glmnet::auc is giving NaN #2
Description
preds <- predict(glmnet_classifier, dtm_test_tfidf, type = 'response')[ ,1]
glmnet:::auc(as.numeric(tweets_test$sentiment),preds)
>NAN
gives error
{{ message }}
preds <- predict(glmnet_classifier, dtm_test_tfidf, type = 'response')[ ,1]
glmnet:::auc(as.numeric(tweets_test$sentiment),preds)
>NAN
gives error