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.
CRAN folks also suggested that we increase the time-out limit for the h2o.jar download. We have reports of it taking a long time (240 seconds) or longer. However, this is not controlled on the H2O/code side, so I am making a note of it here, but we cannot fix this via h2o-3 code.
CRAN requires HTTPS downloads so we need to update the URL
{code:java}Performing one-time download of h2o.jar from http://s3.amazonaws.com/h2o-release/h2o/rel-zeno/2/Rjar/h2o.jar (This could take a few minutes, please be patient...) Warning in download.file(url = h2o_url, destfile = temp_file, mode = "wb", : downloaded length 29996104 != reported length 138498398 Warning in download.file(url = h2o_url, destfile = temp_file, mode = "wb", : URL 'http://s3.amazonaws.com/h2o-release/h2o/rel-zeno/2/Rjar/h2o.jar': status was 'Timeout was reached' Error in download.file(url = h2o_url, destfile = temp_file, mode = "wb", : download from 'http://s3.amazonaws.com/h2o-release/h2o/rel-zeno/2/Rjar/h2o.jar' failed Error: unable to load R code in package ‘h2o’{code}
CRAN folks also suggested that we increase the time-out limit for the h2o.jar download. We have reports of it taking a long time (240 seconds) or longer. However, this is not controlled on the H2O/code side, so I am making a note of it here, but we cannot fix this via h2o-3 code.