6202159b5daf314cd2482cd293a3538e *DESCRIPTION
d972c34302d7a5cd2a73cc7e0ff4993a *LICENSE
b3b92a65201d5bb6d8df84ea7930d5b5 *NAMESPACE
20bafdbae19d0654f6b49408b7841413 *NEWS.md
90f0c5a3336a7ed0e1990c0674b210a3 *R/dials.R
dbffb49092ff5dc054eb49a4b9c055a5 *R/explain.R
bb4c701d03ca453e04153ed06827639f *R/hardhat.R
781a543d82145404a6ddc7caa72eaf56 *R/model.R
426e3f492bb54e7300831d34422995c5 *R/package.R
d5d87ce81efd0bbd66f140a1025013a3 *R/parsnip.R
58b0704d8966ed005508f9d6bf498daa *R/plot.R
b031014710081245b5c8f36b45524ee9 *R/pretraining.R
0bc0b15b57f5281d727467b2f27cd856 *R/sparsemax.R
ce4138d2f4328786cf83a993061d2341 *R/tab-network.R
dd1e1a207bdd832497f2a4bde03fd4a1 *R/utils-pipe.R
b7108d05ee4950d1fb25a187d12af459 *README.md
bd3c5a7cd811b88bf1b1170bcb297234 *build/vignette.rds
f3ee31eec336da836c011dc26737b4d3 *inst/doc/interpretation.R
b6e93d446b32259b079f6c6e717d19a6 *inst/doc/interpretation.Rmd
11c0f87544d5140611c58ad1e2f73ec9 *inst/doc/interpretation.html
0598f8a527f9a91efe70a619399e379e *inst/doc/tidymodels-interface.R
8ca75b60a30d392b5b72b8cb859d3944 *inst/doc/tidymodels-interface.Rmd
6b1f185253c2680983192f997cb19ecd *inst/doc/tidymodels-interface.html
663e1e3dca8fa3da1e4a149ea9d57d56 *inst/doc/unsupervised_training.R
118831ce664f7f36c11ed6d4a80c516c *inst/doc/unsupervised_training.Rmd
7f94443d85600b510ee8b9e896d01fa0 *inst/doc/unsupervised_training.html
5f88aa64f832d044783932259df3bb3d *man/autoplot.tabnet_explain.Rd
aace0edcc8ead5e2b51a4f501f232f25 *man/autoplot.tabnet_fit.Rd
b818d631136f798a4097ad0c3a969484 *man/pipe.Rd
bbecbd221662457b5b0378e4021184a0 *man/resolve_data.Rd
c9ca59f5e72a2faeac21d4483811fd84 *man/tabnet.Rd
606a339666b60b1a44452e66c48a7362 *man/tabnet_config.Rd
e66cbb7232f0444d522ee25040f6c4e5 *man/tabnet_explain.Rd
c4556fab081e71ce3014696bb574ddee *man/tabnet_fit.Rd
90ea130a9ef5acb6ae2d5f18587b3d6f *man/tabnet_params.Rd
987220dacd6dba09865e66fc16d9731c *man/tabnet_pretrain.Rd
e0810bc31d8099ca77ac155aaafbc604 *tests/testthat.R
7909c162fc81220ecc0337adfd5a0a9d *tests/testthat/Rplots.pdf
123f1e42c625f68de4c6c07d190aaacb *tests/testthat/_snaps/hardhat.md
50f662723c0e57dd692f51d720fcaec6 *tests/testthat/_snaps/unsupervised.md
ef241358f1ead1cb4907ec21707b88b6 *tests/testthat/test-explain.R
3d4f87b7f0cadf4398ce647cefea3d75 *tests/testthat/test-hardhat-scenarios.R
92c88f301fbb659cfe8218181a777661 *tests/testthat/test-hardhat.R
ae648c6741e4209151d72036542eb125 *tests/testthat/test-parsnip.R
634c153c3111441e6a77e1105971502a *tests/testthat/test-plots.R
359f00e2d7ccc4aa6d500ac5f80df5af *tests/testthat/test-unsupervised.R
b6e93d446b32259b079f6c6e717d19a6 *vignettes/interpretation.Rmd
8ace698aa50f19677887c688932cd6fe *vignettes/pretrained_model.png
18aac0d2a09c3e6c6e8358ba699988d3 *vignettes/pretraining_loss.png
8ca75b60a30d392b5b72b8cb859d3944 *vignettes/tidymodels-interface.Rmd
118831ce664f7f36c11ed6d4a80c516c *vignettes/unsupervised_training.Rmd
a762540773febc6f1b0120f773bb8115 *vignettes/vanillia_model.png
