active2All |
Active to all |
dataCensus |
Census data |
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 |
resKerasMnist02 |
Results from a very simple SPOT run, version 2, with replicates |
resKerasMnist02Default |
Results from a very simple SPOT run, version 2, with replicates |
resKerasMnist03 |
Results from a very simple SPOT run, version 3, with replicates |
resKerasMnist07 |
Results from a very simple SPOT run, version 7, with replicates |
resKerasTransferLearning04 |
Results from a SPOT run, version 4, with replicates |
resKerasTransferLearning05 |
Results from a SPOT run, version 5, with replicates: negValidationAccuracy |
resKerasTransferLearning06 |
Results from a SPOT run, version 06, default |
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 |