Add JSON dump functionality documentation (#3600)
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@ -102,7 +102,7 @@ After training, we can use the output model to get the prediction of the test da
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For binary classification, the output predictions are probability confidence scores in [0,1], corresponds to the probability of the label to be positive.
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For binary classification, the output predictions are probability confidence scores in [0,1], corresponds to the probability of the label to be positive.
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#### Dump Model
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#### Dump Model
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This is a preliminary feature, so far only tree model support text dump. XGBoost can display the tree models in text files and we can scan the model in an easy way:
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This is a preliminary feature, so only tree models support text dump. XGBoost can display the tree models in text or JSON files, and we can scan the model in an easy way:
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```
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```
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../../xgboost mushroom.conf task=dump model_in=0002.model name_dump=dump.raw.txt
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../../xgboost mushroom.conf task=dump model_in=0002.model name_dump=dump.raw.txt
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../../xgboost mushroom.conf task=dump model_in=0002.model fmap=featmap.txt name_dump=dump.nice.txt
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../../xgboost mushroom.conf task=dump model_in=0002.model fmap=featmap.txt name_dump=dump.nice.txt
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@ -361,6 +361,10 @@ The following parameters are only used in the console version of XGBoost
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- Feature map, used for dumping model
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- Feature map, used for dumping model
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* ``dump_format`` [default= ``text``] options: ``text``, ``json``
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- Format of model dump file
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* ``name_dump`` [default= ``dump.txt``]
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* ``name_dump`` [default= ``dump.txt``]
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- Name of model dump file
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- Name of model dump file
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