github.com/dmitryikh/leaves v0.0.0-20230708180554-25d19a787328 predict 57.46251861844212
python xgboost=0.90 predict 10.252338 this predict is correct
python xgboost=1.7.2 predict 57.462517
my xgb trained by xgboost=0.90 (leaves load xgboost will get error when version is not 0.90 )
here is my go code:
model, err := leaves.XGEnsembleFromFile(modelfile, false)
feats := []float64{0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13032.277889490128, 0, 0, 0, 0, 0, 0, 0, 0, 0}
ret := model.PredictSingle(feats, 0)
fmt.Print(ret)
it there something wrong with my code ? a.txt is my xgb0.9 model file
a.txt
could someone help ?thank your advance
github.com/dmitryikh/leaves v0.0.0-20230708180554-25d19a787328 predict 57.46251861844212 python xgboost=0.90 predict 10.252338 this predict is correct python xgboost=1.7.2 predict 57.462517 my xgb trained by xgboost=0.90 (leaves load xgboost will get error when version is not 0.90 )
here is my go code: model, err := leaves.XGEnsembleFromFile(modelfile, false) feats := []float64{0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13032.277889490128, 0, 0, 0, 0, 0, 0, 0, 0, 0} ret := model.PredictSingle(feats, 0) fmt.Print(ret)
it there something wrong with my code ? a.txt is my xgb0.9 model file a.txt could someone help ?thank your advance