小编YNW*_*NWA的帖子

我得到的错误是这样的。我的数据的子集 [~100k 示例] 与原始数据集 [400k 示例] 具有完全相同的列数。但它在原始数据集上运行完美，但在子集上运行不佳。

Traceback (most recent call last)
<ipython-input-14-35cf02055a2e> in <module>()
     15 from h2o.estimators.gbm import H2OGradientBoostingEstimator
     16 gbm_cv3 = H2OGradientBoostingEstimator(nfolds=2)
---> 17 gbm_cv3.train(x=x, y=y, training_frame=train)
     18 ## Getting all cross validated models
     19 all_models = gbm_cv3.cross_validation_models()



error_count = 2
    http_status = 412
    msg = u'Illegal argument(s) for GBM model: 
GBM_model_python_1533214798867_179.  Details: ERRR on field: 
_response: Response cannot be constant.'
    dev_msg = u'Illegal argument(s) for GBM model: 
GBM_model_python_1533214798867_179.  Details: ERRR on field: 
_response: Response cannot be constant.'