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
Widget Description
Apply Data Partition Used 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 PreProcessing Apply 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 Model Make a data model that can be used in other Caret widgets.
Caret Predictions and Probabilities Generates 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