Man pages for gbonte/gbcode
Code from the handbook "Statistical foundations of machine learning"
| AUC | AUC |
| bagging.pred | Wrapper on lazy learning algoritmhs for regression and... |
| cmim | cmim |
| constloo | Embedding of multivariate time series |
| cor2I2 | correlation to mutual information |
| dist2 | Returns matrix of distances between two matrices with same... |
| forwardSel | forwardSel |
| genar | NAR univariate time series generation |
| gsloo | gsloo |
| hyperg | hypergeometric pvalue |
| impute | impute |
| is.element.list | is.element.list |
| KNN.acf | KNN.acf |
| KNN.acf.lin | KNN.acf.lin |
| KNN.multioutput | KNN.multioutput |
| KNN.pls | KNN.pls |
| lazy.pred | Wrapper on lazy learning algoritmhs for regression and... |
| linearFsel | linearFsel |
| lin.pls | lin.pls |
| MakeEmbedded | Embedding of multivariate time series |
| MASE | Mean Absolute scaled error |
| mimr-open-paren-minimum-interaction-maximum-relevance-close-paren | mimr |
| MmultiplestepAhead | MmultiplestepAhead |
| mrmr | mrmr |
| multiplestepAhead | multiplestepAhead |
| pca | PCA compression |
| pca.svd | PCA compression by SVD decomposition |
| pcor1 | partial correlation |
| pred | Wrapper on learning algoritmhs for regression and... |
| preproc2 | preproc2 |
| rankregr | rankregr |
| rankrho | rankrho |
| regrDataset | Generator of nonlinear regression dataset |
| regrlin | Linear regression with PRESS leave one out estimate |
| remNA | Remove NA from a time series by interpolation |
| ridgeFsel | ridgeFsel |
| rls | Recursive least-squares step with forgetting factor |
| SMAPE | Symmetric mean absolute percentage error |
| StatPredictors1 | Statistical forecasting predictors |
| timefit | timefit |
| var2H | variance to entropy |
| which.element.list | which.element.list |
| which.subelement.list | which.subelement.list |
