水深度学习：我需要重新调整输入数值变量

Question

我试图多次与水深度学习模型预测的出租车出：

deep<-h2o.deeplearning(
     training_frame = train, 
     validation_frame = valid, 
     x=predictors, 
     y=target, 
     #distribution = "gaussian", 
     #loss = "Automatic", 
     #hidden=c(30,30), 
     epochs = 50, 
     #activation="Rectifier", 
     stopping_metric="deviance", 
     stopping_tolerance=1e-5,  # stops when deviance does 
           not improve by >=0.0001 for 5 scoring events 
     stopping_rounds=5 

     ) 

这是输入变量是如何模样，TAXI_OUT是目标它是在几分钟内，当然总是> 0：

DAY_OF_WEEK CARRIER ORIGIN DEST TAXI_OUT congestion sin_deptime cos_deptime dep_blk_sin dep_blk_cos Temp Dew_point 
18   1  DL ATL PHL  32   53 -0.80644460 0.5913096 -0.3246995 0.9458172 11  12 
24   1  DL ATL EWR  23   75 -0.40673664 0.9135455 0.8371665 0.5469482 11  12 
25   1  DL ATL EWR  24   55 0.68199836 -0.7313537 0.4759474 -0.8794738 11  12 
30   1  DL ATL FLL  35   52 -0.04361939 -0.9990482 -0.7357239 -0.6772816 11  12 
32   1  DL ATL PBI  30   68 -0.78260816 -0.6225146 -0.9694003 0.2454855 11  12 
36   1  DL ATL DTW  13   50 -0.68835458 0.7253744 0.6142127 0.7891405 11  12 
    Humidity Sea_Level_Press Visibility Wind Event_1 Event_2  Event_3 
18  99   1019   2 11  Fog Rain Thunderstorm 
24  99   1019   2 11  Fog Rain Thunderstorm 
25  99   1019   2 11  Fog Rain Thunderstorm 
30  99   1019   2 11  Fog Rain Thunderstorm 
32  99   1019   2 11  Fog Rain Thunderstorm 
36  99   1019   2 11  Fog Rain Thunderstorm 

我需要重新调整在一个范围内的数字输入变量，比如，[0,1]或[-1,1]还是我让h2o处理他们？

Answer 1

H2O涉及自动缩放。你不需要做任何事情。