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
the mclust
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 data A
into {A, {}}
has been resolved by computing equivalence within some factor of
machine precision instead of exactly.
The option rho
in the RerF function has been re-named to sparsity
to match with the algorithm explanation.
The default parameters sent to the RandMat* functions now properly account for categorical columns.
The defaults have changed for the following parameters:
min.parent = 1
max.depth = 0
stratify = TRUE
Predictions are made based on the average of posteriors rather than average of the predictions.
The included RandMat* functions have been re-structured for ease of use with their own examples and documentation. This should make it easier to create and include a user defined function to use as an input option.
We are now using testthat
for all of our function tests moving
forward.
Housekeeping: Updated the README and changed maintainers.
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