我使用以下代码来执行gridsearch,设置njobs=crossvalidation fold,但是我得到了许多行,如下所示:
GridSearchCV(estimator = est,
cv = crossval_n,
n_jobs = crossval_n,
param_grid = param_grid,
scoring = grid_score,
verbose = 1000)
信息如下:
Pickling array (shape=(2,), dtype=object).
Pickling array (shape=(7,), dtype=object).
Pickling array (shape=(5,), dtype=object).
Pickling array (shape=(5,), dtype=object).
Pickling array (shape=(2,), dtype=object).
Memmaping (shape=(300000,), dtype=float64) to old file /dev/shm/joblib_memmaping_pool_31858_140577309572624/31858-140577424627920-252eb20f1c96190cb0ef65643005ff1e.pkl
Memmaping (shape=(199999,), dtype=int64) to old file /dev/shm/joblib_memmaping_pool_31858_140577309572624/31858-140577424627920-e2ad805d63b492d1bda22f6ecd785fa9.pkl
Pickling array (shape=(100001,), dtype=int64).
[CV] n_estimators=25, loss=deviance, learning_rate=0.05, max_depth=3, score=0.663848252373, total= 4.5min
[CV] n_estimators=100, loss=deviance, learning_rate=0.05, max_depth=3
[Parallel(n_jobs=3)]: Done 1 tasks | elapsed: 4.9min
Pickling array (shape=(3376,), dtype=object).
Memmaping (shape=(73, 300000), dtype=float64) to old file /dev/shm/joblib_memmaping_pool_31858_140577309572624/31858-140577424627920-2a1a398dde29f0da54a999a91072b77b.pkl
Memmaping (shape=(1, 300000), dtype=int64) to old file /dev/shm/joblib_memmaping_pool_31858_140577309572624/31858-140577424627920-108448b3fbe2af627fc26e0b965874b9.pkl
Memmaping (shape=(62, 300000), dtype=float64) to old file /dev/shm/joblib_memmaping_pool_31858_140577309572624/31858-140577424627920-32d40c577c413ff0ea04ade1cc62a62e.pkl
不确定 1) 关于什么的信息? 2) 如果我得到这个信息有什么错误吗? 3) 如果不是错误信息,如何禁用打印
查看您正在使用的
verbose
参数您使用的是
verbose=1000
,因此您可以在输出中获得调优过程的进度更改
verbose=0
以禁用它相关问题 更多 >
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