Man pages for ssi-ashraf/superml
Build Machine Learning Models Like Using Python's Scikit-Learn Library in R

bm25Best Matching(BM25)
check_packageInternal function
cla_traincla_train
CounterCalculate count of values in a list or vector
CountVectorizerCount Vectorizer
GridSearchCVGrid Search CV
kFoldMeankFoldMean Calculator
KMeansTrainerK-Means Trainer
KNNTrainerK Nearest Neighbours Trainer
LabelEncoderLabel Encoder
LMTrainerLinear Models Trainer
NBTrainerNaive Bayes Trainer
RandomSearchCVRandom Search CV
reg_trainreg_train
RFTrainerRandom Forest Trainer
smoothMeansmoothMean Calculator
SVMTrainerSupport Vector Machines Trainer
testdataInternal function
TfIdfVectorizerTfIDF(Term Frequency Inverse Document Frequency) Vectorizer
XGBTrainerExtreme Gradient Boosting Trainer
ssi-ashraf/superml documentation built on Nov. 5, 2019, 9:18 a.m.