catboost / catboost/benchmarks
'data' is numpy array of floating point numerical type, it means no categorical features, but 'cat_features' parameter specifies nonzero number of categorical features
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Description
Hi everyone, it's me again. I have run this code. I get error code below:
` pool = Pool(data, label, cat_features=cat_cols)`
the error :
`'data' is numpy array of floating point numerical type, it means no categorical features,"
_catboost.CatBoostError: 'data' is numpy array of floating point numerical type, it means no categorical features, but 'cat_features' parameter specifies nonzero number of categorical features`
Does anyone know what is happening, i did't change any of the code but got error maybe because of my train and test file. But I dont know how is the structure for test and train file.
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