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.
On master branch, in DeepLearningGradientCheck class, specifically in gradientCheck() method, approx. on line 389, an assert failed and the error propagated was way above expected threshold.
{code:java}
java.lang.AssertionError: Error too large: 0.17404528880393297 >= 0.02
at hex.deeplearning.DeepLearningGradientCheck.gradientCheck()
{code}
On master branch, in DeepLearningGradientCheck class, specifically in gradientCheck() method, approx. on line 389, an assert failed and the error propagated was way above expected threshold.
{code:java} java.lang.AssertionError: Error too large: 0.17404528880393297 >= 0.02 at hex.deeplearning.DeepLearningGradientCheck.gradientCheck() {code}
http://mr-0xc1:8080/view/H2O-3/job/h2o-3-nightly-pipeline/job/master/2240/testReport/junit/hex.deeplearning/DeepLearningGradientCheck/Java_8_JUnit___gradientCheck/