Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

TensorFlow Recommenders Addons are a collection of projects related to large-scale recommendation systems built upon TensorFlow. They are contributed and maintained by the community. Those contributions will be complementary to TensorFlow Core and TensorFlow Recommenders etc.

Metadata

Release files for tfra-nightly 0.6.0.dev20230519093933

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

Built distributions (wheels)

Table of built distributions (wheels) for tfra-nightly 0.6.0.dev20230519093933
File
tfra_nightly-0.6.0.dev20230519093933-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.12+ x86-64 Details
tfra_nightly-0.6.0.dev20230519093933-cp39-cp39-macosx_10_13_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.13+ x86-64 Details
tfra_nightly-0.6.0.dev20230519093933-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.12+ x86-64 Details
tfra_nightly-0.6.0.dev20230519093933-cp38-cp38-macosx_10_13_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.13+ x86-64 Details
tfra_nightly-0.6.0.dev20230519093933-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64 Details
tfra_nightly-0.6.0.dev20230519093933-cp37-cp37m-macosx_10_13_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64 Details

Total release size: 32.2 MB

Release files / tfra_nightly-0.6.0.dev20230519093933-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfra_nightly-0.6.0.dev20230519093933-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 6.6 MB
Tags CPython 3.9 Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
2e402d4ce999e04a209a3b85a6ed8e9268e7395d05f630e702a4b85123bf5b53
BLAKE2b-256 checksum
How to use checksums
3070255f66b0d7fcc8fbe2732878095c47ab45a50d69ba4e2afc59834ce9db8c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.16

Release files / tfra_nightly-0.6.0.dev20230519093933-cp39-cp39-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.6.0.dev20230519093933-cp39-cp39-macosx_10_13_x86_64.whl
Size 4.1 MB
Tags CPython 3.9 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
a19eba5a37eee3831f25ef98aea27ab1f87a4b826675216b51898de1bbaec1b2
BLAKE2b-256 checksum
How to use checksums
46253bedaae95d758bd5c8a9e20f269be628c21552202706bafa7d2686985285
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.16

Release files / tfra_nightly-0.6.0.dev20230519093933-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfra_nightly-0.6.0.dev20230519093933-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 6.6 MB
Tags CPython 3.8 Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
75fdcea215d136f636890c62a26dcadef82e472fdd2b24694981575878003e99
BLAKE2b-256 checksum
How to use checksums
02688141476c06fb63162c3dceb16b44b3c45f927e026ba5173f195713d2827a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.16

Release files / tfra_nightly-0.6.0.dev20230519093933-cp38-cp38-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.6.0.dev20230519093933-cp38-cp38-macosx_10_13_x86_64.whl
Size 4.1 MB
Tags CPython 3.8 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
1c1d3533130d024178bcb6ad2c970ac10771e36175cc1d0260fd45aa4742c921
BLAKE2b-256 checksum
How to use checksums
e03448cd0eeaf5d5f8e2750244c630f0b054c0dd179aa12b178b18941ed82fc5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.16

Release files / tfra_nightly-0.6.0.dev20230519093933-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfra_nightly-0.6.0.dev20230519093933-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 6.6 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
8650f5eaef49824dd79fa8138c8a74bbed3cb7e593615e5da8c9b1a93f67360c
BLAKE2b-256 checksum
How to use checksums
e7df3549511e82deb4e5979a2059f8508fc6f847803b46dae367dead77746600
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.16

Release files / tfra_nightly-0.6.0.dev20230519093933-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.6.0.dev20230519093933-cp37-cp37m-macosx_10_13_x86_64.whl
Size 4.1 MB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
e831c4292502d4c80e6a7c1fe31ee07a94fcf2b8fcb3fd2169c5078f059c7d08
BLAKE2b-256 checksum
How to use checksums
ff0e6c43b4d2dcbf7e5236565019bb0ed8ff86c045816b105174ae950aeb2973
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.16

Security for tfra-nightly 0.6.0.dev20230519093933

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

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