Group CLI demo into subdirectory. (#6258)

CLI is not most developed interface. Putting them into correct directory can help new users to avoid it as most of the use cases are from a language binding.

Author: trivialfis

demo/binary_classification/README.md demo/CLI/binary_classification/README.mddemo/binary_classification/README.md renamed to demo/CLI/binary_classification/README.md

@@ -18,7 +18,7 @@ max_depth = 3
 # the number of round to do boosting
 num_round = 2
 # 0 means do not save any model except the final round model
-save_period = 0
+save_period = 2
 # The path of training data
 data = "agaricus.txt.train"
 # The path of validation data, used to monitor training process, here [test] sets name of the validation set

…ary_classification/agaricus-lepiota.data …ary_classification/agaricus-lepiota.datademo/binary_classification/agaricus-lepiota.data renamed to demo/CLI/binary_classification/agaricus-lepiota.data demo/binary_classification/agaricus-lepiota.data renamed to demo/CLI/binary_classification/agaricus-lepiota.data

@@ -3,13 +3,15 @@
 python mapfeat.py
 # split train and test
 python mknfold.py agaricus.txt 1
+
+XGBOOST=../../../xgboost
+
 # training and output the models
-../../xgboost mushroom.conf
-# output prediction task=pred 
-../../xgboost mushroom.conf task=pred model_in=0002.model
+$XGBOOST mushroom.conf
+# output prediction task=pred
+$XGBOOST mushroom.conf task=pred model_in=0002.model
 # print the boosters of 00002.model in dump.raw.txt
-../../xgboost mushroom.conf task=dump model_in=0002.model name_dump=dump.raw.txt 
+$XGBOOST mushroom.conf task=dump model_in=0002.model name_dump=dump.raw.txt
 # use the feature map in printing for better visualization
-../../xgboost mushroom.conf task=dump model_in=0002.model fmap=featmap.txt name_dump=dump.nice.txt
+$XGBOOST mushroom.conf task=dump model_in=0002.model fmap=featmap.txt name_dump=dump.nice.txt
 cat dump.nice.txt
-