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

## Documentation for package ‘superml’ version 0.5.7

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

bm_25 | BM25 Matching
cla_train | cla_train
Counter | Calculate count of values in a list or vector
CountVectorizer | Count Vectorizer
dot | Dot product similarity in vectors
dotmat | Dot product similarity between a vector and matrix
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
normalise1d | normalise1d
normalise2d | normalise2d
RandomSearchCV | Random Search CV
reg_train | reg_train
RFTrainer | Random Forest Trainer
smoothMean | smoothMean Calculator
sort_index | sort_index
TfIdfVectorizer | TfIDF(Term Frequency Inverse Document Frequency) Vectorizer
XGBTrainer | Extreme Gradient Boosting Trainer