0xdata’s H2O different from Apache Mahout:
- By using H2O, you can use several of R, REST/JSON. For Example curl/bash, GUI browser, Scala or Java.
- The H2O algorithms are usually 100x to 1000x faster than current Map/Reduce-based Mahout (but Mahout is working hard to port itself to both Spark and H2O).
- H2O has some algorithms implemented:
- Deep Learning / Neural Nets
- Random Forest
- Gradient Boosted Method
- Generalized Linear Modelling including Logistic, Regression, Poisson, Gamma
- PCA
- KMeans (KMeans++, KMeans||, K-modes)
- Naive Bayes
- General Data Munging any standard R expression which auto-broadens to cover arrays also works the same in H2O.
