Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Rcpp for everyone
Search
teuder
March 31, 2017
Technology
1
950
Rcpp for everyone
Brief introduction of learning resources for Rcpp.
teuder
March 31, 2017
Tweet
Share
More Decks by teuder
See All by teuder
あまぁいRcpp生活
teuder
1
450
Other Decks in Technology
See All in Technology
これからSREになる人と、これからもSREをやっていく人へ
masayoshi
6
4.1k
WAF に頼りすぎない AWS WAF 運用術 meguro sec #1
izzii
0
460
滅・サービスクラス🔥 / Destruction Service Class
sinsoku
6
1.5k
トラシューアニマルになろう ~開発者だからこそできる、安定したサービス作りの秘訣~
jacopen
2
1.5k
TAMとre:Capセキュリティ編 〜拡張脅威検出デモを添えて〜
fujiihda
1
110
個人開発から公式機能へ: PlaywrightとRailsをつなげた3年の軌跡
yusukeiwaki
11
2.7k
20250208_OpenAIDeepResearchがやばいという話
doradora09
PRO
0
170
Nekko Cloud、 これまでとこれから ~学生サークルが作る、 小さなクラウド
logica0419
2
730
7日間でハッキングをはじめる本をはじめてみませんか?_ITエンジニア本大賞2025
nomizone
2
1.4k
リアルタイム分析データベースで実現する SQLベースのオブザーバビリティ
mikimatsumoto
0
950
技術的負債解消の取り組みと専門チームのお話 #技術的負債_Findy
bengo4com
1
1.2k
[2025-02-07]生成AIで変える問い合わせの未来 〜チームグローバル化の香りを添えて〜
tosite
1
290
Featured
See All Featured
Distributed Sagas: A Protocol for Coordinating Microservices
caitiem20
330
21k
The Illustrated Children's Guide to Kubernetes
chrisshort
48
49k
Designing for humans not robots
tammielis
250
25k
Building Adaptive Systems
keathley
40
2.4k
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
eileencodes
33
2.1k
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
PRO
12
950
Building a Scalable Design System with Sketch
lauravandoore
460
33k
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
3.7k
YesSQL, Process and Tooling at Scale
rocio
171
14k
Imperfection Machines: The Place of Print at Facebook
scottboms
267
13k
KATA
mclloyd
29
14k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
356
29k
Transcript
3DQQGPSFWFSZPOF ବ@teuder
"CPVUNF ాਅथ .BTBLJ&5TVEB 1I% -JGFTDJFODFT #VTJOFTT$POTVMUBOU XJUI %BUB4DJFODF
3DQQ 3DQQJTBQBDLBHFUIBUFOBCMFTZPV UPJNQMFNFOU3GVODUJPOTJO$ #ZVTJOH3DQQ ZPVDBOXSJUF$ DPEFJOBTUZMFTJNJMBSUP3
None
%JSL&EEFMCVFUUFM
5PEBZ *EPOPUUBMLBCPVUIPXUPVTF3DQQ CVUJOUSPEVDFZPVTPNFVTFGVMSFTPVSDFT XIFOZPVXBOUUPMFBSO3DQQ
5IFNBKPSSFTPVSDFTGPS MFBSOJOH3DQQ "EWBODFE3 3DQQ(BMMFSZ 3DQQ/PUF 7JHOFUUFT
"EWBODFE3 (SFBUJOUSPEVDUJPOUP3DQQ #VUJUMBDLTTPNFEFUBJMT )PXDBO*NPWFUPUIFOFYUTUFQ
3DQQ(BMMFSZ (SFBUDPNQJMBUJPOPGHPPEFYBNQMFT #VUUIFJOGPSNBUJPOJTGSBHNFOUFE )PXDBO*HFUUJEZLOPXMFEHFBCPVU3DQQ
3DQQ/PUF (SFBU$ TUZMFSFGFSFODFEPDVNFOU #VUJUPOMZQSPWJEFMJNJUFEJOGPSNBUJPO )PXDBO*HFUNPSFQSBDUJDBM BOENPSFTZTUFNBUJDBMLOPXMFEHF
*OUIFTFEBZT *DPVMEOPUpOEBEPDVNFOUMJLFUIBU*XBOU #VUPOFEBZ *SFNFNCFSFEBQISBTF *`WFTFFOPOUIFJOUFSOFU
If there does not exist what you want, just create
it. That should have been the oath of HOXO-M ! ͳ͚Ε࡞Δɻ ͦΕ͕ϗΫιΤϜͷ͍ͩͬͨͣʂ
IUUQTXXXHJUCPPLDPNCPPLUFVEFSJOUSPEVDUJPOUPSDQQEFUBJMT *XSPUFB3DQQ8FC#PPL
&OHMJTIWFSTJPOJTBMTPBWBJMBCMF IUUQTXXXHJUCPPLDPNCPPLUFVEFSJOUSPEVDUJPOUPSDQQEFUBJMT
$POUFOUTPGUIFCPPL 7FDUPS .BUSJY -JTU %BUB'SBNF 4 3MJLFGVODUJPOT 1SPCBCJMJUZEJTUSJCVUJPOT 6TJOH3GVODUJPOTGSPN3DQQ "UUSJCVUFT
/"/BO*OG &OWJSPONFOU &SSPSIBOEMJOH BOENPSFʜ
4JODFUIF&OHMJTIWFSTJPO XBTSFMFBTFE 1BHFWJFXTEPVCMFEBOEJTTUJMMHSPXJOH 3FMFBTFPG&OHWFS /PW 5JNFTFSJFTPGQBHFWJFXTJOUIFMBTUNPOUIT
1BHFWJFXTCZDPVOUSJFT (FSNBOZJTUIFSEQMBDF #VUMBSHFMZCFIJOEGSPN64BOE+BQBO 1BHFWJFXTJOUIFMBTUNPOUIT
8IBUXPVMECF UIFHPPETJUVBUJPOUPVTF3DQQ w -PPQTJOXIJDIMBUFSJUFSBUJPOEFQFOETPOUIF QSFWJPVTJUFSBUJPO w 3FDVSSFOUDBMMTPGGVODUJPOJOMPPQ w "DDFTTJOHFBDIFMFNFOUTPGWFDUPSEBUBGSBNF w
$IBOHJOHTJ[FPGBWFDUPSBUSVOUJNF w 0QFSBUJPOUIBUOFFEBEWBODFEEBUBTUSVDUVSF BOEBMHPSJUIN
#FDBVTF3DQQSFRVJSFTZPVBOFYUSBDPTU :PVNJHIUCFBCMFUPNBYJNJ[FZPVSRVBMJUZPGMJGF XIFOZPVVTFJUUPCSFBLCPUUMFOFDLPGZPVSDPEF 8IBUXPVMECF UIFHPPETJUVBUJPOUPVTF3DQQ
*ONZDBTF $POWFSUJOHEBUBGSBNFUPTQBSTFNBUSJY df %>% as.matrix %>% Matrix::Matrix(sparse = TRUE) #VUDPOWFSUJOHNBUSJYGBJMTXIFOUIFEBUBJT
SFMBUJWFMZMBSHF BCPVUTFWFSBMUFOTPG(# df %>% asSparseMatrix 4P*DSFBUFB3DQQGVODUJPODPOWFSUJOHUIFEBUB EJSFDUMZUPTQBSTFNBUSJY
#include <Rcpp.h> using namespace Rcpp; %FpOJOHBGVODUJPO // [[Rcpp::export]] S4 asSparseMatrix(
DataFrame df ){ // prerequisite : // all the elements DataFrame is numeric/integer // and not containing NAs. // number of rows and columns int nrow = df.nrows(); int ncol = df.length();
6TJOHTUEWFDUPSJOTUFBEPG3DQQ7FDUPS #FDBVTFDIBOHJOHTJ[FPGWFDUPSBUSVOUJNF JTOPUFGpDJFOUJO3DQQ7FDUPS std::vector<R_xlen_t> rows; std::vector<R_xlen_t> cols; std::vector<double> vals;
4UPSJOHUIFQPTJUJPOTBOEWBMVFTPG OPO[FSPFMFNFOUTJOUIF%BUB'SBNF for(R_xlen_t col=0; col<ncol; ++col){ NumericVector column = df[col]; for(R_xlen_t row=0; row<nrow; ++row){ if(column[row]!=0.0){ rows.push_back(row+1); cols.push_back(col+1); vals.push_back(column[row]); } } }
$BMMJOH.BUSJYTQBSTF.BUSJY Environment env = Environment::namespace_env("Matrix"); Function sparseMatrix = env["sparseMatrix"];
$POWFSUJOHTUEWFDUPSUP/VNFSJD7FDUPS S4 sm = sparseMatrix( Named("i") = wrap(rows), Named("j") = wrap(cols), Named("x") = wrap(vals), Named("dims") = NumericVector::create(nrow,ncol)); 4FUUJOHSPXOBNFTBOEDPMOBNFT List dimnames = List::create(R_NilValue, df.names()); sm.attr("Dimnames") = dimnames; 3FUVSOJOHUIFTQBSTFNBUSJY return sm; }
$PODMVTJPO w :PVDBOJNQMFNFOU3GVODUJPOJO$ XJUI3DQQ w 5IFSFBSFTV⒏DJFOUSFTPVSDFTGPSMFBSOJOH3DQQ w 3DQQJTTVJUBCMFUPCSFBLCPUUMFOFDLTPGZPVSDPEF *IPQFNZl*OUSPEVDUJPOUP3DQQz XPVMEBJECSPBESBOHFPGQFPQMF
&OKPZ
"EWFSUJTJOH 605 1 2 3 4 5 6 7 8
9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 24 ষɹɹRcpp Rcpp RcppRͷؔΛC++Ͱ࣮Ͱ͖ΔύοέʔδͰ͢ɻRͱྨࣅͨ͠ελΠϧͰهड़Ͱ͖ ΔΑ͏ʹ࣮͞Ε͍ͯΔͨΊɺC++ʹਂ͍͕ࣝͳͯ͘ར༻͘͢͠ͳ͍ͬͯ·͢ɻ͠ ͔ɺͦͷͨΊͷ࣮ߦ٘ਜ਼ʹ͞Ε͍ͯͳ͍ͷͰɺ୭ͰϋΠύϑΥʔϚϯεͳ݁ՌΛ ಘΔ͜ͱ͕Ͱ͖·͢ɻ 24-1 Rcppͷ׆༻γʔϯ ࣍ͷΑ͏ͳέʔεC++Ͱ࣮͢Δ͜ͱʹΑΓɺRͱൺͯߴԽ͕ݟࠐΊ·͢ɻ ɾ ܁Γฦ͠ॲཧɺಛʹ࣍ͷॲཧ͕લͷॲཧʹґଘ͓ͯ͠ΓฒྻԽͰ͖ͳ͍ ɾ ϕΫ τϧߦྻͷݸʑͷཁૉΞΫηε͢Δඞཁ͕͋Δ ɾ ϕΫ τϧͷαΠζΛಈతʹมߋ͍ͨ͠ ɾ ߴͳσʔλߏΞϧΰϦζϜΛ༻͍ͨॲཧΛߦ͍͍ͨ RcppͷύϑΥʔϚϯεΛࣔͨ͢Ίɺ܁Γฦ͠ॲཧͷྫͱͯ͠MCMCΞϧΰϦζϜͷҰछͰ͋ ΔΪϒεαϯϓϥʔ ʢ1ʣ ͷ࣮ྫΛࣔ͠·͢ɻ͜ͷྫͰɺΪϒεαϯϓϥʔʹΑΓඪ४2ม ਖ਼ن͔ΒnαϯϓϦϯά͍ͯ͠·͢ɻ ·ͣൺֱͷͨΊRΛ༻͍࣮ͨྫΛࣔ͠·͢ ʢϦετ24.1ʣ ɻ Ϧε τ24.1ɹGibbs.R GibbsR <- function(b, n, t){ # 2มඪ४ਖ਼ن͔ΒnαϯϓϦ ϯά # b : 2มͷڞࢄ # n : αϯϓϧ # t : αϯϓϦ ϯάࣺͤͣͯΔִؒ X <- matrix(0, nrow = n, ncol = 2) x1 <- x2 <- 0 sd <- sqrt(1-b^2) for(i in 1:n){ for(j in 1:t){ x1 <- rnorm(1, b*x2, sd) x2 <- rnorm(1, b*x1, sd) ʢ1ʣ ߴ࣍ݩͷෳࡶͳ֬ʹै͏ཚΛੜ͢ΔϚϧίϑ࿈ϞϯςΧϧϩ๏ͱݺΕΔΞϧΰϦζϜͷҰछͰ͢ɻ 24-1 24 ষ ٕज़ධࣾɹ੫ࠐԁ