Man pages for saraswatmks/superml
Build Machine Learning Models Like Using Python's Scikit-Learn Library in R
| bm25 | Best Matching(BM25) - Deprecated |
| bm_25 | BM25 Matching |
| check_package | Internal function |
| cla_train | cla_train |
| Counter | Calculate count of values in a list or vector |
| CountVectorizer | Count Vectorizer |
| createFolds | Internal function |
| 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 |
| testdata | Internal function |
| TfIdfVectorizer | TfIDF(Term Frequency Inverse Document Frequency) Vectorizer |
| XGBTrainer | Extreme Gradient Boosting Trainer |
