Machine learning tuning

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for zefang from gravatar.com zefang

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD 3-Clause License Copyright (c) 2024, Zefang Shen Redistribution and use in source and binary f...
  • Author: Zefang Shen
  • Maintainer: Zefang Shen
  • Tags specifications
  • Requires: Python >=3.8

Project description

Machine learning tunning

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for zefang from gravatar.com zefang

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD 3-Clause License Copyright (c) 2024, Zefang Shen Redistribution and use in source and binary f...
  • Author: Zefang Shen
  • Maintainer: Zefang Shen
  • Tags specifications
  • Requires: Python >=3.8

Release history Release notifications | RSS feed

This version

0.0.1

Download files

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

Source Distribution

spexpy-0.0.1.tar.gz (3.4 kB view details)

Uploaded Source

Built Distribution

spexpy-0.0.1-py3-none-any.whl (4.1 kB view details)

Uploaded Python 3

File details

Details for the file spexpy-0.0.1.tar.gz.

File metadata

  • Download URL: spexpy-0.0.1.tar.gz
  • Upload date:
  • Size: 3.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.3

File hashes

Hashes for spexpy-0.0.1.tar.gz
Algorithm Hash digest
SHA256 395b6e6ddf90e2b5549ffccf128a2d20d75455ba658778584eac5ba5e8f65074
MD5 d650df21b23f9f3e4fc75c0ac627a310
BLAKE2b-256 151b1ff35be52bd151317a9870f7a97ec94cd95fcf8a79520f72d9a8cee65449

See more details on using hashes here.

File details

Details for the file spexpy-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: spexpy-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 4.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.3

File hashes

Hashes for spexpy-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 f22f0b2a9b57c57e7a04e28fe5135d12d617785c7bec4666c85d2063fabf4260
MD5 cf626b3f84ed41390b1ea7a1bcd3a048
BLAKE2b-256 c3f60ff64fee64f40b65e70177ad31cb37b5012cb153c34e0426fd82bf894987

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