一个
BatchPredictor
，然后在数据集上使用其
predict
方法。在示例中，我
们需要使用特定框架的预测器类，即
XGBoostPredictor
，指示
AIR
如何正确加
载检查点：
from ray.train.batch_predictor import BatchPredictor
from ray.train.xgboost import XGBoostPredictor
checkpoint = best_result.checkpoint
batch_predictor = BatchPredictor.from_checkpoint(checkpoint, XGBoostPredictor)
predicted_probabilities = batch_predictor.predict(test_dataset)
predicted_probabilities.show()
❶
将
XGBoost
模型从检查点加载到
BatchPredictor
对象中。
❷
对测试数据集进行批量推理，以获取预测概率。如图
10.4
所示。
模型
批量推理
图 10.4：使用 AIR
BatchPredictor
从 AIR Checkpoint 对 AIR Dataset 进行批量推理
10.2.5
部署
你可以利用
Ray Serve
部署推理服务，通过
HTTP
进行查询，而不是直接使用
BatchPredictor
与模型进行交互。实现方法是使用
PredictorDeployment ...
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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.