H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
{noformat}: java.lang.NullPointerException
[2020-02-06T09:40:52.459Z] E at water.Lockable.set_unlocked(Lockable.java:235)
[2020-02-06T09:40:52.459Z] E at water.Lockable.access$400(Lockable.java:25)
[2020-02-06T09:40:52.459Z] E at water.Lockable$Unlock.atomic(Lockable.java:206)
[2020-02-06T09:40:52.459Z] E at water.Lockable$Unlock.atomic(Lockable.java:194)
[2020-02-06T09:40:52.459Z] E at water.TAtomic.atomic(TAtomic.java:17)
[2020-02-06T09:40:52.459Z] E at water.Atomic.compute2(Atomic.java:56)
[2020-02-06T09:40:52.459Z] E at water.Atomic.fork(Atomic.java:39)
[2020-02-06T09:40:52.459Z] E at water.Atomic.invoke(Atomic.java:31)
[2020-02-06T09:40:52.459Z] E at water.Lockable.unlock(Lockable.java:188)
[2020-02-06T09:40:52.459Z] E at water.Lockable.unlock(Lockable.java:183)
[2020-02-06T09:40:52.459Z] E at hex.grid.GridSearch.parallelGridSearch(GridSearch.java:303)
[2020-02-06T09:40:52.459Z] E at hex.grid.GridSearch.access$100(GridSearch.java:69)
[2020-02-06T09:40:52.459Z] E at hex.grid.GridSearch$1.compute2(GridSearch.java:143)
[2020-02-06T09:40:52.459Z] E at water.H2O$H2OCountedCompleter.compute(H2O.java:1468)
[2020-02-06T09:40:52.459Z] E at jsr166y.CountedCompleter.exec(CountedCompleter.java:468)
[2020-02-06T09:40:52.459Z] E at jsr166y.ForkJoinTask.doExec(ForkJoinTask.java:263)
[2020-02-06T09:40:52.459Z] E at jsr166y.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:974)
[2020-02-06T09:40:52.459Z] E at jsr166y.ForkJoinPool.runWorker(ForkJoinPool.java:1477)
[2020-02-06T09:40:52.459Z] E at jsr166y.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:104){noformat}
Starting GridSearch on prostate dataset with following params:
labelCol="AGE" hyperParameters={"_seed": [1, 2, 3]} algo=GLM, strategy="RandomDiscrete" maxModels=3 maxRuntimeSecs=60 parallelism = 0 ( adaptive parallelism)