predict.fuzzy_forest

object

A matrix or data.frame containing new_data.
Pay close attention to ensure feature names
match between training set and test set
data.frame.

new_data

Predict method for fuzzy_forest object.
Obtains predictions from fuzzy forest algorithm.

Fuzzy forests, a new algorithm based on random forests,
    is designed to reduce the bias seen in random forest feature selection
    caused by the presence of correlated features.  Fuzzy forests uses
    recursive feature elimination random forests to select
    features from separate blocks of correlated features where the
    correlation within each block of features is high
    and the correlation between blocks of features is low.
    One final random forest is fit using the surviving features.
    This package fits random forests using the 'randomForest' package and
    allows for easy use of 'WGCNA' to split features into distinct blocks.

predict.fuzzy_forest: Predict method for fuzzy_forest object. Obtains predictions from fuzzy forest algorithm.

Description

Usage

Arguments

Value