Misc Extensions for the 'SPOT' Package

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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