Skip to main content

Feature Store Client for Python

Project description

Feature Store Client

Feature Store is used to manage and provide easy access for curated features. The goal is to abstract the underlying storage of the features and also provide a consistent and unified storage for the features meta-data. The features should be versioned so data scientist can be sure that the model trained on specific combination of features will always lead to the same results.

Feature Store Client provides a simple, high-level API for integrating Python environments with H2O.ai's Feature Store.

Project details


Download files

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

Source Distribution

h2o-featurestore-1.2.0.tar.gz (159.2 kB view details)

Uploaded Source

File details

Details for the file h2o-featurestore-1.2.0.tar.gz.

File metadata

  • Download URL: h2o-featurestore-1.2.0.tar.gz
  • Upload date:
  • Size: 159.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for h2o-featurestore-1.2.0.tar.gz
Algorithm Hash digest
SHA256 0c57bebce474b54f83965c801d9c470c7a2a49a7e394bdb10f479702d0131df4
MD5 cc8048ef93d4246486bcee60b9ad0a97
BLAKE2b-256 76048e8f5ffeaafd5869dff3660f1273e910ae345c87f14020763a1a2dbc495f

See more details on using hashes here.

Supported by

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