Update training.py
pylint compliancy
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@ -50,9 +50,10 @@ def train(params, dtrain, num_boost_round=10, evals=(), obj=None, feval=None,
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If `verbose_eval` then the evaluation metric on the validation set, if
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given, is printed at each boosting stage.
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learning_rates: list or function
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List of learning rate for each boosting round
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or a customized function that calculates eta in terms of
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current number of round and the total number of boosting round (e.g. yields learning rate decay)
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List of learning rate for each boosting round
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or a customized function that calculates eta in terms of
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current number of round and the total number of boosting round (e.g. yields
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learning rate decay)
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- list l: eta = l[boosting round]
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- function f: eta = f(boosting round, num_boost_round)
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xgb_model : file name of stored xgb model or 'Booster' instance
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