CRAN v2.0.3
Changes in 2.0.3:
-
The
PrintTree
function has been added to aid in viewing the
cut-points, features, and other statistics in a particular tree of a
forest. -
Urerf now supports using the Bayesian information criterion (BIC) from
themclust
package for determining the best split. -
Feature importance calculations now correctly handle features whose
weight vectors parametrize the same line. Also, when the projection
weights are continuous we tabulate how many times a unique combination
of features was used, ignoring the weights. -
An issue where the
split.cpp
function split the dataA
into{A, {}}
has been resolved by computing equivalence within some factor of
machine precision instead of exactly.