predict-forestry function

predict-forestry

Return the prediction from the forest.

## S3 method for class 'forestry'
predict(
  object,
  feature.new,
  aggregation = "average",
  seed = as.integer(runif(1) * 10000),
  ...
)

Arguments

• object: A forestry object.
• feature.new: A data frame of testing predictors.
• aggregation: How the individual tree predictions are aggregated: average returns the mean of all trees in the forest; weightMatrix returns a list consisting of "weightMatrix", the adaptive nearest neighbor weights used to construct the predictions; "terminalNodes", a matrix where the ith entry of the jth column is the index of the leaf node to which the ith observation is assigned in the jth tree; and "sparse", a matrix where the ith entry in the jth column is 1 if the ith observation in feature.new is assigned to the jth leaf and 0 otherwise. In each tree the leaves are indexed using a depth first ordering, and, in the "sparse" representation, the first leaf in the second tree has column index one more than the number of leaves in the first tree and so on. So, for example, if the first tree has 5 leaves, the sixth column of the "sparse" matrix corresponds to the first leaf in the second tree.
• seed: random seed
• ...: additional arguments.

Returns

A vector of predicted responses.