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


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Documentation for package ‘superml’ version 0.2.0

Help Pages

bm25 Best Matching(BM25)
cla_train cla_train
Counter Calculate count of values in a list or vector
CountVectorizer Count Vectorizer
GridSearchCV Grid Search CV
kFoldMean kFoldMean Calculator
KMeansTrainer K-Means Trainer
KNNTrainer K Nearest Neighbours Trainer
LabelEncoder Label Encoder
LMTrainer Linear Models Trainer
NBTrainer Naive Bayes Trainer
RandomSearchCV Random Search CV
reg_train reg_train
RFTrainer Random Forest Trainer
smoothMean smoothMean Calculator
SVMTrainer Support Vector Machines Trainer
TfIdfVectorizer TfIDF(Term Frequency Inverse Document Frequency) Vectorizer
XGBTrainer Extreme Gradient Boosting Trainer