Skip to main content

Gradient-booseted classifiers to predict the feasibility of enzymatic reactions

Project description

The author of this package has not provided a project description

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

DORA_XGB-1.4.tar.gz (25.1 kB view details)

Uploaded Source

Built Distribution

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

DORA_XGB-1.4-py3-none-any.whl (25.6 kB view details)

Uploaded Python 3

File details

Details for the file DORA_XGB-1.4.tar.gz.

File metadata

  • Download URL: DORA_XGB-1.4.tar.gz
  • Upload date:
  • Size: 25.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.8.19

File hashes

Hashes for DORA_XGB-1.4.tar.gz
Algorithm Hash digest
SHA256 3280779ba1917e7da40ca76f56365999fd07834a2ae2a89a13c25c0e4d125000
MD5 ce6fc44993755226e926d894c4316bdc
BLAKE2b-256 b3fb374283a805c6cacd566ead3c257637919fed6d15a20b50012ecb35d85433

See more details on using hashes here.

File details

Details for the file DORA_XGB-1.4-py3-none-any.whl.

File metadata

  • Download URL: DORA_XGB-1.4-py3-none-any.whl
  • Upload date:
  • Size: 25.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.8.19

File hashes

Hashes for DORA_XGB-1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 ab8ae640b4abc98abe14970647519c4e6835e6f420f1e010d6d2f0d25a84c805
MD5 34d10c46b0fe446963b8f2b135e87bd6
BLAKE2b-256 9547caf077a2988915aadfb40b56fc4f5781ecc62d4ef8b29fc1b19ad8907073

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