| parallelML-package | Parallel-Voting version of machine learning algorithms |
| caller | Convert arguments of a function to a list |
| convertAverage | Take averages over a list of data.frames |
| getArgs | Get all arguments of a machine learning call |
| getCall | Convert string to function call |
| get_args | Get all arguments of a call |
| iris | Edgar Anderson's Iris Data |
| parallelML | Parallel-Voting version of machine learning algorithms |
| parallelML.default | Parallel-Voting version of machine learning algorithms |
| predictML | Parallel-Voting prediction of multiple machine learning models |
| print.parallelML | Parallel-Voting version of machine learning algorithms |
| registerCores | registerCores |
| summary.parallelML | Parallel-Voting version of machine learning algorithms |
| testData | MagicGamma test data |
| trainData | MagicGamma training data |
| trainSample | Sample data in parallel |