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

If you're not sure about the file name format, learn more about wheel file names.

h2o-3.46.0.10-py2.py3-none-any.whl (266.4 MB view details)

Uploaded Python 2Python 3

File details

Details for the file h2o-3.46.0.10-py2.py3-none-any.whl.

File metadata

  • Download URL: h2o-3.46.0.10-py2.py3-none-any.whl
  • Upload date:
  • Size: 266.4 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-3.46.0.10-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 ebb6319d942be7e6d240d64d817714b0d4853cfd4d1172570e1da366526f3c7f
MD5 3412ed55c3b9b996b84b5645f00f5047
BLAKE2b-256 3745823a2c9764b9f340a46ccf665934d1df50fd875b8ea7760c39511933cdd5

See more details on using hashes here.

Supported by

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