January 2024
Beginner to intermediate
292 pages
6h 42m
Korean
Content preview from 러닝 레이
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187
7
장
레이 트레인을 활용한 분산 모델 훈련
이터셋에 매핑합니다. 레이 데이터셋은 단 하나의 파라미터만 변경해
GPU
에서도 레이 액터를
사용하도록 설정합니다. 레이 액터를 사용한 작업은 효율이 높아집니다. 훈련한 모델 체크포
인트를 로드해
.
predict
_
pipeline
()
을 호출합니다. 이러면 레이 데이터셋을 사용해서 전체
데이터셋에 걸친 분산 배치 추론을 수행합니다.
from ray.train.torch import TorchPredictor
from ray.train.batch_predictor import BatchPredictor
batch_predictor = BatchPredictor(trained_model, TorchPredictor)
ds = load_dataset(
"nyc_tlc_data/yellow_tripdata_2021-01.parquet", include_label=False)
batch_predictor.predict_pipelined(ds, blocks_per_window=10)
이 예시를 통해 레이 트레인과 레이 데이터셋을 사용해서 엔드 투 엔드 머신러닝 워크플로를
단일 애플리케이션으로 구현하는 방법을 살펴봤습니다. 데이터셋을 피처화해 머신러닝 모델을
학습 및 검증한 뒤 단일 파이썬 스크립트에서 다른 데이터셋에 훈련된 ...
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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.