2504b40bffe715dd291c09a1f1a7e384 *DESCRIPTION
1f9edb43e4c4061e8eb062fbf80a4003 *NAMESPACE
b3df7743f6288c1be60432d40bcc6130 *NEWS.md
f444401c1bc68f1f44816a03aab13e7f *R/AllClasses.R
d8fa41d31937e26fbec35a1d25c2da0a *R/MLControl.R
8c6423d6981c0bf34d56999a1d3b64ad *R/MLMetric.R
7edd3fd1d6dd0c0ecabe928a2544ba24 *R/MLModel.R
463d9b015b98696a1f925ce520e4e9de *R/ML_AdaBagModel.R
97e565e441b7914f52ee3fa549aad59e *R/ML_AdaBoostModel.R
55dac57905691383e97eb3a6af128f9d *R/ML_BARTMachineModel.R
dab2547da51fa0eb6b28ba4b84d82adc *R/ML_BARTModel.R
462e9e5b3edfdd4e467c7a25b74f631a *R/ML_BlackBoostModel.R
840adf1ba18eeae5c82aaf3816798a71 *R/ML_C50Model.R
59bae51305dfad3e91911836cdb23447 *R/ML_CForestModel.R
1ed85d65d80676da14d4989c042346ea *R/ML_CoxModel.R
67abfcb8faedc315c34e90158aa2e1bd *R/ML_EarthModel.R
da8b214594df7bfdf0dc2933c9f87122 *R/ML_FDAModel.R
adc7e70ea7c38ad49b90a95999f6b0d3 *R/ML_GAMBoostModel.R
1f4681087cff0e85aae7ea295c763003 *R/ML_GBMModel.R
499ac4c0e9841b0f0dd9f503291e3a05 *R/ML_GLMBoostModel.R
89fdb79779e3e01c3fe50ca5048918d6 *R/ML_GLMModel.R
6577694e52cc19285a7a486b02728a04 *R/ML_GLMNetModel.R
3611c785ec93ba1e410938d26d99eaf9 *R/ML_KNNModel.R
91ded7680997c738d61948af54157955 *R/ML_LARSModel.R
b3821646d87f70ccc853e1f5b73d150f *R/ML_LDAModel.R
b5d10b81ebcd0093d37a32e662c64b14 *R/ML_LMModel.R
deec36fb04bbdc894ef69d3a1925cb9b *R/ML_MDAModel.R
72294b98758af70e1c29d78be5cd67f1 *R/ML_NNetModel.R
75f564172f3052e5489b298f30b988bb *R/ML_NaiveBayesModel.R
651d7db56d0fa4cf3d8f87adb13614a7 *R/ML_PLSModel.R
381018653382130b1d803dbd7b31c83b *R/ML_POLRModel.R
c8a6d20bc5470ba8b58d30d0722a78da *R/ML_QDAModel.R
93ad2a7a9bb6b2ba29125aaf6c6ec426 *R/ML_RPartModel.R
911765182e8c33fa25d7bab00765492f *R/ML_RandomForestModel.R
9d9b3e0dfc49fa458acdf158f0061e3e *R/ML_RangerModel.R
71f4ef3defc26ffe1134c86f2a7b1874 *R/ML_SVMModel.R
d33940c63f4f51791ae865988ed1ef23 *R/ML_StackedModel.R
0e8d2f6aae5dfaef1c8e321eaeb70f2e *R/ML_SuperModel.R
6eefb633cd066c2a54b3d8dc3507290f *R/ML_SurvRegModel.R
594ec2cb23d8f59cb4faa45311380029 *R/ML_TreeModel.R
63b716b57af9a82d389353352185d469 *R/ML_XGBModel.R
443a589e7a0025cf5f6ebadb1abe29b1 *R/MachineShop-package.R
ff60ae96d450e589faeaa86a0b2e5a0c *R/ModelFrame.R
d60d68350ef3326fea3d9d572b6b74c2 *R/ModelRecipe.R
e332bf057c3e1a539a4282630608cc69 *R/append.R
f360546ffc50646d7dc53a7a903e755d *R/calibration.R
37967cdf4be442601c145e19fa266093 *R/confusion.R
acfc21512cb409f863eeded0969438eb *R/convert.R
bde8addb17f497d84c40c9a9d4b32d34 *R/data.R
c0c589f181b21a52b332299ef4817dae *R/dependence.R
5f28083063ad8ccc397e1ade816ba494 *R/diff.R
8cda7e9433c72278d01efd92eefa80b6 *R/expand.model.R
bea9bc981386f06bb58b95f0a2a7f851 *R/extract.R
3b50d7c79c02d904293af59bddc8ed46 *R/fit.R
8e00f7488c8b3e235dd4cb569d874f24 *R/grid.R
8f9176d2a56fcd3bc1ff80bd29f7e0ef *R/lift.R
0f5e853b9efb62dae3a5644153897010 *R/metricinfo.R
3461405372e9723d038f3d5367e48f95 *R/metrics.R
0980b5ef380ab0e26ee1fce183bac547 *R/metrics_factor.R
c5e069936d94647c14d330be49293304 *R/metrics_numeric.R
d3c9fbd3cdb141dc7cfb2802c8659bfe *R/modelinfo.R
076c0df69c0f0b55f03ff1fae046d643 *R/performance.R
065afc4dccde02ebb80aff00c9892450 *R/performance_curve.R
e62c54a3c1db97ca38e625360eac65ed *R/plots.R
131b22212a7bf48dcc71cb270aac2b73 *R/predict.R
c4ad03859293ddce47e5a7a85d5bccb4 *R/predictors.R
975b4f09c4f9d7d64f818611e2fb8d36 *R/resample.R
99899a165dace385370ba206a2ae6523 *R/response.R
614912ba505024f2343969f630939f5d *R/show.R
b49e50802ce5d0317259811ad3eb5617 *R/summary.R
7d918e93c4d5c3a218f8cb7cabf4e9b7 *R/survival.R
a89a35e993dd8f9e81f6579ee4425bdb *R/tune.R
d308c91b189e4df1a7b36ba4806a59a4 *R/utils.R
4b6e6de9d6301dcf807e5a07641e5f0a *R/varimp.R
bd958c8040ff9a44dd1d544919ac4d8d *README.md
818cbeb6efa0539ad92c927808fe2387 *build/vignette.rds
c26f6cfd0062113b7e0da8de106b57c8 *data/ICHomes.RData
35e49dfbe6b7474fb40eee2174f07f32 *inst/CITATION
7490b35ff6fb0650d7be374f0f9b7899 *inst/doc/Introduction.R
9f55a009cd205dbf075552a7b2591f73 *inst/doc/Introduction.Rmd
3937fc9c250d400b5b020c8616579a29 *inst/doc/Introduction.html
22595bd7c4f9d92b4b37e22612f020b2 *inst/doc/MLModels.R
e552925243e565912f2ed6ec30f9045a *inst/doc/MLModels.Rmd
2d5cd62f7fad61ab50a28b2ad3a0b15a *inst/doc/MLModels.html
36085fde206d25156e1da5a769f1ddbb *man/AdaBagModel.Rd
6a4952cd9f5c7991f0c4433fee920a87 *man/AdaBoostModel.Rd
86a318033ee5506c56c18963c73984b4 *man/BARTMachineModel.Rd
44d5e3da125a6159f21fd242548c1a7f *man/BARTModel.Rd
8c5d355aa74f80e66cc6e848edd3a1f2 *man/BlackBoostModel.Rd
4e1fa8141b7a4b74ad8f83301134c55c *man/C50Model.Rd
116064b1df3413f9331949b19ea8d209 *man/CForestModel.Rd
a9a43a261bfb7f29fde78cbd4aebff63 *man/CoxModel.Rd
4ab2a42e46633ee6e2be88b43622649b *man/EarthModel.Rd
7902b442363f44f3d2037cbab7236f22 *man/FDAModel.Rd
4eedf4e76f501c138cd5804a8fe625a0 *man/GAMBoostModel.Rd
2eed2b143c52833aa49fde04f64facb9 *man/GBMModel.Rd
4f812068a9e842337005aeac5b574348 *man/GLMBoostModel.Rd
32e1b41c6f5570c6b08cfdb622578ba1 *man/GLMModel.Rd
78bc57aafe99aa24313fac72bc9f9c72 *man/GLMNetModel.Rd
515b0bec9d8a83c5aa3a9b3e240b6dc3 *man/Grid.Rd
ddd92a96db580872bf2a22b743a82cd1 *man/ICHomes.Rd
6012ff3cc04ebdbda210b38952816064 *man/KNNModel.Rd
9bffc27b0708eda23e8c3ae499c93573 *man/LARSModel.Rd
dcdf5862b6b3891ed251733a237b968e *man/LDAModel.Rd
f43c84b2f359b38a0e80654a643daddb *man/LMModel.Rd
c37a0fb5b4d23449023829b0fdb65546 *man/MDAModel.Rd
c0074b30aff8cc88c19b88edb2bcfbcf *man/MLControl.Rd
af2f12f9876feaa6f3de2e993398363b *man/MLMetric.Rd
a40df9a5ac74bb5c97572b552bf59fea *man/MLModel.Rd
2b83fa8a8b3ac57bcf7460d6ad6fe866 *man/MachineShop-package.Rd
0f0b6576a9c6e64fc964c72a184f746a *man/ModelFrame-methods.Rd
c8d962739d3bf216670c14db0a0c4030 *man/NNetModel.Rd
57ed5334ab191666fed784069dae628c *man/NaiveBayesModel.Rd
49f7de15b8ba582e5b745b9827c25423 *man/PLSModel.Rd
bfb2a70dd2dc47a8d93b6c9ff5bf0469 *man/POLRModel.Rd
3fab4b6623208b19597cd30ddaa190f5 *man/QDAModel.Rd
8b3d7401cd468f07898631a052836002 *man/RPartModel.Rd
84abbf1c80ab5595686c020ae4d7b01b *man/RandomForestModel.Rd
09f7a5e43e0e305d4102d87eee4fff02 *man/RangerModel.Rd
d77ddec1e3622413d6e3f3fdddc2d4c9 *man/SVMModel.Rd
b0807cc1a827f0430ef70aff00a4edf0 *man/StackedModel.Rd
7bf0833b58ddac1811a1e739d8c65457 *man/SuperModel.Rd
32bb8ded27fe0971a4aa136b8b89d683 *man/SurvMatrix.Rd
ade262b47d43d3497ceaa8c7fa62227c *man/SurvRegModel.Rd
f78dd5a4cc292373e5ed8429af494041 *man/TreeModel.Rd
37417540ddd385b36f10b0b527ca0425 *man/XGBModel.Rd
3cf67557950d5638ac884bf3fc3a76d8 *man/calibration.Rd
cbd1d06a24a404dbc4452662d95e799f *man/confusion.Rd
2d520c8c15fe2cef213c9ecc5782fe65 *man/dependence.Rd
0d00b344f989c0f5a3cd7bd8f01c4d48 *man/diff-methods.Rd
24ae920e42275d0a202560a568adb8c7 *man/dot-.Rd
1f639f5ac3a0175007fe70564f6f6ae3 *man/expand.model.Rd
d791a8c91416ded37677341f91b39f3e *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
bd30c2742b014293203789913197addb *man/fit-methods.Rd
6055620129e3df4133385c35e206d63f *man/lift.Rd
a502fc402c23f30dedfeaccd8ad5f0f1 *man/metricinfo.Rd
25514dc443a400948cacb2e917fca615 *man/metrics.Rd
3bf5e3fdf08a502bb4679a8365e31001 *man/modelinfo.Rd
3583543ab4ad77c498ceb65f7d8912a8 *man/performance.Rd
5d297ae69285c8f63856c049c0c2c469 *man/performance_curve.Rd
035f14287c88958f86dd33e3e2c2d38a *man/plot-methods.Rd
fd6fc4680b8ddf0217b2e168574ca676 *man/predict.Rd
3dbd85663f13d987fdf45d8f023f658c *man/resample-methods.Rd
452d4d634d98558d0951e6168d9c407a *man/response-methods.Rd
118f3dd562c9aece643a5a7d02724827 *man/summary-methods.Rd
063f5499da282642898bed8330d28909 *man/t.test.Rd
d881760c89d47b3f42ceb87811803235 *man/tune-methods.Rd
7b9f8ae9c37a8db555495c433349247b *man/varimp.Rd
51ab8daa181916e7049370dbc89034df *tests/testthat.R
46864619caeed3a512c6355beffc36a7 *tests/testthat/Rplots.pdf
33a239c51a7ee09914147a4fdc244656 *tests/testthat/helper-models.R
72ca688ab388c40ee8456272767d5c21 *tests/testthat/helper-parallel.R
fb4744040d502a5edecfddd1f4c2658c *tests/testthat/test-ML_AdaBagModel.R
e1a32a3328576171371e4429087c391b *tests/testthat/test-ML_AdaBoostModel.R
0c34393a2217107cb3da67c5a9cfd4aa *tests/testthat/test-ML_BARTMachineModel.R
8113d7a23ace55f5b09450b539e85230 *tests/testthat/test-ML_BARTModel.R
5c858a4064fd017af92baa328d1f7916 *tests/testthat/test-ML_BlackBoostModel.R
7dd9440d0b4d6ce8247aa708edd39426 *tests/testthat/test-ML_C50Model.R
795c93ff295c7f0deecb1903a7026bb8 *tests/testthat/test-ML_CForestModel.R
92026050697b916955f037070de4b2bc *tests/testthat/test-ML_CoxModel.R
7c73e452c93ec5b83df9e410cc76e3d9 *tests/testthat/test-ML_EarthModel.R
8871480e316ef27235060a0405888bc2 *tests/testthat/test-ML_FDAModel.R
31b43c22818ff7381bbc1e3bca4e7d64 *tests/testthat/test-ML_GAMBoostModel.R
174f85a8fdc5f0464590f668ae5ec909 *tests/testthat/test-ML_GBMModel.R
88d27cf6fc53430bb4ba1080eaf2c908 *tests/testthat/test-ML_GLMBoostModel.R
045cc132e0df1b731b30202f6d6f85f5 *tests/testthat/test-ML_GLMModel.R
6243f6a9eec4acfe1ae82c9ba46e0db0 *tests/testthat/test-ML_GLMNetModel.R
64aa52c1365fdcc29bea55901a2be436 *tests/testthat/test-ML_KNNModel.R
43b0b6a7c8522d96e506a49d4fd24899 *tests/testthat/test-ML_LARSModel.R
f36fc77054e64cadd8c2a5567d04f06f *tests/testthat/test-ML_LDAModel.R
1af1dbc31d349392ab571636a00bf702 *tests/testthat/test-ML_LMModel.R
a1f6c412291b9510c00e3b7e14ede2eb *tests/testthat/test-ML_MDAModel.R
674f1924c601614ed3a2e0056542264f *tests/testthat/test-ML_NNetModel.R
90887585753bf605ad375cad7b8635e9 *tests/testthat/test-ML_NaiveBayesModel.R
0c6506f82645aeb73cb9deacca61fe2b *tests/testthat/test-ML_PLSModel.R
134a984244a2199d22d74400099d5696 *tests/testthat/test-ML_POLRModel.R
9373c8b8ee134cfb4491db07f9ad617d *tests/testthat/test-ML_QDAModel.R
a7ac195806d5fe2d7131ab9d35a6830e *tests/testthat/test-ML_RPartModel.R
2944ced3c1fd74eebac3e2cf1cb7ab88 *tests/testthat/test-ML_RandomForestModel.R
de0b7f85c87786efb6bafdbb15f5f56d *tests/testthat/test-ML_RangerModel.R
6f1d1093d85afdb1c96b6f799a683c89 *tests/testthat/test-ML_SVMModel.R
5e916fd51a85606086eda1b329252831 *tests/testthat/test-ML_StackedModel.R
2c7ba98f2ca932307a2c803edec9f9cb *tests/testthat/test-ML_SuperModel.R
fc2e01bc0f1c8875114f610ee38f296b *tests/testthat/test-ML_SurvRegModel.R
442d215e79941fc7ad3ca23a40d7c084 *tests/testthat/test-ML_TreeModel.R
7a3772d35aca86570b7499eccb0dbaa7 *tests/testthat/test-ML_XGBModel.R
71e681c622f1565b089eff66126f4d4d *tests/testthat/test-model-comparisons.R
9d826eb18de5b5ecec14a2122799d5ab *tests/testthat/test-tune_grid.R
9f55a009cd205dbf075552a7b2591f73 *vignettes/Introduction.Rmd
e552925243e565912f2ed6ec30f9045a *vignettes/MLModels.Rmd
57fa9309e5f6203a4bc4a939a3ed4f61 *vignettes/bibliography.bib
bdeb0f021c674beee661421b65cabc75 *vignettes/setup.R
