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Go to file Code Clone HTTPS GitHub CLI Use Git or checkout with SVN using the web URL. Open with GitHub Desktop Download ZIP This branch is 7135 commits behind h2oai:master. Pull request Compare Latest commit Git stats 21,083 commits Files Permalink Failed to load latest com...
Go to file Code Clone HTTPS GitHub CLI Use Git or checkout with SVN using the web URL. Open with GitHub Desktop Download ZIP This branch is 688 commits behind h2oai:master. Pull request Compare Latest commit Git stats 27,668 commits Files Permalink Failed to load latest comm...
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While most of this README is written for developers who do their own builds, most H2O users just download and use a pre-built version. If you are a Python or R user, the easiest way to install H2O is viaPyPIorAnaconda(for Python) orCRAN(for R): ...
Python tests require: pip install scikit-learn pip install numpy pip install scipy pip install pandas pip install statsmodels pip install patsy pip install future 4.3. Setup on Windows Step 1: Download and installWinPython. From the command line, validatepythonis using the newly installed package ...
If you are a Python or R user, the easiest way to install H2O is via PyPI or Anaconda (for Python) or CRAN (for R): Python pip install h2o R install.packages("h2o") For the latest stable, nightly, Hadoop (or Spark / Sparkling Water) releases, or the stand-alone H2O jar, please...
If you are a Python or R user, the easiest way to install H2O is via PyPI or Anaconda (for Python) or CRAN (for R): Python pip install h2o R install.packages("h2o") For the latest stable, nightly, Hadoop (or Spark / Sparkling Water) releases, or the stand-alone H2O jar, please...
If you are a Python or R user, the easiest way to install H2O is via PyPI or Anaconda (for Python) or CRAN (for R): Python pip install h2o R install.packages("h2o") For the latest stable, nightly, Hadoop (or Spark / Sparkling Water) releases, or the stand-alone H2O jar, please...