October 2021
Beginner to intermediate
416 pages
9h 3m
Korean
Content preview from 살아 움직이는 머신러닝 파이프라인 설계: 텐서플로와 함께하는 머신러닝 프로젝트 자동화
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89
4
장
데이터 검증
4.2.2
데이터에서 통계 생성
데이터 검증 프로세스의 첫 번째 단계는 데이터 요약 통계를 생성하는 것입니다. 예를 들어, 소
비자 불만
CSV
데이터를
TFDV
로 직접 로드하고 각 피처에 관한 통계를 생성할 수 있습니다.
import
tensorflow_data_validation
as
tfdv
stats
=
tfdv.generate_statistics_from_csv(
data_location=’/data/consumer_complaints.csv’,
delimiter=’,’)
다음 코드를 사용하여 매우 유사한 방법으로
TFRecord
파일에서 피처 통계를 생성할 수 있습
니다.
stats
=
tfdv.generate_statistics_from_tfrecord(
data_location=’/data/consumer_complaints.tfrecord’)
3
장에서
TFRecord
파일을 생성하는 방법을 살펴봤습니다. 두
TFDV
방법은 모두 최솟값, 최
댓값, 평균값을 포함하여 각 피처에 관한 요약 통계를 저장하는 데이터 구조를 생성합니다. 데
이터 구조는 다음과 같습니다.
datasets
{
num_examples:
66799
features
{
type:
STRING
string_stats
{
common_stats
{
num_non_missing: ...
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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.