Memory Utilization R h2o











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I'm working on the Titanic. However I've run into a problem where the model no longer runs but instead throws back an error that seems to have something to do with memory allocation.



Error: water.exceptions.H2OModelBuilderIllegalArgumentException: Illegal argument(s) for DRF model: DRF_model_R_1542172359909_24373_cv_1.  Details: ERRR on field: _ntrees: The tree model will not fit in the driver node's memory (2.4 KB per tree x 500 > Zero  ) - try decreasing ntrees and/or max_depth or increasing min_rows!


Here is my code sample:



 y<-"Survived"
x<-setdiff(names(newtrain_imp),y)
rf_mod<-h2o.randomForest(x,y,train_set,
nfolds = 10,
keep_cross_validation_predictions = T,
seed=233,
mtries = 8,#sampling default-1 set to al
ntrees = 500,
max_depth = 12,
validation_frame = validate_set,
binomial_double_trees = T)









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  • During initiating h2o using h2o.init(max_mem_size = ) here set the amount of RAM you want h2o to utilize.
    – Hunaidkhan
    Nov 14 at 6:11










  • Also it will be good if you can provide reproducible example using dput()
    – Hunaidkhan
    Nov 14 at 6:15










  • Restarting the session solved it. I wonder how to close this question.
    – NelsonGon
    Nov 14 at 6:19










  • you can click on marked as answer to close it .
    – Hunaidkhan
    Nov 14 at 6:20










  • There's no answer though.
    – NelsonGon
    Nov 14 at 6:22















up vote
0
down vote

favorite












I'm working on the Titanic. However I've run into a problem where the model no longer runs but instead throws back an error that seems to have something to do with memory allocation.



Error: water.exceptions.H2OModelBuilderIllegalArgumentException: Illegal argument(s) for DRF model: DRF_model_R_1542172359909_24373_cv_1.  Details: ERRR on field: _ntrees: The tree model will not fit in the driver node's memory (2.4 KB per tree x 500 > Zero  ) - try decreasing ntrees and/or max_depth or increasing min_rows!


Here is my code sample:



 y<-"Survived"
x<-setdiff(names(newtrain_imp),y)
rf_mod<-h2o.randomForest(x,y,train_set,
nfolds = 10,
keep_cross_validation_predictions = T,
seed=233,
mtries = 8,#sampling default-1 set to al
ntrees = 500,
max_depth = 12,
validation_frame = validate_set,
binomial_double_trees = T)









share|improve this question






















  • During initiating h2o using h2o.init(max_mem_size = ) here set the amount of RAM you want h2o to utilize.
    – Hunaidkhan
    Nov 14 at 6:11










  • Also it will be good if you can provide reproducible example using dput()
    – Hunaidkhan
    Nov 14 at 6:15










  • Restarting the session solved it. I wonder how to close this question.
    – NelsonGon
    Nov 14 at 6:19










  • you can click on marked as answer to close it .
    – Hunaidkhan
    Nov 14 at 6:20










  • There's no answer though.
    – NelsonGon
    Nov 14 at 6:22













up vote
0
down vote

favorite









up vote
0
down vote

favorite











I'm working on the Titanic. However I've run into a problem where the model no longer runs but instead throws back an error that seems to have something to do with memory allocation.



Error: water.exceptions.H2OModelBuilderIllegalArgumentException: Illegal argument(s) for DRF model: DRF_model_R_1542172359909_24373_cv_1.  Details: ERRR on field: _ntrees: The tree model will not fit in the driver node's memory (2.4 KB per tree x 500 > Zero  ) - try decreasing ntrees and/or max_depth or increasing min_rows!


Here is my code sample:



 y<-"Survived"
x<-setdiff(names(newtrain_imp),y)
rf_mod<-h2o.randomForest(x,y,train_set,
nfolds = 10,
keep_cross_validation_predictions = T,
seed=233,
mtries = 8,#sampling default-1 set to al
ntrees = 500,
max_depth = 12,
validation_frame = validate_set,
binomial_double_trees = T)









share|improve this question













I'm working on the Titanic. However I've run into a problem where the model no longer runs but instead throws back an error that seems to have something to do with memory allocation.



Error: water.exceptions.H2OModelBuilderIllegalArgumentException: Illegal argument(s) for DRF model: DRF_model_R_1542172359909_24373_cv_1.  Details: ERRR on field: _ntrees: The tree model will not fit in the driver node's memory (2.4 KB per tree x 500 > Zero  ) - try decreasing ntrees and/or max_depth or increasing min_rows!


Here is my code sample:



 y<-"Survived"
x<-setdiff(names(newtrain_imp),y)
rf_mod<-h2o.randomForest(x,y,train_set,
nfolds = 10,
keep_cross_validation_predictions = T,
seed=233,
mtries = 8,#sampling default-1 set to al
ntrees = 500,
max_depth = 12,
validation_frame = validate_set,
binomial_double_trees = T)






r h2o






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share|improve this question










asked Nov 14 at 6:03









NelsonGon

178111




178111












  • During initiating h2o using h2o.init(max_mem_size = ) here set the amount of RAM you want h2o to utilize.
    – Hunaidkhan
    Nov 14 at 6:11










  • Also it will be good if you can provide reproducible example using dput()
    – Hunaidkhan
    Nov 14 at 6:15










  • Restarting the session solved it. I wonder how to close this question.
    – NelsonGon
    Nov 14 at 6:19










  • you can click on marked as answer to close it .
    – Hunaidkhan
    Nov 14 at 6:20










  • There's no answer though.
    – NelsonGon
    Nov 14 at 6:22


















  • During initiating h2o using h2o.init(max_mem_size = ) here set the amount of RAM you want h2o to utilize.
    – Hunaidkhan
    Nov 14 at 6:11










  • Also it will be good if you can provide reproducible example using dput()
    – Hunaidkhan
    Nov 14 at 6:15










  • Restarting the session solved it. I wonder how to close this question.
    – NelsonGon
    Nov 14 at 6:19










  • you can click on marked as answer to close it .
    – Hunaidkhan
    Nov 14 at 6:20










  • There's no answer though.
    – NelsonGon
    Nov 14 at 6:22
















During initiating h2o using h2o.init(max_mem_size = ) here set the amount of RAM you want h2o to utilize.
– Hunaidkhan
Nov 14 at 6:11




During initiating h2o using h2o.init(max_mem_size = ) here set the amount of RAM you want h2o to utilize.
– Hunaidkhan
Nov 14 at 6:11












Also it will be good if you can provide reproducible example using dput()
– Hunaidkhan
Nov 14 at 6:15




Also it will be good if you can provide reproducible example using dput()
– Hunaidkhan
Nov 14 at 6:15












Restarting the session solved it. I wonder how to close this question.
– NelsonGon
Nov 14 at 6:19




Restarting the session solved it. I wonder how to close this question.
– NelsonGon
Nov 14 at 6:19












you can click on marked as answer to close it .
– Hunaidkhan
Nov 14 at 6:20




you can click on marked as answer to close it .
– Hunaidkhan
Nov 14 at 6:20












There's no answer though.
– NelsonGon
Nov 14 at 6:22




There's no answer though.
– NelsonGon
Nov 14 at 6:22












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During initiating h2o using h2o.init(max_mem_size = 8G) here set the amount of RAM you want h2o to utilize.






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    1 Answer
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    1 Answer
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    active

    oldest

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    oldest

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    active

    oldest

    votes








    up vote
    2
    down vote



    accepted










    During initiating h2o using h2o.init(max_mem_size = 8G) here set the amount of RAM you want h2o to utilize.






    share|improve this answer

























      up vote
      2
      down vote



      accepted










      During initiating h2o using h2o.init(max_mem_size = 8G) here set the amount of RAM you want h2o to utilize.






      share|improve this answer























        up vote
        2
        down vote



        accepted







        up vote
        2
        down vote



        accepted






        During initiating h2o using h2o.init(max_mem_size = 8G) here set the amount of RAM you want h2o to utilize.






        share|improve this answer












        During initiating h2o using h2o.init(max_mem_size = 8G) here set the amount of RAM you want h2o to utilize.







        share|improve this answer












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        answered Nov 14 at 6:25









        Hunaidkhan

        60712




        60712






























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