| 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 |