Nonreproducible sequence of evaluations fixed (#2153)

As `num_round=2` there is no `0003.model` file after training.
This commit is contained in:
Denis M Korzhenkov 2017-03-29 20:11:23 +03:00 committed by Tianqi Chen
parent a33fa05bda
commit ed5e75de2f

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@ -97,15 +97,15 @@ lambda_bias = 0.01
#### Get Predictions #### Get Predictions
After training, we can use the output model to get the prediction of the test data: After training, we can use the output model to get the prediction of the test data:
``` ```
../../xgboost mushroom.conf task=pred model_in=0003.model ../../xgboost mushroom.conf task=pred model_in=0002.model
``` ```
For binary classification, the output predictions are probability confidence scores in [0,1], corresponds to the probability of the label to be positive. For binary classification, the output predictions are probability confidence scores in [0,1], corresponds to the probability of the label to be positive.
#### Dump Model #### Dump Model
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: 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:
``` ```
../../xgboost mushroom.conf task=dump model_in=0003.model name_dump=dump.raw.txt ../../xgboost mushroom.conf task=dump model_in=0002.model name_dump=dump.raw.txt
../../xgboost mushroom.conf task=dump model_in=0003.model fmap=featmap.txt name_dump=dump.nice.txt ../../xgboost mushroom.conf task=dump model_in=0002.model fmap=featmap.txt name_dump=dump.nice.txt
``` ```
In this demo, the tree boosters obtained will be printed in dump.raw.txt and dump.nice.txt, and the latter one is easier to understand because of usage of feature mapping featmap.txt In this demo, the tree boosters obtained will be printed in dump.raw.txt and dump.nice.txt, and the latter one is easier to understand because of usage of feature mapping featmap.txt