Man pages for TDMR
Tuned Data Mining in R
| bfgsTuner | Perform BFGS tuning. |
| cat1 | Output objects to 'cat' if 'opts$VERBOSE>=1'. |
| cat2 | Output objects to 'cat' if 'opts$VERBOSE>=2'. |
| cmaesTuner | Perform CMA-ES tuning (R version). |
| cma_jTuner | Perform CMA-ES tuning (Java version). |
| defaultOpts | Default settings for the data mining part of TDMR (list... |
| defaultSC | Default settings for the spotConfig part of TDMR. |
| dsetTest | Return test data |
| dsetTest.TDMdata | Return test data of 'TDMdata' object |
| dsetTrnVa | Return train-validataion data |
| dsetTrnVa.TDMdata | Return train-validation data of 'TDMdata' object |
| lhdTuner | Perform LHD tuning. |
| makeTdmRandomSeed | Factory method to make a function generating pseudo-random... |
| Opts | Return the list 'opts'. |
| predict.TDMenvir | Make a prediction using the last model. |
| print1 | Print objects using 'print' if 'opts$VERBOSE>=1'. |
| print2 | Print objects using 'print' if 'opts$VERBOSE>=2'. |
| print.TDMclassifier | Print an overview for a 'TDMclassifier' object. |
| print.TDMdata | Print an overview for a 'TDMdata' object. |
| print.TDMregressor | Print an overview for a 'TDMregressor' object. |
| setParams | Merge the parameters from a partial list and the default list |
| spotTuner | Perform a SPOT tuning. |
| tdmBigLoop | Tuning and unbiased evaluation in a big loop. |
| tdmBindResponse | Bind a column to a data frame. |
| tdmClassify | Core classification function of TDMR. |
| tdmClassifyLoop | Core classification double loop returning a 'TDMclassifier'... |
| tdmClassifySummary | Print summary output for 'result' from 'tdmClassifiyLoop' and... |
| tdmDefaultsFill | Default values for list 'tdm'. |
| tdmDispatchTuner | Helper function for 'tdmBigLoop'. |
| tdmEnvTAddBstRes | Add BST and RES data frames to an existing 'envT'... |
| tdmEnvTAddGetters | Add getter functions getBst and getRes to environment envT |
| tdmEnvTGetOpts | Return list opts from the 'k'-th element of 'envT$sCList' |
| tdmEnvTLoad | Load an 'envT'-type environment from file 'fileRData'. |
| tdmEnvTMakeNew | Construct a new environment envT of class 'TDMenvir'. |
| tdmEnvTReport | Make a report plot based on 'envT' |
| tdmEnvTReportSens | Function to generate a report with sensitivity plot. |
| tdmEnvTSetOpts | Set list opts for the 'k'-th element of 'envT$sCList' |
| tdmEnvTUpdate | Update 'envT$tdm' |
| tdmGraAndLogFinalize | Finalize graphics and log file |
| tdmGraAndLogInitialize | Initialize graphics and log file. |
| tdmGraphicCloseDev | Close all open graphic devices. |
| tdmGraphicCloseWin | Close active file ("png"). |
| tdmGraphicInit | Initialize graphic device. |
| tdmGraphicNewWin | Initialize a new window. |
| tdmGraphicToTop | Bring the acitve window to the top |
| tdmMapDesApply | Apply the mapping from 'des' to 'opts'. |
| tdmMapDesLoad | Load the mapping files. |
| tdmModConfmat | Calculate confusion matrix, gain and RGain measure. |
| tdmModCreateCVindex | Create and return a training-validation-set index vector. |
| tdmModSortedRFimport | Sort the input variables decreasingly by their RF-importance. |
| tdmModVote2Target | Analyze how the vote fraction corresponds to reliability of... |
| tdmOptsDefaultsFill | Fill the current 'opts'. |
| tdmOptsDefaultsSet | Default values for list 'opts'. |
| tdmParaBootstrap | Parametric bootstrap: add 'noisy copies' to a data frame... |
| tdmPreAddMonomials | Add monomials of degree 2 to a data frame. |
| tdmPreFindConstVar | Find constant columns. |
| tdmPreGroupLevels | Group the levels of factor variable in 'dset[,colname]'. |
| tdmPreLevel2Target | Relate levels of a column with a target (column). |
| tdmPreNAroughfix | Replace <NA> values with suitable non <NA> values |
| tdmPrePCA.apply | Apply PCA (Principal Component Analysis) to new data. |
| tdmPrePCA.train | PCA (Principal Component Analysis) for numeric columns in a... |
| tdmPreSFA.apply | Apply SFA (Slow Feature Analysis) to new data. |
| tdmPreSFA.train | SFA (Slow Feature Analysis) for numeric columns in a data... |
| tdmRandomSeed | Generates pseudo-random random number seeds. |
| tdmReadAndSplit | Read and split the task data. |
| tdmReadDataset | Read data accoroding to 'opts' settings. |
| tdmReadTaskData | Read task data. |
| tdmRegress | Core regression function of TDMR. |
| tdmRegressLoop | Core regression double loop returning a 'TDMregressor'... |
| tdmRegressSummary | Print summary output for 'result' from 'tdmRegressLoop' and... |
| tdmReportSensY | Sensitivity Report Helper Function |
| tdmROCR | Interactive plot of ROC charts |
| tdmROCRbase | Single plot of ROC, lift or other chart for a 'TDMclassifier'... |
| tdmROCR.TDMclassifier | Interactive plot of ROC, lift or other charts for a... |
| TDMR-package | Tuned Data Mining in R |
| tdmStartSpot2 | Function called by SPOT 2.0 tuner |
| tdmTuneIt | Tuning and unbiased evaluation (single tuning). |
| unbiasedRun | Perform unbiased runs with best-solution parameters. |
| zzz | just to make example check happy |
