predict.nodeHarvest
predict method for Node Harvest objects
Given new observations, compute the prediction of a node harvest estimator.
Usage
"predict"(object, newdata = NULL, explain = NULL, maxshow = 5, weight = sapply(object[["nodes"]], attr, "weight"), ...)
Arguments
 object

An object of class
nodeHarvest
.  newdata
 A data matrix with predictor variables. If missing, the predictions on the training data are returned.
 explain

Row numbers for
newdata
for which the predictions should be `explained'. IfNULL
, no explanation is given.  maxshow
 When explaining a prediction, show at most this many nodes (the most important ones).
 weight
 Optional changed weight vector for the nodes.
 ...

Additional arguments passed to
predict
Details
If explains
is equal to NULL
, no output is printed.
If explain
is a numeric vector (with values in 1 to the number of samples in newdata
), for each observation in newdata
with a sample number in vector explain
, the following is done:
all nodes that the observation belongs to are printed on screen, along with their node mean (the mean of all training observations who fell into this node) and weight. The prediction for this new observation is the weighted average across these node means. The number of nodes show is given in descending order of their importance (weight) and the number of nodes shown is limited to maxshow
.
Value

A numeric vector with the predicted response.
See Also
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