H2O Deep Learning默认运行回归，即使我确保目标变量是一个因子（只有两个级别） . 有关如何解决此问题的任何线索？
以下是代码：
dnn_mod <-
h2o.deeplearning(x = 2:321, # column numbers for predictors
y = 322, # column number for label
training_frame = sdcs_data, # data in H2O format
activation = "TanhWithDropout", # or 'Tanh'
input_dropout_ratio = 0.2, # % of inputs dropout
hidden_dropout_ratios = c(0.3,0.3,0.3), # % for nodes dropout
balance_classes = FALSE,
hidden = c(150,150,150),
epochs = 500,
#standardize = TRUE,
epsilon = 1.0e-5,
loss = "CrossEntropy",
stopping_rounds = 50,
stopping_metric = "AUC")
#classification = TRUE)
1 回答
如果要运行分类，则必须将响应变量编码为"factor"（aka "enum"）类型 . 请参阅H2O Deep Learning booklet中的R code example . 所有H2O算法都是如此 .