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 |
| SortOccurence | Source code |
| 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 |
| createFolds | Man page Source code |
| 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 |
