fix Dart::NormalizeTrees (#1265)
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@ -84,10 +84,10 @@ Additional parameters for Dart Booster
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* normalize_type [default="tree]
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- type of normalization algorithm.
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- "tree": New trees have the same weight of each of dropped trees.
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weight of new trees are learning_rate / (k + learnig_rate)
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weight of new trees are 1 / (k + learnig_rate)
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dropped trees are scaled by a factor of k / (k + learning_rate)
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- "forest": New trees have the same weight of sum of dropped trees (forest).
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weight of new trees are learning_rate / (1 + learning_rate)
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weight of new trees are 1 / (1 + learning_rate)
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dropped trees are scaled by a factor of 1 / (1 + learning_rate)
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* rate_drop [default=0.0]
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- dropout rate.
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@ -703,7 +703,7 @@ class Dart : public GBTree {
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weight_drop[i] *= factor;
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}
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for (size_t i = 0; i < size_new_trees; ++i) {
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weight_drop.push_back(lr * factor);
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weight_drop.push_back(factor);
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}
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} else {
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// normalize_type 0
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@ -712,7 +712,7 @@ class Dart : public GBTree {
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weight_drop[i] *= factor;
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}
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for (size_t i = 0; i < size_new_trees; ++i) {
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weight_drop.push_back(1.0 * lr / (num_drop + lr));
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weight_drop.push_back(1.0 / (num_drop + lr));
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}
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}
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}
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