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erdogant / hgboost

hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.
http://erdogant.github.io/hgboost
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numpy.AxisError: axis 1 is out of bounds for array of dimension 1 #15

Open quancore opened 1 year ago

quancore commented 1 year ago

When eval_metric is auc, it raises an error. The related line is hgboost.py:906 and the related issue is: https://stackoverflow.com/questions/61288972/axiserror-axis-1-is-out-of-bounds-for-array-of-dimension-1-when-calculating-auc