RedRCaret

Submitted by covingto on Mon, 05/02/2011 - 19:17

Red-R Implementation of the Caret package. This package performs multiple different prediction algorithms on data and performs training and predictions on those models.

Download
Red-R Version: 
Red-R-1.85b
Red-R Package Version: 
0.1
Package Download: 
application/zip iconRedRCaret-0.1.zip
WidgetDescription
Apply Data PartitionUsed in conjunction with the Partition widget, this widget subsets caret data based on an established parition into two groups; in the partition and not in the partition.
Apply Data PreProcessingApply a pre-processing data model to a part of a data parition, this will make the data look like the processed data to test in a model.
Caret Data ModelMake a data model that can be used in other Caret widgets.
Caret Predictions and ProbabilitiesGenerates two data tables one for predictions and one for probabilities of the supplied samples being of a class.
Partition/Resample/Fold (Caret)Creates a data partition, a resample of the data or a fold depending on the selections in the function box. Partition, partitions the data into groups, resample generates a bootstrap resampling of the data and folds generates an evenly split dataset across the number of folds.
predict
PreProcess Data
Train Model