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) |
getExplan | Get experimental design |
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 |
plot_function_surface | Surface plot |
plotnice.spotTreeModel | Plot a nice rpart tree model |
plot_parallel | Parallel coordinate plot of a data set |
plotParallel | Parallel coordinate plot of a data set |
plot_sensitivity | Sensitivity plot of a model |
plotSensitivity | Sensitivity ggplot 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) |
prepare_data_plot | Prepare data for plots |
prepareProgressPlot | prepare data frame for progress plot |
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... |
startMnistRun | Start hyperparameter optimization runs with spot based on... |
startXGBCensusRun | Start hyperparameter optimization runs with spot based on US... |
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 |
translate_levels | Helper function: translate levels |
trans_mult2_round | Mult 2 transformation |
trans_odd_round | odd transformation |
valid_inputs | Check the validity of input parameters. |
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