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Update Python demos with tests. (#5651)

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* Remove GPU memory usage demo.
* Add tests for demos.
* Remove `silent`.
* Remove shebang as it's not portable.
This commit is contained in:
Jiaming Yuan
2020-05-12 12:04:42 +08:00
committed by GitHub
parent 4e64e2ef8e
commit 2c1a439869
25 changed files with 158 additions and 158 deletions
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9
demo/guide-python/generalized_linear_model.py Executable file → Normal file
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@@ -1,16 +1,17 @@
#!/usr/bin/python
import os
import xgboost as xgb
##
# this script demonstrate how to fit generalized linear model in xgboost
# basically, we are using linear model, instead of tree for our boosters
##
dtrain = xgb.DMatrix('../data/agaricus.txt.train')
dtest = xgb.DMatrix('../data/agaricus.txt.test')
CURRENT_DIR = os.path.dirname(__file__)
dtrain = xgb.DMatrix(os.path.join(CURRENT_DIR, '../data/agaricus.txt.train'))
dtest = xgb.DMatrix(os.path.join(CURRENT_DIR, '../data/agaricus.txt.test'))
# change booster to gblinear, so that we are fitting a linear model
# alpha is the L1 regularizer
# lambda is the L2 regularizer
# you can also set lambda_bias which is L2 regularizer on the bias term
param = {'silent':1, 'objective':'binary:logistic', 'booster':'gblinear',
param = {'objective':'binary:logistic', 'booster':'gblinear',
'alpha': 0.0001, 'lambda': 1}
# normally, you do not need to set eta (step_size)