Update demo scripts to use installed python library

demo/binary_classification/mapfeat.py

@@ -1,5 +1,4 @@
 #!/usr/bin/python
-import sys
 
 def loadfmap( fname ):
     fmap = {}

demo/guide-python/basic_walkthrough.py

@@ -1,10 +1,6 @@
 #!/usr/bin/python
-import sys
 import numpy as np
 import scipy.sparse
-# append the path to xgboost, you may need to change the following line
-# alternatively, you can add the path to PYTHONPATH environment variable
-sys.path.append('../../wrapper')
 import xgboost as xgb
 
 ### simple example

demo/guide-python/boost_from_prediction.py

@@ -1,7 +1,5 @@
 #!/usr/bin/python
-import sys
 import numpy as np
-sys.path.append('../../wrapper')
 import xgboost as xgb
 
 dtrain = xgb.DMatrix('../data/agaricus.txt.train')

demo/guide-python/cross_validation.py

@@ -1,7 +1,5 @@
 #!/usr/bin/python
-import sys
 import numpy as np
-sys.path.append('../../wrapper')
 import xgboost as xgb
 
 ### load data in do training

demo/guide-python/custom_objective.py

@@ -1,7 +1,5 @@
 #!/usr/bin/python
-import sys
 import numpy as np
-sys.path.append('../../wrapper')
 import xgboost as xgb
 ###
 # advanced: cutomsized loss function

demo/guide-python/generalized_linear_model.py

@@ -1,6 +1,4 @@
 #!/usr/bin/python
-import sys
-sys.path.append('../../wrapper')
 import xgboost as xgb
 ##
 #  this script demonstrate how to fit generalized linear model in xgboost

demo/guide-python/predict_first_ntree.py

@@ -1,7 +1,5 @@
 #!/usr/bin/python
-import sys
 import numpy as np
-sys.path.append('../../wrapper')
 import xgboost as xgb
 
 ### load data in do training

demo/guide-python/predict_leaf_indices.py

@@ -1,7 +1,5 @@
 #!/usr/bin/python
-import sys
 import numpy as np
-sys.path.append('../../wrapper')
 import xgboost as xgb
 
 ### load data in do training

demo/guide-python/sklearn_examples.py

@@ -4,8 +4,6 @@ Created on 1 Apr 2015
 @author: Jamie Hall
 '''
 
-import sys
-sys.path.append('../../wrapper')
 import xgboost as xgb
 
 import numpy as np

demo/kaggle-higgs/higgs-cv.py

@@ -1,7 +1,5 @@
 #!/usr/bin/python
-import sys
 import numpy as np
-sys.path.append('../../wrapper')
 import xgboost as xgb
 
 ### load data in do training

demo/kaggle-higgs/higgs-numpy.py

@@ -1,14 +1,6 @@
 #!/usr/bin/python
 # this is the example script to use xgboost to train
-import inspect
-import os
-import sys
 import numpy as np
-# add path of xgboost python module
-code_path = os.path.join(
-    os.path.split(inspect.getfile(inspect.currentframe()))[0], "../../wrapper")
-
-sys.path.append(code_path)
 
 import xgboost as xgb
 

demo/kaggle-higgs/higgs-pred.py

@@ -1,9 +1,6 @@
 #!/usr/bin/python
 # make prediction
-import sys
 import numpy as np
-# add path of xgboost python module
-sys.path.append('../../wrapper/')
 import xgboost as xgb
 
 # path to where the data lies

demo/kaggle-higgs/speedtest.py

@@ -1,9 +1,6 @@
 #!/usr/bin/python
 # this is the example script to use xgboost to train
-import sys
 import numpy as np
-# add path of xgboost python module
-sys.path.append('../../wrapper/')
 import xgboost as xgb
 from sklearn.ensemble import GradientBoostingClassifier
 import time

demo/multiclass_classification/train.py

@@ -1,7 +1,5 @@
 #! /usr/bin/python
-import sys
 import numpy as np
-sys.path.append('../../wrapper/')
 import xgboost as xgb
 
 # label need to be 0 to num_class -1

demo/regression/mapfeat.py

@@ -1,5 +1,4 @@
 #!/usr/bin/python
-import sys
 
 fo = open( 'machine.txt', 'w' )
 cnt = 6