Man pages for UBESP-DCTV/costumer
COmprehensive Searches ThroUgh Machine learning for systEmatic Reviews

atom_dtmCreate a dtm from a corpus (tf weights)
check_tokenedCheck Tokenization for list
corpora2listCorpora into list and back to corpora
costumercostumer: COmprehensive Searches ThroUgh Machine learning for...
create_trainCreate training data structure
data2corpusImport to corpus
dns2stmDense matrix to Simple Triplet-Matrix
dtm_lfilterLeft filter for DTMs
glmnet_cvAbleglmnet_cvAble
hutch_mapTransform on HUTCH corpora
hutch_samplingBalancing of DTM
idfInverse document-frequencies Calculator
knn_cvAbleknn_cvAble
liu_4h28Liu's metanalysis positive trials and random negative ones
liu_corpusLiu's Corpus
liu_dtmLiu's Document-Term Matrix
LogitBoost_cvAbleLogitBoost_cvAble
loweringLowering
nb_cvAblenb_cvAble
ngramn-Gram creators
nonwordEliminate non-words
pipePipe operator
reweights_testWeights for Test dtm
rf_cvAblerf_cvAble
ROS3565_newROS3565_new
ROS5050_newROS5050_new
RUS3565_newRUS3565_new
RUS5050_newRUS5050_new
statisticsCalculation of different performance measures and statistical...
stemStem words
stm2dnsSimple Triplet-Matrix to Dense matrix
svmLinear2_cvAblesvmLinear2_cvAble
tfidf4dtmTf-IDf for DTM
tf_normalizatorTerm Frequencies Normalizator for Document-Term Matrices
tok_tokenTokenizator of token
variable_selectVariable selector (best tfidf rank)
v_assign_metaAssign a vector of metadata to a corpus
whiteStrip White Spaces
UBESP-DCTV/costumer documentation built on Feb. 1, 2023, 4:52 a.m.