java.lang.AssertionError

JIRA | Nidhi Mehta | 2 years ago
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  1. 0

    cc = h2o.importFile(object=h,path="/Users/nidhimehta/Desktop/cancar_logIn.csv",key = "cc") cc$Merit = as.factor(cc$Merit) cc$Class = as.factor(cc$Class) myX =c("Merit","Class") myY = "Claims" hh = h2o.glm(x=myX,y=myY,data=cc,offset="logInsured",family="poisson",link="log",lambda=0) | | 0% Polling fails: <simpleError in .h2o.__poll(client, job_key): Got exception 'class java.lang.AssertionError', with msg 'null' java.lang.AssertionError at hex.glm.GLM2$2$1.callback(GLM2.java:1216) at hex.glm.GLM2$2$1.callback(GLM2.java:1203) at water.H2O$H2OCallback.onCompletion(H2O.java:680) at jsr166y.CountedCompleter.tryComplete(CountedCompleter.java:386) at water.MRTask2.compute2(MRTask2.java:426) at water.H2O$H2OCountedCompleter.compute(H2O.java:656) at jsr166y.CountedCompleter.exec(CountedCompleter.java:429) at jsr166y.ForkJoinTask.doExec(ForkJoinTask.java:263) at jsr166y.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:974) at jsr166y.ForkJoinPool.runWorker(ForkJoinPool.java:1477) at jsr166y.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:104) from R get- cc= as.data.frame.H2OParsedData(cc) cc$Merit = as.factor(cc$Merit) > cc$Class = as.factor(cc$Class) > gg = glm(formula=formula,family=poisson,data=cc,offset=logInsured) > summary(gg) Call: glm(formula = formula, family = poisson, data = cc, offset = logInsured) Deviance Residuals: Min 1Q Median 3Q Max -10.793 -3.008 -1.576 2.427 11.625 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -2.035736 0.004311 -472.19 <2e-16 *** Merit1 -0.137759 0.007172 -19.21 <2e-16 *** Merit2 -0.220680 0.007997 -27.59 <2e-16 *** Merit3 -0.492951 0.004502 -109.49 <2e-16 *** Class2 0.299830 0.007258 41.31 <2e-16 *** Class3 0.469055 0.005039 93.08 <2e-16 *** Class4 0.525855 0.005365 98.02 <2e-16 *** Class5 0.215550 0.010735 20.08 <2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 (Dispersion parameter for poisson family taken to be 1) Null deviance: 33854.16 on 19 degrees of freedom Residual deviance: 579.52 on 12 degrees of freedom AIC: 805.93 Number of Fisher Scoring iterations: 3

    JIRA | 2 years ago | Nidhi Mehta
    java.lang.AssertionError
  2. 0

    cc = h2o.importFile(object=h,path="/Users/nidhimehta/Desktop/cancar_logIn.csv",key = "cc") cc$Merit = as.factor(cc$Merit) cc$Class = as.factor(cc$Class) myX =c("Merit","Class") myY = "Claims" hh = h2o.glm(x=myX,y=myY,data=cc,offset="logInsured",family="poisson",link="log",lambda=0) | | 0% Polling fails: <simpleError in .h2o.__poll(client, job_key): Got exception 'class java.lang.AssertionError', with msg 'null' java.lang.AssertionError at hex.glm.GLM2$2$1.callback(GLM2.java:1216) at hex.glm.GLM2$2$1.callback(GLM2.java:1203) at water.H2O$H2OCallback.onCompletion(H2O.java:680) at jsr166y.CountedCompleter.tryComplete(CountedCompleter.java:386) at water.MRTask2.compute2(MRTask2.java:426) at water.H2O$H2OCountedCompleter.compute(H2O.java:656) at jsr166y.CountedCompleter.exec(CountedCompleter.java:429) at jsr166y.ForkJoinTask.doExec(ForkJoinTask.java:263) at jsr166y.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:974) at jsr166y.ForkJoinPool.runWorker(ForkJoinPool.java:1477) at jsr166y.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:104) from R get- cc= as.data.frame.H2OParsedData(cc) cc$Merit = as.factor(cc$Merit) > cc$Class = as.factor(cc$Class) > gg = glm(formula=formula,family=poisson,data=cc,offset=logInsured) > summary(gg) Call: glm(formula = formula, family = poisson, data = cc, offset = logInsured) Deviance Residuals: Min 1Q Median 3Q Max -10.793 -3.008 -1.576 2.427 11.625 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -2.035736 0.004311 -472.19 <2e-16 *** Merit1 -0.137759 0.007172 -19.21 <2e-16 *** Merit2 -0.220680 0.007997 -27.59 <2e-16 *** Merit3 -0.492951 0.004502 -109.49 <2e-16 *** Class2 0.299830 0.007258 41.31 <2e-16 *** Class3 0.469055 0.005039 93.08 <2e-16 *** Class4 0.525855 0.005365 98.02 <2e-16 *** Class5 0.215550 0.010735 20.08 <2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 (Dispersion parameter for poisson family taken to be 1) Null deviance: 33854.16 on 19 degrees of freedom Residual deviance: 579.52 on 12 degrees of freedom AIC: 805.93 Number of Fisher Scoring iterations: 3

    JIRA | 2 years ago | Nidhi Mehta
    java.lang.AssertionError
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    Root Cause Analysis

    1. java.lang.AssertionError

      No message provided

      at hex.glm.GLM2$2$1.callback()
    2. hex.glm
      GLM2$2$1.callback
      1. hex.glm.GLM2$2$1.callback(GLM2.java:1216)
      2. hex.glm.GLM2$2$1.callback(GLM2.java:1203)
      2 frames
    3. water
      H2O$H2OCallback.onCompletion
      1. water.H2O$H2OCallback.onCompletion(H2O.java:680)
      1 frame
    4. jsr166y
      CountedCompleter.tryComplete
      1. jsr166y.CountedCompleter.tryComplete(CountedCompleter.java:386)
      1 frame
    5. water
      H2O$H2OCountedCompleter.compute
      1. water.MRTask2.compute2(MRTask2.java:426)
      2. water.H2O$H2OCountedCompleter.compute(H2O.java:656)
      2 frames
    6. jsr166y
      ForkJoinWorkerThread.run
      1. jsr166y.CountedCompleter.exec(CountedCompleter.java:429)
      2. jsr166y.ForkJoinTask.doExec(ForkJoinTask.java:263)
      3. jsr166y.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:974)
      4. jsr166y.ForkJoinPool.runWorker(ForkJoinPool.java:1477)
      5. jsr166y.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:104)
      5 frames