MSE                     mean squared errors
RMSE                    root mean squared errors
SSE                     sum of squared errors
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
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
printFLAGS              Print parameter values from FLAG list
printf                  formatted output
resDl100                Results from the spot() run dl100
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)
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
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
translate_levels        Helper function: translate levels
