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lightgbm_dataexpo_speed.log
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[LightGBM] [Info] Finished loading parameters
[LightGBM] [Info] Finished loading data in 2.711657 seconds
[LightGBM] [Warning] Starting from the 2.1.2 version, default value for the "boost_from_average" parameter in "binary" objective is true.
This may cause significantly different results comparing to the previous versions of LightGBM.
Try to set boost_from_average=false, if your old models produce bad results
[LightGBM] [Info] Number of positive: 1927804, number of negative: 8072196
[LightGBM] [Warning] Auto-choosing row-wise multi-threading, the overhead of testing was 0.049026 seconds.
You can set `force_row_wise=true` to remove the overhead.
And if memory is not enough, you can set `force_col_wise=true`.
[LightGBM] [Info] Total Bins 1818
[LightGBM] [Info] Number of data points in the train set: 10000000, number of used features: 656
[LightGBM] [Info] Finished initializing training
[LightGBM] [Info] Started training...
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.192780 -> initscore=-1.432044
[LightGBM] [Info] Start training from score -1.432044
[LightGBM] [Info] 0.223479 seconds elapsed, finished iteration 1
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