# Misc Extensions for the 'SPOT' Package

## Documentation for package ‘SPOTMisc’ version 1.19.52

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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