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:
    1. Deep Learning / Neural Nets
    2. Random Forest
    3. Gradient Boosted Method
    4. Generalized Linear Modelling including Logistic, Regression, Poisson, Gamma
    5. PCA
    6. KMeans (KMeans++, KMeans||, K-modes)
    7. Naive Bayes
    8. General Data Munging any standard R expression which auto-broadens to cover arrays also works the same in H2O.
Oxdatas h2o different form apache mahout

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