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16 changes: 16 additions & 0 deletions DESCRIPTION
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Package: SemiSupervised
Type: Package
Title: Safe Semi-Supervised Learning Tools
Version: 1.0
Date: 2018-5-07
Author: Mark Vere Culp
Maintainer: Mark Vere Culp <mvculp@mail.wvu.edu>
Depends: R (>= 2.10),methods
Suggests: caret,mlbench,kernlab,randomForest,glmnet,spa,e1071
LazyLoad: Yes
Description: Implements several safe graph-based semi-supervised learning algorithms. The first algorithm is the Semi-Supervised Semi-Parametric Model (S4PM) and the fast Anchor Graph version of this approach. For additional technical details, refer to Culp and Ryan (2013) <http://jmlr.org/papers/v14/culp13a.html>, Ryan and Culp (2015) <http://www.jmlr.org/papers/v16/ryan15a.html> and the package vignette. The underlying fitting routines are executed in C++. All tuning parameter estimation is optimized using K-fold Cross-Validation.
License: GPL-2
NeedsCompilation: yes
Repository: CRAN
Packaged: 2018-05-09 18:36:30 UTC; mculp
Date/Publication: 2018-05-11 09:59:25 UTC
65 changes: 65 additions & 0 deletions MD5
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295f143a4de737f28b1d9e7b0ce243b2 *DESCRIPTION
2828319ec6d1592799b2c4fda2dad579 *NAMESPACE
222bc2e1f5850ffd4af2764fc4f494fb *R/A_SemiSupervised-objects.R
891a9f3a93b4ddf0de3bb4ac164d7610 *R/SemiSupervised-external.R
f5d5f355222c005203ab5eea5f9f9cdf *R/SemiSupervised-internal.R
6a1c4c5e609028f02c710e64cc88d38b *R/agraph-external.R
093a7d11a90cd28eaf02452d200695e1 *R/agraph-internal.R
0d9a30b5c0aae0260b75f0fcc73cc80d *R/jtharm-external.R
fb98223e4c98d75ca51a2fe3384bc666 *R/jtharm-internal.R
fa5d7a2dbfca0af3e72404f3084fac32 *R/s4pm-external.R
42aea3df3dc6fe6063a6ecdc5580e65e *R/s4pm-internal.R
3ad9fd50bef159f13b3af3bc0ff91d46 *build/vignette.rds
e847b72bf7b5ae52f98942ea2ccc91c2 *data/powerplant.rda
6444b4777f64c0d64fa0ca4f2ae468f9 *demo/00Index
c4822d776710ed3f68ed209e2850e762 *demo/SemiSupervised.R
53257358fed79064638115c33eac8cd9 *inst/doc/SemiSupervised.Rnw
7ad75a67c3a9ecefc08541ea5339a229 *inst/doc/SemiSupervised.pdf
4faa91a89978a46632a22e3a85833e81 *inst/document_code/Generate_Figures.R
951bba25b20d1e929c6f512c4384abf4 *inst/document_code/Generate_Tables.R
22a14bbae95e01eb03b8861f7ea76a85 *inst/document_code/README.txt
d5b7b20fa3ad74238128b517bf329cd5 *inst/document_code/csvs/casp_CPU.csv
3a4614a1efe2912e25c101356f7d3219 *inst/document_code/csvs/casp_change_m.csv
241763063f8b0f0265571629e5c8d8ab *inst/document_code/csvs/perf_results.csv
0fa3e96afe09612ac7bab8f08441d566 *inst/document_code/run_casp_CPU.R
67f6f90417a732290291a28cabe40b74 *inst/document_code/run_casp_m.R
ff5f8be7ef89224c5432fb6cb1a28990 *inst/document_code/run_perforamcne.R
caff88e0e5ab4ee2deee5bb8e34f6226 *inst/document_code/source/base.R
fc774368d6c6a707c218ea043e2d93a9 *inst/document_code/source/data_reader.R
84e0e821eadc4b52deec1a60b104cd3c *man/AnchorGraph.Rd
47489aad4e541ab5539cc0cee81f9ebc *man/SemiSupervised-class.Rd
8a518dc2949dd61d70e21aaf625634f1 *man/SemiSupervised.control.Rd
b4098c0eb9676e537e9415e65c3467be *man/agraph-class.Rd
85cc31984483ddeef3406977f8bdbb4f *man/agraph.Rd
0b16e948ecd1037c2f425d009af83450 *man/cv.folds.Rd
7822f595602ccf5b83ad8fcb1f8f1c83 *man/dG.Rd
dd710550f347492888440c9e951a2dde *man/impute.median.Rd
8d3dba44bce81552956defd8a5ebb64d *man/jtharm-class.Rd
901d92e7691e8402a47b95f5ace3fd32 *man/jtharm.Rd
c5df96223f3b0f915072249c6ca8e2d9 *man/knnGraph.Rd
d0a841f9f4aa1111c6f957b4d343ca68 *man/powerplant.Rd
49c12e55578920efc1a4eb7e33e4ce1e *man/predict.agraph.Rd
1780bc90906d99eb925bd8f3542738cf *man/predict.jtharm.Rd
1832272a84ea162647b3fcd016e4f0ed *man/predict.s4pm.Rd
b0d24806855681f643523b9b406897c4 *man/s4pm-class.Rd
ee08a496eba159ee0f2de30bf6c6ab3f *man/s4pm.Rd
a2b1c960916bcb6c13df3f893a557241 *man/x.scaleL.Rd
4706e6fcaa5b25fec18d91b87d6cd2c5 *src/Anchor_Reg.c
e84d0733e0a7aa1e3f78a3b142a19eee *src/Anchor_Reg.h
270770188decaad651d1eabb3fb3b863 *src/LAE.c
fa5292b8172854610c6bb85fd86076bb *src/LAE.h
2a6f9e9e044a78154d3cfda5936d6f48 *src/Makevars
8304157c6b2083ebd369eb5fdb0b7b7e *src/general.c
9d54c4e82b79a58f027715d4fa454c28 *src/general.h
72a5911d6aed23c08696c036f7005ea0 *src/joint_harmonic.c
6efac7dae71afb1da0fed59f4e752e45 *src/joint_harmonic.h
6f3ba6d17963292201fdd6ca4529a5cd *src/s4pm.c
7436e57f84c3911c13afc8679b0b303a *src/s4pm.h
17a88293b73a58f5e0eead21a46487e2 *src/win_defs.c
7167c5b3fa63b759fa52b2692f887385 *src/win_defs.h
53257358fed79064638115c33eac8cd9 *vignettes/SemiSupervised.Rnw
e20a446d5206887a2b7e97b137b76d3d *vignettes/SemiSupervised.bib
851b1e8cdc8913b1d99a0bb60b37a25e *vignettes/fig1a.pdf
585e97d695db445b591ee3c8d5097356 *vignettes/fig1b.pdf
60aa9f24585fe0541eaa651a20dc4c9e *vignettes/fig_time1.pdf
939c21ca220255fc5a905590bda72796 *vignettes/fig_time2.pdf
53 changes: 53 additions & 0 deletions NAMESPACE
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useDynLib("SemiSupervised",.registration=TRUE,.fixes = "C_")
import("methods")
importFrom("stats", "as.formula", "delete.response", "dist", "kmeans",
"median", "model.frame", "model.matrix", "model.response",
"na.pass", "quantile", "terms","na.omit")
export(
"agraph",
"agraph.default",
"jtharm",
"jtharm.default",
"s4pm",
"s4pm.default",
"SemiSupervised.control",
"AnchorGraph",
"knnGraph",
"kgraph.predict",
"kgraph.symm",
"epsGraph",
"eps.predict",
"eps.symm",
"impute.median",
"dG",
"sG",
"aG",
"x.scaleL",
"getAnchor",
"cv.folds",
"h.est",
"extract.a",
"extract.xg",
"extract.g",
"inter.predict",
"euclidDist",
"cosineDist",
"ymatrix",
"xmatrix",
"gmatrix",
"measures",
"type",
"lparm",
"gparm",
"hparm",
"ymatrix<-",
"xmatrix<-",
"gmatrix<-",
"measures<-",
"type<-",
"lparm<-",
"gparm<-",
"hparm<-")

exportMethods("fitted","dim","show","predict")
exportClasses("SemiSupervised","parm")

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