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.
Modified calculation of Pearson Correlation Coefficient:
Remove CorTaskCompleteObs and now use CorTask as main worker in calculating correlation.
Remove CorTaskCompleteObsMean and now use CorMean to get mean across Vecs/columns.
Add another runit for h2o.cor(). Matches base R implementation.
This new implementation should be simpler and also achieves the same results.
Previously this had issues across multiple chunks. New implementation will not have this issue anymore.
Modified calculation of Pearson Correlation Coefficient: Remove CorTaskCompleteObs and now use CorTask as main worker in calculating correlation. Remove CorTaskCompleteObsMean and now use CorMean to get mean across Vecs/columns. Add another runit for h2o.cor(). Matches base R implementation. This new implementation should be simpler and also achieves the same results. Previously this had issues across multiple chunks. New implementation will not have this issue anymore.