DataLab is a compact statistics package aiming at exploratory data analysis. Please visit the DataLab Web site for more information....

Home Programming DataLab DLabPascal Multivariate Methods Random Decision Forest TRndForest
See also: Random Forest Regression, Random Forest Classifier 

TRndForest

The class TRndForest declares a random forest based classification and regression engine.

Properties

 

Methods

 

How To: Please follow these steps to train a classifier:
  1. create an instance of the class TRndForest
  2. set the basic parameters NTrees and RPar
  3. resize the training data matrix and fill it with the appropriate data
  4. train the random forest model by calling RF.TrainRF
  5. store the trained classifier using SaveOnDisk
Hint: See the section on TrainRF for a code example.