e01a96f72e60a03b5e37ff2a8beef1cd *DESCRIPTION
1ebbd3e34237af26da5dc08a4e440464 *LICENSE
635902b6c7a95d81c1581339d7dc7597 *NAMESPACE
553db9391aefd371fc78a86341229134 *NEWS.md
70f28a290f7a87d2a014dcc6c020dcc4 *R/CountVectorizer.R
9d93de7099bae91cf123fc63da155075 *R/GridSearch.R
cb74ad841a53c13491a595ab361bf0cf *R/KMeansTrainer.R
9b80dea9c522f1420b129723cc0fad47 *R/KNNTrainer.R
1e13652aacf435e2c0f981bc43c8325f *R/LMTrainer.R
e18ba5b6d1028b0b27a7696e1ac36a4f *R/LabelEncoder.R
b4d23dc46d46a0507338eeb1f370209c *R/NBTrainer.R
57691e3bf6f055b18716bf4fb9b8024e *R/RandomForest.R
8a8bf397b2432757e78ae62e396b0ef0 *R/RandomSearch.R
3526258e03ac304b13e79d7d91c9c67f *R/RcppExports.R
cc6e92491272867a9573c5eedc4f9b19 *R/TfidfVectorizer.R
aa6feddf53d0b73701e07e0fccda0935 *R/XGBoost.R
e9b92126c60c5928610c83554471c2ce *R/bm25.R
da644a1c738ea3b5fff207e18e272f33 *R/data.R
0db0e3abc92db8fcdd29691107680452 *R/super_utils.R
d873859902c323e561a4446cc7451828 *R/target_encoders.R
4ddbbe9547bb8aa063056b374142479f *README.md
a73a62a907a51bc8ef6aed5927c934d4 *build/vignette.rds
c2fc651f460a110efae1c4c25277110e *data/cla_train.rda
589a48c9265b93f655b64589b4bafa3f *data/reg_train.rda
fc6202a4f95bec2076483ac69918718e *inst/doc/Guide-to-CountVectorizer.R
55b1a3bd527278f434f3d92a7fec1b5d *inst/doc/Guide-to-CountVectorizer.Rmd
a962bea773b0e5ab58b92e8f1c14e3db *inst/doc/Guide-to-CountVectorizer.html
67580b908114dd724deda3da21880fac *inst/doc/Guide-to-TfidfVectorizer.R
83928267cda9fbfb47288f02a2548f4c *inst/doc/Guide-to-TfidfVectorizer.Rmd
df4a25c4ca8142ca680689b8db08c433 *inst/doc/Guide-to-TfidfVectorizer.html
beb176dbd4911c1dff9ce1db90837f03 *inst/doc/introduction.R
d0cbf0a8ed0cb96828cca7777ec0090f *inst/doc/introduction.Rmd
4ee758b274d2195bc684ec57ddf90e2e *inst/doc/introduction.html
e181651a30ec45694b7fafc787f357dc *inst/stopwords/english.txt
6fec1ebe5fde984a007d6ed027cf90dd *man/CountVectorizer.Rd
6e8c4bdab56e319c0a107023e94a31e2 *man/Counter.Rd
7a5c0e39974d38032685bc035c6f2be6 *man/GridSearchCV.Rd
9191ddbb81e2a97a7f7b26cfe2103bd7 *man/KMeansTrainer.Rd
b8105adc2ee82ff9d2654f2cdf0700c3 *man/KNNTrainer.Rd
c53e27e93ff330bf35371aaea6414dd1 *man/LMTrainer.Rd
22238ae4e8cc085162e472f9a797971c *man/LabelEncoder.Rd
0b1d2f0080298890dc11a51bb66091b6 *man/NBTrainer.Rd
346ea6649abd65804a290c4f6c576dae *man/RFTrainer.Rd
683d10d99731ce3c3824e79e524a753b *man/RandomSearchCV.Rd
a65c7fc8073ae1ecd0cdf90a12cb97fc *man/TfIdfVectorizer.Rd
319d31e19ceb3bb1674b61a98905d486 *man/XGBTrainer.Rd
16dd997c82709089f673871b46370cf6 *man/bm25.Rd
334121c49cdbc6d9e2164deaee75ed49 *man/bm_25.Rd
e2461b1910d8260a463396bb32d8613d *man/check_package.Rd
720d0ef377ebec108090c687860b4c7b *man/cla_train.Rd
75da6ae63840c2a4430e5de4cf3456f9 *man/dot.Rd
0f103cc403ae303370996f5204b1ccf1 *man/dotmat.Rd
ea6e2e05f76bc7748a4b23a23edad499 *man/kFoldMean.Rd
6681ef0d0d2bee330e994bb7f38ec54f *man/normalise1d.Rd
db7c1998a971d93bf579b2f509f83052 *man/normalise2d.Rd
30b23f17da0f3a98129f3ce8c19320e9 *man/reg_train.Rd
0bfe020420c853c5aae4e3b42a2d4a42 *man/smoothMean.Rd
e036b4826c3cd4125a673018fb3d5b09 *man/sort_index.Rd
d18e715a6418595be515e74eb7de9624 *man/testdata.Rd
b53f7d3814d4ed733a8a4ca16f6f5c13 *src/Makevars
b53f7d3814d4ed733a8a4ca16f6f5c13 *src/Makevars.win
769a359099f45116d93258e808b1d763 *src/RcppExports.cpp
0b836799bdd9c97ccfa627e4295acc6e *src/utils.cpp
d41d8cd98f00b204e9800998ecf8427e *tests/test_miscs.R
d057b6625f3a2c0900653972180ac348 *tests/testthat.R
5e687af56ddd7b0ce13e4759eef02407 *tests/testthat/test-text_functions.R
55b1a3bd527278f434f3d92a7fec1b5d *vignettes/Guide-to-CountVectorizer.Rmd
83928267cda9fbfb47288f02a2548f4c *vignettes/Guide-to-TfidfVectorizer.Rmd
d0cbf0a8ed0cb96828cca7777ec0090f *vignettes/introduction.Rmd
