I'm trying to implement a gradient boosting machine model using R's h2o package. However, the model keeps dropping a certain column that I know from other model build ups that this column is important.
Warning message:
In .h2o.startModelJob(algo, params, h2oRestApiVersion) :
Dropping bad and constant columns:['mycolumn']
How do I stop h2o from dropping this column? Here is what I tried:
gbm_fit<-h2o.gbm(x,y,train_set,nfolds = 10,
ntrees = 250,
learn_rate = 0.15,
max_depth = 7,
validation_frame = validate_set,seed = 233,
ignore_const_cols = F
)
Make sure the column class is correct and accepted by the function.