minor changes
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@ -7,4 +7,4 @@ run ./run.sh
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you need to compile xgboost python model in ../../python
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you need to compile xgboost python model in ../../python
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speedtest.py compares xgboost's speed on this dataset with sklearn
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@ -1,4 +1,4 @@
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#!/bin/bash
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#!/bin/bash
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./higgs-numpy.py
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python higgs-numpy.py
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./higgs-pred.py
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python higgs-pred.py
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@ -1,4 +1,4 @@
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#!/usr/local/bin/python
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#!/usr/bin/python
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# this is the example script to use xgboost to train
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# this is the example script to use xgboost to train
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import sys
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import sys
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import numpy as np
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import numpy as np
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@ -52,7 +52,7 @@ print "training GBM from sklearn"
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tmp = time.time()
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tmp = time.time()
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gbm = GradientBoostingClassifier(n_estimators=num_round, max_depth=6, verbose=2)
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gbm = GradientBoostingClassifier(n_estimators=num_round, max_depth=6, verbose=2)
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gbm.fit(data, label)
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gbm.fit(data, label)
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print "GBM costs: %s seconds" % str(time.time() - tmp)
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print "sklearn.GBM costs: %s seconds" % str(time.time() - tmp)
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#raw_input()
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#raw_input()
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print "training xgboost"
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print "training xgboost"
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threads = [1, 2, 4, 16]
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threads = [1, 2, 4, 16]
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