c024c42dce
* Use sphinx gallery to integrate examples. * Remove mock objects. * Add dask doc inventory.
34 lines
1.0 KiB
Python
34 lines
1.0 KiB
Python
"""
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This script demonstrate how to access the eval metrics
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======================================================
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"""
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import os
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import xgboost as xgb
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CURRENT_DIR = os.path.dirname(__file__)
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dtrain = xgb.DMatrix(os.path.join(CURRENT_DIR, '../data/agaricus.txt.train'))
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dtest = xgb.DMatrix(os.path.join(CURRENT_DIR, '../data/agaricus.txt.test'))
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param = [('max_depth', 2), ('objective', 'binary:logistic'), ('eval_metric', 'logloss'), ('eval_metric', 'error')]
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num_round = 2
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watchlist = [(dtest,'eval'), (dtrain,'train')]
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evals_result = {}
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bst = xgb.train(param, dtrain, num_round, watchlist, evals_result=evals_result)
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print('Access logloss metric directly from evals_result:')
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print(evals_result['eval']['logloss'])
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print('')
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print('Access metrics through a loop:')
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for e_name, e_mtrs in evals_result.items():
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print('- {}'.format(e_name))
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for e_mtr_name, e_mtr_vals in e_mtrs.items():
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print(' - {}'.format(e_mtr_name))
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print(' - {}'.format(e_mtr_vals))
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print('')
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print('Access complete dictionary:')
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print(evals_result)
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