connectToData: Connect To Data

In jatherrien/largeRCRF: Large Random Competing Risks Forests

Description

When a trained forest is saved, the training dataset is not saved alongside it. When it's loaded back up, it can be more convenient (and in some cases necessary) to import the training dataset back into the Java environment so that it's readily accessible. There are only two functions that look for the training dataset: predict, where you can easily just specify an alternative dataset, or addTrees, which requires the training dataset be connected.

Usage

connectToData(forest, responses, covariateData)

Arguments

forest	The forest to connect data too
responses	The responses in the data; aka the left hand side of the formula
covariateData	A data.frame containing all of the covariates used in the training dataset

Value

The same forest, but connected to the training data.

Examples

data <- data.frame(x1=rnorm(1000), x2=rnorm(1000), y=rnorm(1000))
forest <- train(y~x1+x2, data, ntree=100, numberOfSplits=0, nodeSize=1, mtry=1)
forest$dataset <- NULL # what the forest looks like after being loaded

forest <- connectToData(forest, data$y, data)

jatherrien/largeRCRF documentation built on Nov. 15, 2019, 7:16 a.m.