로그인   |  회원가입  |  사이트맵  |  Contact Us
  아이디 저장하기
 
홈 > 참여마당 > 나만의 SAS활용 노하우
[SAS 매뉴얼]Predictive Modeling Using High-Performance Analytics Procedures 2017.06.12
조정윤 498 0
http://www.mysas.co.kr/SAS_club/d_freeboard.asp?b_no=7321&gotopage=1&con=subject&keyword=&cmd=content&bd_no=04&gubun=

안녕하세요 ^^

 

Predictive Modeling Using SAS® High-Performance Analytics Procedures에 대한 매뉴얼을 공유 드립니다.

SAS E-Miner를 잘 활용하시는 사용자에게 유용한 매뉴얼이 될것 같습니다.

 

----------------------------------------------------------------------------------------------------

Chapter 1 Introduction to SAS® High-Performance Analytics ........................... 1-1
Demonstration: Growing and Scoring Forest Models ................................ .............
1.2 Overview of the SAS High-Performance Analytics Procedures ................................ .... 1-11
1.3 Shared Concepts and Topics (Self-Study)................................ ................................ ...... 1-17
Chapter 2 Exploratory Analysis and Descriptive Statistics............................... 2-1
2.1 Exploratory Analysis with the HPCORR, HPDMDB, and the HPSUMMARY Procedures ................................ ................................ ................................ ........................ 2-3
Demonstration: Exploring the Data ................................ ................................ .......... 2-7
2.2 Recoding Variables with the HPDS2 Procedure ................................ ............................ 2-15
Demonstration: Data Repair with the HPDS2 Procedure ................................ ....... 2-18
Chapter 3 Data Preparation and Transformation for Predictive Modeling ....... 3-1
3.1 Partitioning Data with the HPSAMPLE Procedure ................................ ......................... 3-3
Demonstration: Creating a Partition ................................ ................................ .......... 3-7
3.2 Imputing Missing Values with the HPIMPUTE Procedure ................................ ............. 3-8
Demonstration: Imputing Missing Values ................................ ............................... 3-13
3.3 Creating New Inputs with the HPBIN Procedure ................................ .......................... 3-20
Demonstration: Creating New Candidate Inputs ................................ .................... 3-26
3.4 Selecting Variables Using the HPREDUCE Procedure ................................ ................. 3-32
Demonstration: Selecting Candidate Inputs ................................ ............................ 3-38
Chapter 4 Building Binary Predictive Models ................................ .................... 4-1
4.1 Logistic Regression with the HPLOGISTIC Procedure ................................ .................. 4-3
Demonstration: Modeling a Binary Target with the HPLOGISTIC Procedure ........ 4-7
Demonstration: Using Weight of Evidence for a Categorical Input ........................ 4-18
4.2 Random Forests with the HPFOREST and HP4SCORE Procedures ............................ 4-25
Demonstration: Growing and Scoring Forest Models ................................ .............​ 

 
  Predictive Modeling Using SAS® High-Performance Analytics Procedures.pdf
다운로드 수 | 28
    
 
 [알아봅시다] 인지 컴퓨팅을 통한 고급분석 시장 동향
 오픈소스 언어에 능숙한 젊은 코더들을 위한 SAS Viya