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Fix typo (#5399)

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Bart Broere 2020-03-09 12:41:39 +01:00 committed by GitHub
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demo/binary_classification/README.md
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@ -156,7 +156,7 @@ If you want to continue boosting from existing model, say 0002.model, use
``` ```
xgboost will load from 0002.model continue boosting for 2 rounds, and save output to continue.model. However, beware that the training and evaluation data specified in mushroom.conf should not change when you use this function. xgboost will load from 0002.model continue boosting for 2 rounds, and save output to continue.model. However, beware that the training and evaluation data specified in mushroom.conf should not change when you use this function.
#### Use Multi-Threading #### Use Multi-Threading
When you are working with a large dataset, you may want to take advantage of parallelism. If your compiler supports OpenMP, xgboost is naturally multi-threaded, to set number of parallel running add ```nthread``` parameter to you configuration. When you are working with a large dataset, you may want to take advantage of parallelism. If your compiler supports OpenMP, xgboost is naturally multi-threaded, to set number of parallel running add ```nthread``` parameter to your configuration.
Eg. ```nthread=10``` Eg. ```nthread=10```
Set nthread to be the number of your real cpu (On Unix, this can be found using ```lscpu```) Set nthread to be the number of your real cpu (On Unix, this can be found using ```lscpu```)