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local dt = require "decisiontree._env"
-- An interface for decision trees.
local DecisionTree = torch.class("dt.DecisionTree", dt)
-- Score an input example and return the prediction score.
-- input is a Tensor or SparseTensor
-- return prediction score and nodeId
function DecisionTree:score(input)
error"Not Implemented"
return score, nodeId
end
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