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add dump nice to regression demo

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tqchen
2014-03-26 16:47:01 -07:00
parent 1440dc9c8f
commit 2aa1031d24
4 changed files with 36 additions and 11 deletions
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demo/binary_classification/README
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@@ -4,10 +4,11 @@ Run: ./runexp.sh
Format of input: LIBSVM format
Format of featmap.txt:
<featureid> <featurename> <q or i>\n
Format of ```featmap.txt: <featureid> <featurename> <q or i or int>\n ```:
- Feature id must be from 0 to number of features, in sorted order.
- i means this feature is binary indicator feature
- q means this feature is a quantitative value, such as age, time, can be missing
- int means this feature is integer value (when int is hinted, the decision boundary will be integer)
q means continuous quantities, i means indicator features.
Feature id must be from 0 to num_features, in sorted order.
Detailed explaination: https://github.com/tqchen/xgboost/wiki/Binary-Classification
Explainations: https://github.com/tqchen/xgboost/wiki/Binary-Classification