de33151f2d5af0ed28fdc71e98b000cf *DESCRIPTION
a438910e916dd558d18c42ef7f5c04a0 *NAMESPACE
178d8e7be9adf479427e04404a34485a *NEWS.md
8db6b53a07dddd795fcae4978bd3b942 *R/MLControl.R
324570dfc786eb315ea9f40c0921cc91 *R/MLInput.R
aa86b046b0b9501c4a1988cd259ba47c *R/MLMetric.R
1eaaaf568e2dfb8e73dcc3ca4476890a *R/MLModel.R
0c73d5a9df0121556d9d6c8459a77e62 *R/MLOptimization.R
8200c5e0cbbf9688f5f37ff1abfa8a56 *R/ML_AdaBagModel.R
0c61a5d4ad8b406ca5d87e34d263ff43 *R/ML_AdaBoostModel.R
e53fd31d087222099e62cca3df32ee98 *R/ML_BARTMachineModel.R
e101902f3cac48cf1cf90f71e5c4facc *R/ML_BARTModel.R
8df3d8390db7b4daffc8a7f7b4c66d3e *R/ML_BlackBoostModel.R
4d66e9f38df4f1212da2fa7e33709102 *R/ML_C50Model.R
a8f886f88d99008a8c6592ae790b6b75 *R/ML_CForestModel.R
4095270f4bb359e0b4d86e5092482c9c *R/ML_CoxModel.R
020a29013bb10e7d862a987160e8fd06 *R/ML_EarthModel.R
a2c66f9d2d59fe5735e407f584ab1a93 *R/ML_FDAModel.R
e8710ad55ec55be9aefeb6faf339969b *R/ML_GAMBoostModel.R
b1071d1b03b5e93d8648417c71aae420 *R/ML_GBMModel.R
4fb48925619bb283f2960f5ed29d9471 *R/ML_GLMBoostModel.R
5b70d4a384a4b8952654a616910706ba *R/ML_GLMModel.R
da7fc31057610993dcdea58132d7b322 *R/ML_GLMNetModel.R
ea4025740e2b6b11e9dc2f2e114d337a *R/ML_KNNModel.R
341373c345a7ef2637b588969830a2fb *R/ML_LARSModel.R
4357d674f769582cd017d90ba0e1c67a *R/ML_LDAModel.R
d8bf1e670ada7c4d759c4e811a7ec541 *R/ML_LMModel.R
8ea6fc2462887d5f3f181f41729ac5be *R/ML_MDAModel.R
a4a6504ac42d1e5c40faa61000ed06be *R/ML_NNetModel.R
ffc8d0589aba80bd918cd772e8b73055 *R/ML_NaiveBayesModel.R
ede7108c4bd0d56868e0600674abe89a *R/ML_PLSModel.R
de51b512c2a8e11971c31b67d6517d90 *R/ML_POLRModel.R
574353d6a9d34df89c691d2a2d8ba7b1 *R/ML_ParsnipModel.R
44f433d4b3a5b28d6f68b4b5aeba1ae8 *R/ML_QDAModel.R
e8cf34120e88696f0907cced17fb15e9 *R/ML_RFSRCModel.R
71f9c64e6b2e06e1451747464f7917f8 *R/ML_RPartModel.R
e2dc0e88e47e652e8ebccc0323f5e8bd *R/ML_RandomForestModel.R
bce9027368f92379119d6f727e52af14 *R/ML_RangerModel.R
101b2a3aa1bbc87dcc2ad3ec56dd4170 *R/ML_SVMModel.R
e2fac682f881febbb7a5be4dfbc9e791 *R/ML_StackedModel.R
f19efda6a072ba03081db1ef6f968a54 *R/ML_SuperModel.R
bf3bb368f6c4d9fd1c38d27ffc47f73c *R/ML_SurvRegModel.R
3c1cc358807efc79309b95feaa74d48b *R/ML_TreeModel.R
ff5592dd4267c5e54b8b197a2ec4e279 *R/ML_XGBModel.R
d2fa3c5ffd29419fac804dcac65ea2f8 *R/MachineShop-package.R
2c48c597334a137222970b57506df9a5 *R/ModelFrame.R
2b8d71db53670109c3dac17e7874daa2 *R/ModelRecipe.R
9e3122756730f32ba6b577165981206c *R/ModelSpecification.R
7434a50c9ba09814825cfe31616a9909 *R/TrainedInputs.R
39ad9047d893415211bffec1add4c706 *R/TrainedModels.R
9d9fd1dbef5f891cc5c1a9d151d76dbd *R/TrainingParams.R
671680ff24e0a5f18e27570e30414eef *R/append.R
7d098d63857e6c1ee356019101838d9d *R/calibration.R
c7d4456afeb4db549d02ece7543e96a9 *R/case_comps.R
ca80ff679b37045e4ec482220e372e27 *R/classes.R
14b8f38f33c39132fc814fe7008aa9f7 *R/coerce.R
cd1a4480f227304ae4403d53d7acd7c6 *R/combine.R
fcda2d91d31f81217ca1e30349974edc *R/conditions.R
4421cbf84e5b534e80752dfba828e50a *R/confusion.R
e06626d97744c4300232c5be97e11b1a *R/convert.R
9d8b3f1f15c94e39e7a1e6374e993f3c *R/data.R
e83596b95ba1f7ddec0f6dc9cf68a377 *R/dependence.R
da72e631e60c2da00131e94c8943bcce *R/diff.R
8c603b7dc74b6ce6d87745709dff0247 *R/expand.R
7b20db2a91b44082f8456ca6d865d261 *R/extract.R
a8595d54c5f15745e5fad4d6e25c7b4c *R/fit.R
ef6cf456021c027644cb9bb7dc24b607 *R/grid.R
504204b2d2a8b41dc62af0117710b630 *R/metricinfo.R
1c1f1bef1d8b1888282a3a9a1cf7898a *R/metrics.R
5cb91b4a340b7615b0bbf640c4af8f1c *R/metrics_factor.R
744c37d92fb079584c2b15d5df1870dc *R/metrics_numeric.R
58de9a190857797b428f6737aec953a4 *R/modelinfo.R
0f5c54428d0944231392c5ad74cabc51 *R/models.R
60b172697d3f9adfd0f16982b748c031 *R/performance.R
9942f38b1641c74e42d35cae47ca5d06 *R/performance_curve.R
ef72347b5cb47282fae12f0c9f3b5dbd *R/plot.R
cd84052857f9a0d560da55d1cec742a7 *R/predict.R
159b141a60bf20ffb3e064ebfff981e7 *R/predictors.R
b357f8ca235832f5271e7ff15333a16b *R/print.R
45c373c81f1970475e9378265ae4b7fd *R/recipe_roles.R
69f593311ca3997678478348ee87bc85 *R/reexports.R
d4182940bc427b4d409bd614c7839b0f *R/resample.R
66f1317cbc3f3cad9328cb9a76b31f5f *R/response.R
10c0d6434801f0e8ac7e3f154cd95089 *R/rfe.R
0cc037cfead9e014916e9911ca4ae625 *R/settings.R
bf3934153e490ffca7ae9974097bc72c *R/step_kmeans.R
87d5f1f4b398ca7beeafdb9c22a51080 *R/step_kmedoids.R
41b649434cfce8f5dee05c12f6405fdb *R/step_lincomp.R
ee369248665ad7f81e4b01ff64ca2cdc *R/step_sbf.R
b6af2b1869371273a082bb466063e46e *R/step_spca.R
4e2cd6611e4cca715d1e6d697f82d3b0 *R/summary.R
0623c56ce529e695f9b231afb1bae1fe *R/survival.R
de502fc9b276c36b1f808a5c3bf65901 *R/utils.R
66bf3589b532af101f11867a2d6fadb9 *R/varimp.R
33ff3b90dbd81f1cab556b9d3ae400d4 *README.md
1fc49893f9646974ad0195f02a36858b *build/vignette.rds
c26f6cfd0062113b7e0da8de106b57c8 *data/ICHomes.RData
35e49dfbe6b7474fb40eee2174f07f32 *inst/CITATION
7979d954acf56057c6259ea348f58132 *inst/doc/MLModels.R
ad3124ecec0cb5484e67f57cd01b348e *inst/doc/MLModels.Rmd
5a32cc3aa8c0c48272f894abf9b243d2 *inst/doc/MLModels.html
6f4c0966ad03d6dedada62120fb4b909 *inst/doc/UserGuide.R
68eeafffa58c754916077fd2141f9094 *inst/doc/UserGuide.Rmd
69a58162dd844c8fafccca26471d89db *inst/doc/UserGuide.html
9da886c4e6538bfc8b96a6669dd97817 *man/AdaBagModel.Rd
bd9ba5e348d99668c866ed45d543d849 *man/AdaBoostModel.Rd
4f046d841f34b1bfcf9b306fe906f82c *man/BARTMachineModel.Rd
02a9723c7e44530d3c320f34542aea57 *man/BARTModel.Rd
aa71d19329d66bd02eb024a1891bc98b *man/BlackBoostModel.Rd
6bae98d261d8758c40c5b4235664bb8a *man/C50Model.Rd
15215f35e23126a8a89c9dca9279307c *man/CForestModel.Rd
fe682b0c91fa6f19eeaa86dc77dd7086 *man/CoxModel.Rd
77af3857be0f2a94fac13463e417207f *man/DiscreteVariate.Rd
a542fe4682290f88f75b0e82f76bcb65 *man/EarthModel.Rd
6dad21cb48145e045afdf7ebd7381849 *man/FDAModel.Rd
c36e79cc2ef5db0325c0b7c1f11794fc *man/GAMBoostModel.Rd
6a1403d9fcc1465b19ec8f9c6f3b75e2 *man/GBMModel.Rd
c0a2f4b4296115d6ffd726edacedb4a0 *man/GLMBoostModel.Rd
05aa2a137a79ea8f7e8d08da627bff8c *man/GLMModel.Rd
0e227bf3818bd660fb9d81e21eeebc71 *man/GLMNetModel.Rd
529eb12ca22a5f1493894bc6736d53fc *man/ICHomes.Rd
385977372ace86e756a1a831c772ca78 *man/KNNModel.Rd
44232e1e3d12fbdf31c20dccb399b063 *man/LARSModel.Rd
fceeb6066fa84e082c2e3c7c628d1609 *man/LDAModel.Rd
9130add51d09fc8fed0bf16543438934 *man/LMModel.Rd
c2c2a0f745e76bde8c2c816f2b0bbd8e *man/MDAModel.Rd
854614bbd81dc9a99ff58376376453ae *man/MLControl.Rd
7949fe035de5214bbcec8e99405b3c63 *man/MLMetric.Rd
5b8b0cc36f0d8fde4260ccac726c91b8 *man/MLModel.Rd
f935f3d33c83b75f6921d43e271b38c8 *man/MachineShop-package.Rd
60a7244391e4a77818be4ffd2e8ab478 *man/ModelFrame-methods.Rd
e60e7d5038f56627515e85553bf8648d *man/ModelSpecification-methods.Rd
02007c4c194501884fc0331458038ca9 *man/NNetModel.Rd
b048c2d3396240d6582fd7de256735fe *man/NaiveBayesModel.Rd
8b316aff78f23100fccf23fdf5142e34 *man/PLSModel.Rd
3c7f30614ccf7a6ccaada8857ab9b33d *man/POLRModel.Rd
0bb6d7050bae496cd1157d454245ce49 *man/ParameterGrid.Rd
a8a91a761fc7c9da1cbfc194f9306f85 *man/ParsnipModel.Rd
cf798c44eeac6e7e10a4296747669ef1 *man/QDAModel.Rd
b83bba4af489a343318803631198d9f7 *man/RFSRCModel.Rd
860fea036c4dbd0ff6298db013814ed7 *man/RPartModel.Rd
1340231be50b9ffc0be012d13372b645 *man/RandomForestModel.Rd
2195d7c72366e088a23cf17093573a94 *man/RangerModel.Rd
2a035619576c295d03d8e30fde59ecb4 *man/SVMModel.Rd
071e77464bb712073bacb85fc239fc45 *man/SelectedInput.Rd
24be17d56fd43faa702ed741c30560fd *man/SelectedModel.Rd
1dd5b2fedb369b39f05f271397591e44 *man/StackedModel.Rd
471fad382a73a68fe2beb1e80ac50514 *man/SuperModel.Rd
c74a1bb7ce07b908ed6c8eb013062d2c *man/SurvMatrix.Rd
40e8a7c1c5e8ec3db74b78217ee897f3 *man/SurvRegModel.Rd
2e74674fb11a79b6fe92f9644a0bfeaa *man/TreeModel.Rd
f9c6afe0c579d4627a64e293ea57d2a5 *man/TunedInput.Rd
ef6cde0337c704ed8d8e36bce89ffc0d *man/TunedModel.Rd
633da85739efd792b5f89592db865636 *man/TuningGrid.Rd
70082c26331c8477f4f72212bce5d40e *man/XGBModel.Rd
bb12e81e62736cb3be027a5c845b3630 *man/as.MLModel.Rd
bb82b43621fa6b531df3f9cf9f2344e0 *man/calibration.Rd
3b86a77dfec44cdefab4ad822798dc14 *man/case_weights.Rd
fa926a46f9c4b3815b7e758d9b93d4d1 *man/combine-methods.Rd
c98a065e9ac240602b321cc879f66d2f *man/confusion.Rd
7f05a3b85b5fd77b794e3f384cae0e57 *man/dependence.Rd
bf6877fd847b786d1e9310544a6f4d09 *man/deprecated.Rd
3e4adc1e97b3fd14e6f55f5048e1d6e9 *man/diff-methods.Rd
7488ca02954e397c4a450b6f599fb1d4 *man/expand_model.Rd
b949f1d4198c54c989f5fc825a72e2fc *man/expand_modelgrid-methods.Rd
9d7995334568470673e8876f2b150885 *man/expand_params.Rd
08059550e853d46b67f3c6a5648d3be4 *man/expand_steps.Rd
2a2b99594276b657000c0bedc7262569 *man/extract-methods.Rd
f9b557049e430f840190e3c6ee42e2d6 *man/figures/README-unnamed-chunk-10-1.png
6a3d727859ebf0405c580e4d75e63f86 *man/figures/README-unnamed-chunk-10-2.png
0593a53e23a18671fc100bd8b0be8b05 *man/figures/README-unnamed-chunk-11-1.png
155b479e08eb6a09d7d0d6258f28a919 *man/figures/README-unnamed-chunk-11-2.png
e9fc31db737ac348c1d5c89ae98f9824 *man/figures/README-unnamed-chunk-11-3.png
2bb18c673cc4647f0f019511fd63aa2c *man/figures/README-unnamed-chunk-12-1.png
155b479e08eb6a09d7d0d6258f28a919 *man/figures/README-unnamed-chunk-12-2.png
e9fc31db737ac348c1d5c89ae98f9824 *man/figures/README-unnamed-chunk-12-3.png
e82785b6bc3afc40c995f58c2d305c88 *man/figures/README-unnamed-chunk-13-1.png
ade6b24dc1a273df2c18979e3c4ce1a9 *man/figures/README-unnamed-chunk-13-2.png
08e76e3eb0a059712b5289d7c7954d52 *man/figures/README-unnamed-chunk-13-3.png
b58edcdb1985d23a2b33c9cb6cfeaa1a *man/figures/README-unnamed-chunk-14-1.png
6a46d150ac5cae0ab89a48409b1c3364 *man/figures/README-unnamed-chunk-14-2.png
ba38eb787a9964ef56fec90deec96717 *man/figures/README-unnamed-chunk-14-3.png
5ec7670fe9ba7e39638531f7359e9f57 *man/figures/README-unnamed-chunk-15-1.png
bef149526c32096fbb32e1f6d13de0f8 *man/figures/README-unnamed-chunk-15-2.png
dcde5550dc3b5244ddefa61178d98275 *man/figures/README-unnamed-chunk-15-3.png
ddee85e5110aa633f2d913e444c7985d *man/figures/README-unnamed-chunk-16-1.png
6a3d727859ebf0405c580e4d75e63f86 *man/figures/README-unnamed-chunk-16-2.png
dcde5550dc3b5244ddefa61178d98275 *man/figures/README-unnamed-chunk-16-3.png
2d2280d7a5b8fb22e221592f0943a228 *man/figures/README-unnamed-chunk-17-1.png
ca5597963a8237bfd9b114adc5253f9e *man/figures/README-unnamed-chunk-17-2.png
7dd774b50916ed25c1f6c6e598b214bb *man/figures/README-unnamed-chunk-17-3.png
df62fa39ab9e81feec3d4386293d2819 *man/figures/README-unnamed-chunk-18-1.png
6a3d727859ebf0405c580e4d75e63f86 *man/figures/README-unnamed-chunk-18-2.png
3d4deb95358a5c54b23fcfb081e83f67 *man/figures/README-unnamed-chunk-19-1.png
b27d981268b2157217c2de88461a27e8 *man/figures/README-unnamed-chunk-3-1.png
b27d981268b2157217c2de88461a27e8 *man/figures/README-unnamed-chunk-4-1.png
d3b4099707e79cc53f3dd0bb02244f14 *man/figures/README-unnamed-chunk-5-1.png
c5312938275f92a49a79e43d72027276 *man/figures/README-unnamed-chunk-6-1.png
78ee3544f641d48cd10d9aec69fe8650 *man/figures/README-unnamed-chunk-7-1.png
c0528b2647e0425c66a0e4c9e3adeb5e *man/figures/README-unnamed-chunk-8-1.png
f935a4aa99c96725df38b2cb1a4e6c80 *man/figures/README-unnamed-chunk-9-1.png
d67fb49249ceb98196b24251d94960e6 *man/fit-methods.Rd
a6fefff61849fbcdda922cc4614d1b47 *man/inputs.Rd
c662c690b8d656db23fba97943b5bcd5 *man/lift.Rd
1ed3e9e2a7bef596a4584dbe6211d5d6 *man/metricinfo.Rd
cca255953b802765408106ca2f3b4db1 *man/metrics.Rd
9c982fb2feebd28dc6cdbff836f6703d *man/modelinfo.Rd
5e966fdacb73cc5c4e55ac3c7be447c9 *man/models.Rd
57d1495056af089db97088210ab91022 *man/performance.Rd
b2278fe7e691b1b5b12945e623d424d0 *man/performance_curve.Rd
7047c3bb5ad714e3b9e352451be1a4d4 *man/plot-methods.Rd
709940d670cc141885cbc4e523529cf0 *man/predict.Rd
dbb3999e5e4bf8cea63ce0e998f71fc6 *man/print-methods.Rd
3c3d2484b084480e6c8afbf6b7403353 *man/quote.Rd
63bdf50634d982513b532bfa853c4bac *man/recipe_roles.Rd
e961db79e4a2913e6b74ff1036a67a6b *man/reexports.Rd
80e103231218857ed4a772113d5aa947 *man/resample-methods.Rd
8442b53b0ea6aca1a8a15238c768ed73 *man/response-methods.Rd
3158b7970593223d537de2cb68b7ac3a *man/rfe-methods.Rd
5853867ff42e91584aeb77f984c67456 *man/set_monitor-methods.Rd
839eb72a86604b092e9376dfbf447d0f *man/set_optim-methods.Rd
cb701307aa1bd0468a748d6c76aed1c2 *man/set_predict.Rd
1ffc8a16c944e391b977c35ad7383903 *man/set_strata.Rd
87ea535c815ae139920f1c7bebe873a1 *man/settings.Rd
99df4dd50c6bb9ebea6f431abd561683 *man/step_kmeans.Rd
94aabfbe33357e86dfd671697e9d877c *man/step_kmedoids.Rd
10b423336bd9933fddbab595c6f72899 *man/step_lincomp.Rd
a6fd7da5547f69aa50025fc2e52fb176 *man/step_sbf.Rd
332a82c3ba455e549a3b846865af7b95 *man/step_spca.Rd
2bb6f23a6ced9f7ec06d01916defd1a3 *man/summary-methods.Rd
6050bb7dbc83fc11f16f52d3e0c000fa *man/t.test.Rd
e8625a9f24458f6065c32f065379dae5 *man/unMLModelFit.Rd
7fddbd401571c42cde9debb2d50903e4 *man/varimp.Rd
2f51c66a10ea81da39e429e2d08e44c2 *src/hazfit_efron.c
9ae9de7adfbc014f209014941701bf80 *src/init.c
51ab8daa181916e7049370dbc89034df *tests/testthat.R
6c2e14bb51c9e56037c9ced12c270d19 *tests/testthat/Rplots.pdf
2f03c341474d36e6c62f579eb0e0f087 *tests/testthat/helper-models.R
22f3cebb4ca130b14f6f501a1bddee87 *tests/testthat/helper-parallel.R
e8eabb9d7ad4bb6d6802454a22bf283d *tests/testthat/test-ML_AdaBagModel.R
2d55d06ea449828544253edca10233a0 *tests/testthat/test-ML_AdaBoostModel.R
a9f1943c923faefa3f5cd7f4ad3cd1c2 *tests/testthat/test-ML_BARTMachineModel.R
827982de6dc3bd3be12516c612cfbba3 *tests/testthat/test-ML_BARTModel.R
a9ad7cc6806be7feb0577d767fe13417 *tests/testthat/test-ML_BlackBoostModel.R
9c1d4a232ae6a56e782730f53b7db92a *tests/testthat/test-ML_C50Model.R
59b20a0489e67df8f881dc8b7eeede33 *tests/testthat/test-ML_CForestModel.R
4ee270dc722514fe1da8aeda1aa0ff69 *tests/testthat/test-ML_CoxModel.R
e9a9000008d8e460d9f5ee1afc85b944 *tests/testthat/test-ML_EarthModel.R
e9e9eff49c35e94e395cc217c46a266c *tests/testthat/test-ML_FDAModel.R
24be30e76e19237e187dc90a0f09a545 *tests/testthat/test-ML_GAMBoostModel.R
0e0ffe1c852ea7903dd34d165f997168 *tests/testthat/test-ML_GBMModel.R
1406c7c809f331bad54d594af4cee94d *tests/testthat/test-ML_GLMBoostModel.R
5ea332b34c691baaa84239bc8be0f37d *tests/testthat/test-ML_GLMModel.R
da08dc61d302d3ffd6847f68be4657b5 *tests/testthat/test-ML_GLMNetModel.R
1846a66e4008d6fefdef30960eb37522 *tests/testthat/test-ML_KNNModel.R
10de25bb8edae415365096307aff6c46 *tests/testthat/test-ML_LARSModel.R
d40ae7984f09af59962bf421cfd606b7 *tests/testthat/test-ML_LDAModel.R
07d1ecad732351ccb806ba7a7ae1a3d4 *tests/testthat/test-ML_LMModel.R
c595744f6a04d840b5761dba0aa815b8 *tests/testthat/test-ML_MDAModel.R
830e6cdf0134a949f0d7cd15071876ea *tests/testthat/test-ML_NNetModel.R
931467df5437a4037cd775a63fc4de1c *tests/testthat/test-ML_NaiveBayesModel.R
ea5773a7cbf3879ee6a10567cfc400b5 *tests/testthat/test-ML_PLSModel.R
58ffbee1bbc100184d4ce0a71ae49bc5 *tests/testthat/test-ML_POLRModel.R
d3506586016b17afbb2406ea44be363f *tests/testthat/test-ML_QDAModel.R
b00587e801afd774e7d47f83a8c6a857 *tests/testthat/test-ML_RFSRCModel.R
e769501435bcbec1c1f3feaf278e115b *tests/testthat/test-ML_RPartModel.R
c9418e4b2c62a8297f8e040e6544ef65 *tests/testthat/test-ML_RandomForestModel.R
beef8f71fe841bc631f296e4e0399e9e *tests/testthat/test-ML_RangerModel.R
ed71013296328f6fe90c34efbc9ebd2b *tests/testthat/test-ML_SVMModel.R
1fe377442e85bedc1221409750ce3740 *tests/testthat/test-ML_StackedModel.R
d4c8991559ee3b513231c55117a7d774 *tests/testthat/test-ML_SuperModel.R
6bb7bbff7e6dadcd6acf36724a6d801d *tests/testthat/test-ML_SurvRegModel.R
823523d9a06d2d4f19797ab5f13edce2 *tests/testthat/test-ML_TreeModel.R
e858f79625f91737cdacb01bdefd5936 *tests/testthat/test-ML_XGBModel.R
99fb7fbc4031d6d0191cc75bb202a58b *tests/testthat/test-ModelSpecification.R
acf0613a17b000d3b0f3ea91d4893f6e *tests/testthat/test-TrainedInputs.R
47092300d7650f44cdf9569ed9739dc2 *tests/testthat/test-TrainedModels.R
c2f5984f850fbabf84a369a3386cf992 *tests/testthat/test-combine.R
c9bfa0d7e3b88a0d2338c0d7e90965eb *tests/testthat/test-controls.R
4790264b06496d459be77a2b54788eee *tests/testthat/test-discrete-vars.R
56d7443d064e33d3ced73f34289fa45f *tests/testthat/test-grids.R
bc630e45ea2542d133bf0d36684cd0fb *tests/testthat/test-info.R
e304b3f661b2b8f001e3dd3479b0ce7a *tests/testthat/test-model-comparisons.R
d1fa96fe3702c634c5b026ee7827335f *tests/testthat/test-offsets.R
763f361956770f8fa89775ea7d526d34 *tests/testthat/test-rfe.R
9e77741c7dd1f9c43ef07833d8055fb4 *tests/testthat/test-settings.R
b6f9b0e89d9d17ec502e1f3680a5362f *tests/testthat/test-survival.R
66babdee767981a9d472de6d2a953a14 *tests/testthat/test-survival.txt
32c355e751b7d15f16ade9263fb4a7bd *tests/testthat/test-varimp.R
992abe2b3a70278db0ed23ee0b30a453 *tests/testthat/test-weights.R
ad3124ecec0cb5484e67f57cd01b348e *vignettes/MLModels.Rmd
68eeafffa58c754916077fd2141f9094 *vignettes/UserGuide.Rmd
436f3e1bc60243ac351baa44c5a37a7f *vignettes/bibliography.bib
bc04a02b3968e90906230a5442fbe0b8 *vignettes/img/FigModelDAG.png
d8a082c79ce50e3dc5fe379c7dd484fe *vignettes/img/FigNestedCV.png
56bd4cf499967993c95368eeccf878ed *vignettes/img/using_strategies_tune_plot-1.png
721af6efcc2a6d9dc3bee5bfae7066b7 *vignettes/setup.R
