All,
I have a grid search of gradient boosting classifier. All works well the best
model is extracted and predict works on the model. I would like to extract the
cv_results_ My set-up is pretty standard
gbclassifier = GridSearchCV(GradientBoostingClassifier(),
paramet
I am tying to repeat an array 3 times using the following
numpy.repeat(numpy.linspace(-.5, 3, 8), 3) axis = 0)
although this repeats each element 3 times sequentially. I trying to repeat the
array
-.5 -0 .5 ... -5 -0 .5
any suggestions to accomplish this are appreciated. I am relatively s
arameters, versose = 3m
> n_jobs = 4), scoring='roc_auc')
>
>
>
>> On 7/24/19 1:24 PM, Glenn Schultz via scikit-learn wrote:
>> I am using GBClassifier, the below works if I use the default accuracy but
>> it fails using roc_auc or roc_auc_score. I have fou
I am using GBClassifier, the below works if I use the default accuracy but it
fails using roc_auc or roc_auc_score. I have found many examples to work with
but for the life of me I can’t get it two work with roc_auc. What am I doing
wrong.
from sklearn.ensemble import GradientBoostingClassifi
