mlpack  2.2.5
doc/tutorials/det/det.txt File Reference

Tutorial for how to perform density estimation with Density Estimation Trees (DET). More...

Functions

f f $V (t)\f$ is the volume of the node \f $t\f$ and \f$\tilde
 
see subsection cli_alt_reg_tut Alternate DET regularization The usual regularized error f $R_ alpha (t)\f$ of a node \f $t\f$ is given by
 

Variables

f is the set of leaves in the subtree rooted at f $t f For the purposes of density estimation
 
this option is not available in DET right now
 
f is the set of leaves in the subtree rooted at f $t f For the purposes of density there is a different form of regularization
 
f is the set of leaves in the subtree rooted at f $t f For the purposes of density there is a different form of we penalize the sum of the inverse of the volumes of the leaves With this very small volume nodes are discouraged unless the data actually warrants it Thus
 

Detailed Description

Tutorial for how to perform density estimation with Density Estimation Trees (DET).

Author
Parikshit Ram

Definition in file det.txt.

Function Documentation

◆ $V()

f f $V ( )

Definition at line 347 of file det.txt.

◆ alpha()

see subsection cli_alt_reg_tut Alternate DET regularization The usual regularized error f $R_ alpha ( )

Definition at line 340 of file det.txt.

Variable Documentation

◆ estimation

f is the set of leaves in the subtree rooted at f $t f For the purposes of density estimation

Definition at line 350 of file det.txt.

◆ now

this option is not available in DET right now

Definition at line 337 of file det.txt.

◆ regularization

f is the set of leaves in the subtree rooted at f $t f For the purposes of density there is a different form of we penalize the sum of the inverse of the volumes of the leaves With this regularization

Definition at line 350 of file det.txt.

◆ Thus

f is the set of leaves in the subtree rooted at f $t f For the purposes of density there is a different form of we penalize the sum of the inverse of the volumes of the leaves With this very small volume nodes are discouraged unless the data actually warrants it Thus

Definition at line 350 of file det.txt.