java.lang.ArrayIndexOutOfBoundsException: -2

JIRA | Mark Landry | 11 months ago
tip
Your exception is missing from the Samebug knowledge base.
Here are the best solutions we found on the Internet.
Click on the to mark the helpful solution and get rewards for you help.
  1. 0

    Reported by [~mlandry] 03-17 10:44:29.098 172.16.2.20:54321 18207 FJ-2-29 INFO: Computing quantiles for 3 different strata. 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: java.lang.ArrayIndexOutOfBoundsException: -2 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at hex.tree.DTree.node(DTree.java:83) 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at hex.tree.gbm.GBM$GBMDriver.fitBestConstantsQuantile(GBM.java:533) 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at hex.tree.gbm.GBM$GBMDriver.buildNextKTrees(GBM.java:420) 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at hex.tree.SharedTree$Driver.scoreAndBuildTrees(SharedTree.java:279) 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at hex.tree.SharedTree$Driver.compute2(SharedTree.java:225) 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at water.H2O$H2OCountedCompleter.compute(H2O.java:1181) 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at jsr166y.CountedCompleter.exec(CountedCompleter.java:468) 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at jsr166y.ForkJoinTask.doExec(ForkJoinTask.java:263) 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at jsr166y.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:974) 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at jsr166y.ForkJoinPool.runWorker(ForkJoinPool.java:1477) 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at jsr166y.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:104) Reproduces immediately with: {code} library(h2o) result<-tryCatch({h2o.shutdown(FALSE)}, error=function(e) {print(e)}, finally={print("error during shutdown")}) h2o.init(nthreads=-1,max_mem_size = '8G') train<-h2o.uploadFile("/users/arno/kaggle/paribas/input/train.csv",destination_frame = "train.hex") ## loads file in parallel test<-h2o.uploadFile("/users/arno/kaggle/paribas/input/test.csv",destination_frame = "test.hex") ## loads file in parallel #train$target<-as.factor(train$target) splits<-h2o.splitFrame(train,0.9,destination_frames = c("trainSplit","validSplit"),seed=111111111) print(paste("train dimensions:",dim(train))) print(paste("trainSplit dimensions:",dim(splits[[1]]))) print(paste("vaidSplit dimensions:",dim(splits[[2]]))) print(paste("test dimensions:",dim(test))) predictors<-colnames(train) predictors<-predictors[!(predictors %in% c("ID","target"))] gbm<-h2o.gbm( x = predictors, y="target", training_frame = splits[[1]], validation_frame = splits[[2]], ntrees = 3000, ## let stopping criteria dictate the number of trees stopping_rounds = 1, ## wait until the last round is worse than the previous ## this seems low because scoring is not on every tree by default ## If that is desired, you can turn on score_each_iteration ## (and then possibly increase stopping) stopping_tolerance = 0, max_depth = 5, distribution="quantile", quantile_alpha = 0.4, learn_rate = 0.02, sample_rate = 0.87, ## 80% row sampling col_sample_rate = 0.7, ## 80% columns seed = 222222222, model_id = "baseGbm") {code}

    JIRA | 11 months ago | Mark Landry
    java.lang.ArrayIndexOutOfBoundsException: -2
  2. 0

    Reported by [~mlandry] 03-17 10:44:29.098 172.16.2.20:54321 18207 FJ-2-29 INFO: Computing quantiles for 3 different strata. 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: java.lang.ArrayIndexOutOfBoundsException: -2 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at hex.tree.DTree.node(DTree.java:83) 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at hex.tree.gbm.GBM$GBMDriver.fitBestConstantsQuantile(GBM.java:533) 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at hex.tree.gbm.GBM$GBMDriver.buildNextKTrees(GBM.java:420) 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at hex.tree.SharedTree$Driver.scoreAndBuildTrees(SharedTree.java:279) 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at hex.tree.SharedTree$Driver.compute2(SharedTree.java:225) 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at water.H2O$H2OCountedCompleter.compute(H2O.java:1181) 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at jsr166y.CountedCompleter.exec(CountedCompleter.java:468) 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at jsr166y.ForkJoinTask.doExec(ForkJoinTask.java:263) 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at jsr166y.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:974) 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at jsr166y.ForkJoinPool.runWorker(ForkJoinPool.java:1477) 03-17 10:44:29.173 172.16.2.20:54321 18207 FJ-1-1 ERRR: at jsr166y.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:104) Reproduces immediately with: {code} library(h2o) result<-tryCatch({h2o.shutdown(FALSE)}, error=function(e) {print(e)}, finally={print("error during shutdown")}) h2o.init(nthreads=-1,max_mem_size = '8G') train<-h2o.uploadFile("/users/arno/kaggle/paribas/input/train.csv",destination_frame = "train.hex") ## loads file in parallel test<-h2o.uploadFile("/users/arno/kaggle/paribas/input/test.csv",destination_frame = "test.hex") ## loads file in parallel #train$target<-as.factor(train$target) splits<-h2o.splitFrame(train,0.9,destination_frames = c("trainSplit","validSplit"),seed=111111111) print(paste("train dimensions:",dim(train))) print(paste("trainSplit dimensions:",dim(splits[[1]]))) print(paste("vaidSplit dimensions:",dim(splits[[2]]))) print(paste("test dimensions:",dim(test))) predictors<-colnames(train) predictors<-predictors[!(predictors %in% c("ID","target"))] gbm<-h2o.gbm( x = predictors, y="target", training_frame = splits[[1]], validation_frame = splits[[2]], ntrees = 3000, ## let stopping criteria dictate the number of trees stopping_rounds = 1, ## wait until the last round is worse than the previous ## this seems low because scoring is not on every tree by default ## If that is desired, you can turn on score_each_iteration ## (and then possibly increase stopping) stopping_tolerance = 0, max_depth = 5, distribution="quantile", quantile_alpha = 0.4, learn_rate = 0.02, sample_rate = 0.87, ## 80% row sampling col_sample_rate = 0.7, ## 80% columns seed = 222222222, model_id = "baseGbm") {code}

    JIRA | 11 months ago | Mark Landry
    java.lang.ArrayIndexOutOfBoundsException: -2
  3. 0

    on master : e5b05ffc547b748c0de8051bf1333c114f9f2cdf Upload attached datasets {code:java} buildModel 'gbm', {"model_id":"gbm-fff1767c-a5e7-43ad-ab34-dc84ec6bb4e0","training_frame":"Key_Frame__ntr.hex","validation_frame":"Key_Frame__nts.hex","nfolds":0,"response_column":"C25","ignored_columns":[],"ignore_const_cols":true,"ntrees":50,"max_depth":5,"min_rows":10,"nbins":20,"nbins_cats":1024,"seed":-1,"learn_rate":0.1,"distribution":"laplace","sample_rate":1,"col_sample_rate":1,"col_sample_rate_per_tree":1,"score_each_iteration":false,"r2_stopping":0.999999,"stopping_rounds":0,"stopping_metric":"AUTO","stopping_tolerance":0.001,"max_runtime_secs":0,"build_tree_one_node":false,"quantile_alpha":0.5,"checkpoint":"","nbins_top_level":1024} {code} {code:java} java.lang.ArrayIndexOutOfBoundsException: Array index out of range: 1 at hex.tree.DTree.node(DTree.java:82) at hex.tree.gbm.GBM$GBMDriver.fitBestConstantsQuantile(GBM.java:533) at hex.tree.gbm.GBM$GBMDriver.buildNextKTrees(GBM.java:418) at hex.tree.SharedTree$Driver.scoreAndBuildTrees(SharedTree.java:280) at hex.tree.SharedTree$Driver.compute2(SharedTree.java:226) at water.H2O$H2OCountedCompleter.compute(H2O.java:1088) at jsr166y.CountedCompleter.exec(CountedCompleter.java:468) at jsr166y.ForkJoinTask.doExec(ForkJoinTask.java:263) at jsr166y.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:974) at jsr166y.ForkJoinPool.runWorker(ForkJoinPool.java:1477) at jsr166y.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:104) {code}

    JIRA | 1 year ago | Nidhi Mehta
    java.lang.ArrayIndexOutOfBoundsException: Array index out of range: 1
  4. Speed up your debug routine!

    Automated exception search integrated into your IDE

  5. 0

    on master : e5b05ffc547b748c0de8051bf1333c114f9f2cdf Upload attached datasets {code:java} buildModel 'gbm', {"model_id":"gbm-fff1767c-a5e7-43ad-ab34-dc84ec6bb4e0","training_frame":"Key_Frame__ntr.hex","validation_frame":"Key_Frame__nts.hex","nfolds":0,"response_column":"C25","ignored_columns":[],"ignore_const_cols":true,"ntrees":50,"max_depth":5,"min_rows":10,"nbins":20,"nbins_cats":1024,"seed":-1,"learn_rate":0.1,"distribution":"laplace","sample_rate":1,"col_sample_rate":1,"col_sample_rate_per_tree":1,"score_each_iteration":false,"r2_stopping":0.999999,"stopping_rounds":0,"stopping_metric":"AUTO","stopping_tolerance":0.001,"max_runtime_secs":0,"build_tree_one_node":false,"quantile_alpha":0.5,"checkpoint":"","nbins_top_level":1024} {code} {code:java} java.lang.ArrayIndexOutOfBoundsException: Array index out of range: 1 at hex.tree.DTree.node(DTree.java:82) at hex.tree.gbm.GBM$GBMDriver.fitBestConstantsQuantile(GBM.java:533) at hex.tree.gbm.GBM$GBMDriver.buildNextKTrees(GBM.java:418) at hex.tree.SharedTree$Driver.scoreAndBuildTrees(SharedTree.java:280) at hex.tree.SharedTree$Driver.compute2(SharedTree.java:226) at water.H2O$H2OCountedCompleter.compute(H2O.java:1088) at jsr166y.CountedCompleter.exec(CountedCompleter.java:468) at jsr166y.ForkJoinTask.doExec(ForkJoinTask.java:263) at jsr166y.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:974) at jsr166y.ForkJoinPool.runWorker(ForkJoinPool.java:1477) at jsr166y.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:104) {code}

    JIRA | 1 year ago | Nidhi Mehta
    java.lang.ArrayIndexOutOfBoundsException: Array index out of range: 1

    Root Cause Analysis

    1. java.lang.ArrayIndexOutOfBoundsException

      -2

      at hex.tree.DTree.node()
    2. hex.tree
      DTree.node
      1. hex.tree.DTree.node(DTree.java:83)
      1 frame
    3. hex.tree.gbm
      GBM$GBMDriver.buildNextKTrees
      1. hex.tree.gbm.GBM$GBMDriver.fitBestConstantsQuantile(GBM.java:533)
      2. hex.tree.gbm.GBM$GBMDriver.buildNextKTrees(GBM.java:420)
      2 frames
    4. hex.tree
      SharedTree$Driver.compute2
      1. hex.tree.SharedTree$Driver.scoreAndBuildTrees(SharedTree.java:279)
      2. hex.tree.SharedTree$Driver.compute2(SharedTree.java:225)
      2 frames
    5. water
      H2O$H2OCountedCompleter.compute
      1. water.H2O$H2OCountedCompleter.compute(H2O.java:1181)
      1 frame
    6. jsr166y
      ForkJoinWorkerThread.run
      1. jsr166y.CountedCompleter.exec(CountedCompleter.java:468)
      2. jsr166y.ForkJoinTask.doExec(ForkJoinTask.java:263)
      3. jsr166y.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:974)
      4. jsr166y.ForkJoinPool.runWorker(ForkJoinPool.java:1477)
      5. jsr166y.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:104)
      5 frames