我想使用xgboost创建一个预测模型：
model_xgboost <- xgboost(data = sparse_matrix_train,
label = as.numeric(mydata$RealPtot),
nrounds = nrounds,
objective = "reg:linear",
eta = 0.3,
depth = 6)
results_xgb <- predict(model_xgboost, sparse_matrix_test)
这是我得到的错误：
predict.xgb.Booster（model_xgboost，sparse_matrix_test）中的错误：
存储在object和newdata中的功能名称是不同的！
我认为发生此错误是因为训练和测试矩阵的顺序不同。 有什么方法可以对两个矩阵重新排序，以使列的顺序相同？
用于培训和测试的列名：
#Test Set
colnames(sparse_matrix_test)
[1] "IsWeekdayweekend" "IsHoliday1" "BreakEaster_Recess"
[4] "BreakMid_Term_Break" "BreakNon_Break" "IsWeekday_lag24weekend"
[7] "IsHoliday_lag241" "IsHoliday_lag1681" "actTemp"
[10] "Temp_lag24" "Ptot_lag24" "Ptot_lag168"
[13] "Temp_lag168" "Poly3_actTemp" "Month02"
[16] "Month03" "Month04" "Month05"
[19] "Month06" "Month07" "Month08"
[22] "Month09" "Month10" "Month11"
[25] "Month12" "Day02" "Day03"
[28] "Day04" "Day05" "Day06"
[31] "Day07" "Day08" "Day09"
[34] "Day10" "Day11" "Day12"
[37] "Day13" "Day14" "Day15"
[40] "Day16" "Day17" "Day18"
[43] "Day19" "Day20" "Day21"
[46] "Day22" "Day23" "Day24"
[49] "Day25" "Day26" "Day27"
[52] "Day28" "Day29" "Day30"
[55] "Day31" "hour01" "hour02"
[58] "hour03" "hour04" "hour05"
[61] "hour06" "hour07" "hour08"
[64] "hour09" "hour10" "hour11"
[67] "hour12" "hour13" "hour14"
[70] "hour15" "hour16" "hour17"
[73] "hour18" "hour19" "hour20"
[76] "hour21" "hour22" "hour23"
# Training set
colnames(sparse_matrix_train)
[1] "Ptot_lag24" "Ptot_lag168" "actTemp"
[4] "Poly3_actTemp" "Temp_lag24" "Temp_lag168"
[7] "IsHoliday1" "IsWeekdayweekend" "BreakEaster_Recess"
[10] "BreakMid_Term_Break" "BreakNon_Break" "IsWeekday_lag24weekend"
[13] "IsHoliday_lag241" "IsHoliday_lag1681" "hour01"
[16] "hour02" "hour03" "hour04"
[19] "hour05" "hour06" "hour07"
[22] "hour08" "hour09" "hour10"
[25] "hour11" "hour12" "hour13"
[28] "hour14" "hour15" "hour16"
[31] "hour17" "hour18" "hour19"
[34] "hour20" "hour21" "hour22"
[37] "hour23" "Month02" "Month03"
[40] "Month04" "Month05" "Month06"
[43] "Month07" "Month08" "Month09"
[46] "Month10" "Month11" "Month12"
[49] "Day02" "Day03" "Day04"
[52] "Day05" "Day06" "Day07"
[55] "Day08" "Day09" "Day10"
[58] "Day11" "Day12" "Day13"
[61] "Day14" "Day15" "Day16"
[64] "Day17" "Day18" "Day19"
[67] "Day20" "Day21" "Day22"
[70] "Day23" "Day24" "Day25"
[73] "Day26" "Day27" "Day28"
[76] "Day29" "Day30" "Day31"