tGradientBoostedTreeModel

Analyzes feature vectors usually prepared and provided by tModelEncoder to generate a classifier model that is used by tPredict to classify given elements.

tGradientBoostedTreeModel analyzes incoming datasets using the Decision Tree algorithm.

It generates a binary classification model out of this analysis and writes this model either in memory or in a given file system.