NEWS.md

In rerf: Randomer Forest

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 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.

Changes in 2.0.2:

• 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.

rerf documentation built on May 2, 2019, 8:16 a.m.