LDA (Latent Dirichlet Allocation) Operator & Gradient Boost

CraigBostonUSA

I am trying to perform topic modelling , it would be great to have a native LDA (latent dirichlet allocation) operator and also a Gradient Boost Operator.

bhupendra_patil

rapidminer 7.2 added Gradient Boosted Trees as a new learner

 

Quoted from the operator help 

 

A gradient boosted model is an ensemble of either regression or classification tree models. Both are forward-learning ensemble methods that obtain predictive results through gradually improved estimations. Boosting is a flexible nonlinear regression procedure that helps improving the accuracy of trees. By sequentially applying weak classification algorithms to the incrementally changed data, a series of decision trees are created that produce an ensemble of weak prediction models. While boosting trees increases their accuracy, it also decreases speed and human interpretability. The gradient boosting method generalizes tree boosting to minimize these issues

djeastm

There is an LDA operator in the KobRA-Projekt extension at http://kobra.tu-dortmund.de/mediawiki/index.php?title=Software. The documentation is in German.

IrisS

There's a corpus linguistics plugin 1.1.1 in Marketplace that should offer LDA functionality.

sgenzer

LDA is an extension but not updated (see here); Gradient Boosted Trees released in RM 7.2.

tftemme

LDA is in the Operator Toolbox Extension (Operators: Extract Topics from Documents (LDA); Extract Topics from Data (LDA). Ticket can be closed.