Skip to main content

jiaozi

Personal research project, leveraging Jax, numba for

  • faster Statistical hypothesis testing
  • using GBDT for works outside of supervised learning, like feature selection, unsupervised learning, Classifier Two-Sample Tests

Metadata

Release files for jiaozi 0.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for jiaozi 0.0.1
File Size Uploaded Provenance
jiaozi-0.0.1.tar.gz 6.5 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for jiaozi 0.0.1
File Interpreter ABI Platform
jiaozi-0.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 15.9 kB

Release files / jiaozi-0.0.1.tar.gz

Download URL jiaozi-0.0.1.tar.gz
Size 6.5 kB
Tags Source
SHA-256 checksum
How to use checksums
0b268cb4ce45e4942710808e868c3ab27725d88a9ffb0ac39759c91accb75afe
BLAKE2b-256 checksum
How to use checksums
74f5ecdc52a3cf72e01118a051000534889bbdbd271adbe53e1dbe590ddc2978
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/5.1.0 CPython/3.12.4

Release files / jiaozi-0.0.1-py3-none-any.whl

Download URL jiaozi-0.0.1-py3-none-any.whl
Size 9.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
394c7e99266385063b01556f045897a70d803151b746e8c22881536fa54a94f0
BLAKE2b-256 checksum
How to use checksums
658d60c0ff7d58f5cdbc9025fe835a4d6002e013334fc22fecd3e78b896df5b3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/5.1.0 CPython/3.12.4

Security for jiaozi 0.0.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.0.1 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page