31 lines
938 B
Python
31 lines
938 B
Python
##
|
|
# This script demonstrate how to access the eval metrics in xgboost
|
|
##
|
|
|
|
import xgboost as xgb
|
|
dtrain = xgb.DMatrix('../data/agaricus.txt.train', silent=True)
|
|
dtest = xgb.DMatrix('../data/agaricus.txt.test', silent=True)
|
|
|
|
param = [('max_depth', 2), ('objective', 'binary:logistic'), ('eval_metric', 'logloss'), ('eval_metric', 'error')]
|
|
|
|
num_round = 2
|
|
watchlist = [(dtest,'eval'), (dtrain,'train')]
|
|
|
|
evals_result = {}
|
|
bst = xgb.train(param, dtrain, num_round, watchlist, evals_result=evals_result)
|
|
|
|
print('Access logloss metric directly from evals_result:')
|
|
print(evals_result['eval']['logloss'])
|
|
|
|
print('')
|
|
print('Access metrics through a loop:')
|
|
for e_name, e_mtrs in evals_result.items():
|
|
print('- {}'.format(e_name))
|
|
for e_mtr_name, e_mtr_vals in e_mtrs.items():
|
|
print(' - {}'.format(e_mtr_name))
|
|
print(' - {}'.format(e_mtr_vals))
|
|
|
|
print('')
|
|
print('Access complete dictionary:')
|
|
print(evals_result)
|