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.
water.exceptions.H2OIllegalArgumentException: unimplemented
at water.H2O.unimpl(H2O.java:942)
at hex.glm.GLM$GLMDriver.ADMM_solve(GLM.java:569)
at hex.glm.GLM$GLMDriver.solveGram(GLM.java:564)
at hex.glm.GLM$GLMDriver.fitIRLSM(GLM.java:668)
at hex.glm.GLM$GLMDriver.fitModel(GLM.java:930)
at hex.glm.GLM$GLMDriver.computeSubmodel(GLM.java:999)
at hex.glm.GLM$GLMDriver.computeImpl(GLM.java:1068)
at hex.ModelBuilder$Driver.compute2(ModelBuilder.java:169)
at hex.glm.GLM$GLMDriver.compute2(GLM.java:536)
at water.H2O$H2OCountedCompleter.compute(H2O.java:1217)
at jsr166y.CountedCompleter.exec(CountedCompleter.java:468)
at jsr166y.ForkJoinTask.doExec(ForkJoinTask.java:263)
at jsr166y.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:974)
at jsr166y.ForkJoinPool.runWorker(ForkJoinPool.java:1477)
at jsr166y.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:104)
Looking at the code
private double[] ADMM_solve(Gram gram, double [] xy) {
if(_parms._remove_collinear_columns || _parms._compute_p_values) {
if(!_parms._intercept) throw H2O.unimpl();
Here is the code snippet:
water.exceptions.H2OIllegalArgumentException: unimplemented
water.exceptions.H2OIllegalArgumentException: unimplemented at water.H2O.unimpl(H2O.java:942) at hex.glm.GLM$GLMDriver.ADMM_solve(GLM.java:569) at hex.glm.GLM$GLMDriver.solveGram(GLM.java:564) at hex.glm.GLM$GLMDriver.fitIRLSM(GLM.java:668) at hex.glm.GLM$GLMDriver.fitModel(GLM.java:930) at hex.glm.GLM$GLMDriver.computeSubmodel(GLM.java:999) at hex.glm.GLM$GLMDriver.computeImpl(GLM.java:1068) at hex.ModelBuilder$Driver.compute2(ModelBuilder.java:169) at hex.glm.GLM$GLMDriver.compute2(GLM.java:536) at water.H2O$H2OCountedCompleter.compute(H2O.java:1217) at jsr166y.CountedCompleter.exec(CountedCompleter.java:468) at jsr166y.ForkJoinTask.doExec(ForkJoinTask.java:263) at jsr166y.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:974) at jsr166y.ForkJoinPool.runWorker(ForkJoinPool.java:1477) at jsr166y.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:104)
Looking at the code private double[] ADMM_solve(Gram gram, double [] xy) { if(_parms._remove_collinear_columns || _parms._compute_p_values) { if(!_parms._intercept) throw H2O.unimpl();
Reference: https://community.h2o.ai/questions/1206/glm-with-compute-p-valuest-and-interceptf-not-impl.html