h2o

Description

R interface for 'H2O', the scalable open source machine learning platform that offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models (GLM), Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Generalized Additive Models (GAM), ANOVA GLM, Cox Proportional Hazards, K-Means, PCA, ModelSelection, Word2Vec, as well as a fully automatic machine learning algorithm (H2O AutoML).

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installed size is 275.7Mb
  sub-directories of 1Mb or more:
    R       2.1Mb
    help    1.0Mb
    java  272.1Mb

installed size is 275.7Mb
  sub-directories of 1Mb or more:
    R       2.0Mb
    help    1.0Mb
    java  272.1Mb

installed size is 267.8Mb
  sub-directories of 1Mb or more:
    R       1.5Mb
    help    1.1Mb
    java  264.7Mb

Check History

installed size is 275.7Mb
  sub-directories of 1Mb or more:
    R       2.1Mb
    help    1.0Mb
    java  272.1Mb

installed size is 275.7Mb
  sub-directories of 1Mb or more:
    R       2.0Mb
    help    1.0Mb
    java  272.1Mb

installed size is 267.8Mb
  sub-directories of 1Mb or more:
    R       1.5Mb
    help    1.1Mb
    java  264.7Mb

Reverse Dependencies (23)

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