API for superml
Build Machine Learning Models Like Using Python's Scikit-Learn Library in R

Global functions
CountVectorizer Man page
Counter Man page Source code
GridSearchCV Man page
KMeansTrainer Man page
KNNTrainer Man page
LMTrainer Man page
LabelEncoder Man page
NBTrainer Man page
RFTrainer Man page
RandomSearchCV Man page
TfIdfVectorizer Man page
XGBTrainer Man page
avg_doc_len Source code
bm25 Man page
bm_25 Man page Source code
check_package Man page Source code
cla_train Man page
dot Man page Source code
dotmat Man page Source code
idf Source code
kFoldMean Man page Source code
normalise1d Man page Source code
normalise2d Man page Source code
reg_train Man page
smoothMean Man page Source code
sort_index Man page Source code
sort_vector_with_names Source code
sorted Source code
superCountMatrix Source code
superNgrams Source code
superSplit Source code
superTokenizer Source code
testdata Man page Source code
superml documentation built on April 28, 2020, 9:05 a.m.