Why I got different n_estimators
when using automl.model.estimator.get_params()
and automl.best_config
?
#1275
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azurechen97
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I tried to train a LightGBM model via FLAML. In the end, I got the tunned model
automl.model.estimator
. But I gotn_estimator = 1
when I callautoml.model.estimator.get_params()
, instead of the actual14142
provided by callingautoml.best_config
. What could be the problem?Beta Was this translation helpful? Give feedback.
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