| active2All | Active to all |
| dataCensusFull | Full census data set |
| evalKerasGeneric | evalKerasGeneric model building and compile |
| evalKerasMnist | evalKerasMnist |
| evalKerasMnist_0 | evalKerasMnist_0 |
| evalKerasTransferLearning | evalKerasTransferLearning |
| evalParamCensus | evaluate hyperparameter config on census data |
| funBBOBCall | funBBOBCall |
| funKerasGeneric | funKerasGeneric |
| funKerasMnist | funKerasMnist |
| funKerasMnist_0 | funKerasMnist_0 |
| funKerasTransferLearning | funKerasTransferLearning |
| genCatsDogsData | generate Cats Dogs Data |
| genericDataPrep | Create an input pipeline using tfdatasets |
| getDataCensus | Get Census KDD data set (+variation) |
| getGenericTrainValTestData | getGenericTrainValTestData |
| getIndices | Get indices (positions) of variable names |
| getKerasConf | Get keras configuration parameter list |
| getMlConfig | get ml config for keras on census |
| getMlrResample | Generate a fixed holdout instance for resampling |
| getMlrTask | Generate an mlr task from Census KDD data set (+variation) |
| getMnistData | getMnistData |
| getModelConf | Get model configuration |
| getObjf | Get objective function for mlr |
| getPredf | Get predictions from mlr |
| getSimpleKerasModel | getSimpleKerasModel |
| getVarNames | Get variable names or subsets of variable names |
| ggparcoordPrepare | Build data frame for ggparcoord (parallel plot) |
| ggplotProgress | simple progress plot |
| int2fact | Helper function: transform integer to factor |
| kerasBuildCompile | evalKerasGeneric model building and compile |
| kerasCompileResult | Generate result from keras run |
| kerasEvalPrediction | Evaluate keras prediction |
| kerasFit | kerasFit fit |
| kerasReturnDummy | Return dummy values |
| makeLearnerFromHyperparameters | Make mlr learner from conf and hyperparameter vector |
| mapX2FLAGS | Map x parameters to a list of named values |
| MSE | mean squared errors |
| optimizer_adadelta | Adadelta optimizer. |
| optimizer_adagrad | Adagrad optimizer |
| optimizer_adam | Adam optimizer |
| optimizer_adamax | Adamax optimizer |
| optimizer_nadam | Nesterov Adam optimizer |
| optimizer_rmsprop | RMSProp optimizer |
| optimizer_sgd | Stochastic gradient descent (SGD) optimizer |
| plotParallel | Parallel coordinate plot of a data set |
| plotSensitivity | Sensitivity ggplot of a model |
| plot_function_surface | Surface plot |
| plot_parallel | Parallel coordinate plot of a data set |
| plot_sensitivity | Sensitivity plot of a model |
| plot_surface | Surface plot of a model |
| predDlCensus | Predict deep learning models on Census data |
| predMlCensus | Predict machine learning models on Census data |
| prepareComparisonPlot | prepare data frame for comparisons (boxplots, violin plots) |
| prepareProgressPlot | prepare data frame for progress plot |
| prepare_data_plot | Prepare data for plots |
| prepare_spot_result_plot | Prepare data (results from a tuning run) for plots |
| printf | formatted output |
| printFLAGS | Print parameter values from FLAG list |
| resDl100 | Results from the spot() run dl100 |
| RMSE | root mean squared errors |
| scorePredictions | Score results from pred |
| selectKerasActivation | Select keras activation function |
| selectKerasOptimizer | Select keras optimizer |
| selectTarget | Select target variable in a data frame |
| sequentialBifurcation | Sequential Bifurcation |
| spotKeras | spotKEras |
| spotPlot | spot plot (generic function) |
| SSE | sum of squared errors |
| startCensusRun | Start hyperparameter optimization runs with spot based on US census data |
| startMnistRun | Start hyperparameter optimization runs with spot based on MNIST data |
| startXGBCensusRun | Start hyperparameter optimization runs with spot based on US census data |
| subgroups | Return effects for each subgroup |
| translate_levels | Helper function: translate levels |
| trans_10pow | 10 power x transformation |
| trans_10pow_round | 10 power x transformation with round |
| trans_1minus10pow | 10 power x transformation |
| trans_2pow | 2 power x transformation |
| trans_2pow_round | 2 power x transformation with round |
| trans_id | Identity transformation |
| trans_mult2_round | Mult 2 transformation |
| trans_odd_round | odd transformation |