galgo-package |
Galgo perform feature selection from large scale data. |
ALL |
Acute Lymphoblastic Leukemia data (Yeoh et. al., 2002) for GALGO package |
ALL.classes |
Acute Lymphoblastic Leukemia data (Yeoh et. al., 2002) for GALGO package |
as.list |
Convert a variable of class Object to a list |
as.list.Object |
Convert a variable of class Object to a list |
Bag |
A list-like Object |
BigBang |
Represents the ensemble of the results of evolving several Galgo objects |
Chromosome |
The representation of a set of genes for genetic algorithms |
classPrediction |
Function used to predict class evaluating a fitness function in many train-test sets |
configBB.VarSel |
Creates and configure all objects needed for a "variable selection for classificacion" problem |
configBB.VarSelMisc |
Creates and configure all objects needed for a "variable selection" problem |
fitness |
Function used to evaluate a chromosome |
Galgo |
The representation of a Genetic Algorithm |
galgo |
Galgo perform feature selection from large scale data. |
galgo.dist |
Computes the distance in GALGO for KNN based methods |
Gene |
The representation of a gene in a chromosome for genetic algorithms |
geneBackwardElimination |
Searches for shorter or better models using backward elimination strategy |
generateRandomModels |
Generates Random shorter models |
knn_C_predict |
Class prediction using KNN method calling the C code |
knn_R_predict |
Class prediction using KNN method calling the R code |
loadObject |
Load saved data of class Object and use reObject as necessary |
mlhd_C_predict |
Class prediction using Maximum Likelihood Discriminant Functions method calling the C code |
mlhd_R_predict |
Class prediction using Maximum Likelihood Discriminant Functions method calling the R code |
modelSelection |
Function used to evaluate a fitness function in many train-test sets |
nearcent_C_predict |
Class prediction using the nearest centroid method calling the C code |
nearcent_R_predict |
Class prediction using the nearest centroid method calling the R code |
Niche |
The representation of a set of chromosomes for genetic algorithms |
nnet_R_predict |
Class prediction using the neural networks method calling the R code |
randomforest_R_predict |
Class prediction using RandomForest method calling the R code |
reObject |
Creates proper extended Object from a list obtained by unObject |
robustGeneBackwardElimination |
Searches for shorter or better models using backward elimination strategy |
rpart_R_predict |
Class prediction using the recursive tree partitions method calling the R code |
runifInt |
Generation of random uniform integer values |
svm_C_predict |
Class prediction using support vector machines method calling the C/R code |
svm_R_predict |
Class prediction using support vector machines method calling the R code |
unObject |
Converts variables from class Object (and derived classes) to list |
unObject.list |
Converts variables from class Object (and derived classes) to list |
unObject.Object |
Converts variables from class Object (and derived classes) to list |
World |
The representation of a set of niches with migration for genetic algorithms |