chg rank demo
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@ -3,9 +3,6 @@
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booster_type = 0
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objective="rank:pairwise"
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#objective="rank:softmax"
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#objective="lambdarank:map"
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#objective="lambdarank:ndcg"
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# Tree Booster Parameters
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# step size shrinkage
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@ -16,8 +13,7 @@ bst:gamma = 1.0
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bst:min_child_weight = 0.1
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# maximum depth of a tree
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bst:max_depth = 6
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eval_metric = "ndcg"
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eval_metric = "map"
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# Task parameters
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# the number of round to do boosting
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num_round = 4
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@ -8,4 +8,3 @@ python trans_data.py vali.txt mq2008.vali mq2008.vali.group
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../../xgboost mq2008.conf task=pred model_in=0002.model
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../../xgboost mq2008.conf task=dump model_in=0002.model name_dump=dump.raw.txt
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