bin_weighted: Model weights for "weight_type == "bin weighted" VERSION 2

In kmaurer/binsemble:

Description

Calculate the model weights when "weight_type" == "bin weighted" # TODO this needs to be cleaned up

Usage

bin_weighted(bin_features, bin_type, nbins, train_data_preds, test_data, M, K,
  rotate = FALSE)

Arguments

bin_features	Training data with predicted class columns from each model 1,...,M
bin_type	Type of binning "standard","quantile","iterative quantile"
nbins	vector containing number of bins in each dimension
train_data_preds	data frame containing training data and CV prediction columns
test_data	data frame containing test data. Must have same column names as training data
M	number of models in bin weighted ensemble
K	number of true classes

Value

matrix of bin weights

kmaurer/binsemble documentation built on May 7, 2019, 9:50 p.m.