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.
print "This demonstrates that seeding runif on identical frames with different chunk distributions provides different results. upload_file: {0}, import_frame: {1}.".format(r_u.mean(), r_i.mean())
uploaded_frame = h2o.upload_file(h2o.locate("bigdata/laptop/mnist/train.csv.gz")) r_u = uploaded_frame[0].runif(1234)
imported_frame = h2o.import_frame(h2o.locate("bigdata/laptop/mnist/train.csv.gz")) r_i = imported_frame[0].runif(1234)
print "This demonstrates that seeding runif on identical frames with different chunk distributions provides different results. upload_file: {0}, import_frame: {1}.".format(r_u.mean(), r_i.mean())