Skip to main content

H2O, Fast Scalable Machine Learning, for python

Project description

H2O scales statistics, machine learning and math over BigData. H2O is extensible and users can build blocks using simple math legos in the core. H2O keeps familiar interfaces like python, R, Excel & JSON so that BigData enthusiasts & experts can explore, munge, model and score datasets using a range of simple to advanced algorithms. Data collection is easy. Decision making is hard. H2O makes it fast and easy to derive insights from your data through faster and better predictive modeling. H2O has a vision of online scoring and modeling in a single platform.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

h2o-3.46.0.7-py2.py3-none-any.whl (265.9 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file h2o-3.46.0.7-py2.py3-none-any.whl.

File metadata

  • Download URL: h2o-3.46.0.7-py2.py3-none-any.whl
  • Upload date:
  • Size: 265.9 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.8

File hashes

Hashes for h2o-3.46.0.7-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 58e15c5cf3e134876fd242b07e38309f68614702ec299b3c6ffbd53484b51e79
MD5 f4bba2b524f3ad44f1db3219c991cc14
BLAKE2b-256 45111bbc9dab18a3c9648a6b14ddfe8d19954a64f6eca7e923f8eae1d29e9b5a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page