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 0.7.0.dev20240716025737

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 0.7.0.dev20240716025737
File
tfra_nightly-0.7.0.dev20240716025737-cp311-cp311-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.12+ x86-64, Linux glibc 2.17+ x86-64 Details
tfra_nightly-0.7.0.dev20240716025737-cp311-cp311-macosx_12_0_arm64.whl CPython 3.11 CPython 3.11 macOS 12.0+ ARM64 Details
tfra_nightly-0.7.0.dev20240716025737-cp311-cp311-macosx_10_13_x86_64.whl CPython 3.11 CPython 3.11 macOS 10.13+ x86-64 Details
tfra_nightly-0.7.0.dev20240716025737-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.12+ x86-64, Linux glibc 2.17+ x86-64 Details
tfra_nightly-0.7.0.dev20240716025737-cp310-cp310-macosx_12_0_arm64.whl CPython 3.10 CPython 3.10 macOS 12.0+ ARM64 Details
tfra_nightly-0.7.0.dev20240716025737-cp310-cp310-macosx_10_13_x86_64.whl CPython 3.10 CPython 3.10 macOS 10.13+ x86-64 Details
tfra_nightly-0.7.0.dev20240716025737-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.12+ x86-64, Linux glibc 2.17+ x86-64 Details
tfra_nightly-0.7.0.dev20240716025737-cp39-cp39-macosx_12_0_arm64.whl CPython 3.9 CPython 3.9 macOS 12.0+ ARM64 Details
tfra_nightly-0.7.0.dev20240716025737-cp39-cp39-macosx_10_13_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.13+ x86-64 Details

Total release size: 46.7 MB

Release files / tfra_nightly-0.7.0.dev20240716025737-cp311-cp311-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfra_nightly-0.7.0.dev20240716025737-cp311-cp311-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 6.9 MB
Tags CPython 3.11 Linux glibc 2.12+ x86-64 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
3a87db0e4a6869e381cc700441b33a85c5f164c59af032ac468ba5e63baeb990
BLAKE2b-256 checksum
How to use checksums
bceee4192780186682da3a28eca05a9547ee201604b62e40bacdb6abb9b1c910
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfra_nightly-0.7.0.dev20240716025737-cp311-cp311-macosx_12_0_arm64.whl

Download URL tfra_nightly-0.7.0.dev20240716025737-cp311-cp311-macosx_12_0_arm64.whl
Size 4.2 MB
Tags CPython 3.11 macOS 12.0+ ARM64
SHA-256 checksum
How to use checksums
2c11d287718fe8338be67135f3ea95f30305396662430beb489a5238e8b7b661
BLAKE2b-256 checksum
How to use checksums
e08fa41553eb8fe8415b4dc4254eff84d88c8123f5593537763b9963909d426f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfra_nightly-0.7.0.dev20240716025737-cp311-cp311-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.7.0.dev20240716025737-cp311-cp311-macosx_10_13_x86_64.whl
Size 4.5 MB
Tags CPython 3.11 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
c67f21d84fee792ff162daf42a9a3be355e86630570982f81459f7f976fe85e2
BLAKE2b-256 checksum
How to use checksums
541bd8d353fd56c1d8159c24f2f09142859aaae63260a3e942ef0900164e41de
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfra_nightly-0.7.0.dev20240716025737-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfra_nightly-0.7.0.dev20240716025737-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 6.9 MB
Tags CPython 3.10 Linux glibc 2.12+ x86-64 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
c5ebe2eb8d0a701c32336d3190f7c34d13cd55ce82dfa96947891e34411da984
BLAKE2b-256 checksum
How to use checksums
b5131adc628bd01ab39c2c4893105e50d5abf891f7190dee899885e629021ab6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfra_nightly-0.7.0.dev20240716025737-cp310-cp310-macosx_12_0_arm64.whl

Download URL tfra_nightly-0.7.0.dev20240716025737-cp310-cp310-macosx_12_0_arm64.whl
Size 4.2 MB
Tags CPython 3.10 macOS 12.0+ ARM64
SHA-256 checksum
How to use checksums
ad850bc90d4764ce9b25b8b9288605a695985efcce3fbf10b7586dad27bbc282
BLAKE2b-256 checksum
How to use checksums
dda67c96bd5d0c9cbfe217cdbfd648ab5df640b1d911729481fab0fdde7118ff
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfra_nightly-0.7.0.dev20240716025737-cp310-cp310-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.7.0.dev20240716025737-cp310-cp310-macosx_10_13_x86_64.whl
Size 4.5 MB
Tags CPython 3.10 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
aca142b920abde598e61d939354ab50f18d0c87ae649ba8bec593dae5e21ee1c
BLAKE2b-256 checksum
How to use checksums
37a9d7f1b23cabc78c0782fd9a04da59e4e83fbc4238d899092b114c8f134275
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfra_nightly-0.7.0.dev20240716025737-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfra_nightly-0.7.0.dev20240716025737-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 6.9 MB
Tags CPython 3.9 Linux glibc 2.12+ x86-64 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
d8e2a4b78b92d6c735565256009df902b98db7353f0eae79ef085e73f278bdd3
BLAKE2b-256 checksum
How to use checksums
4f35b4fa6addbb3f69f4dd8c3e2d1e028e2fd68616772c79d8ec8022409b4d14
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfra_nightly-0.7.0.dev20240716025737-cp39-cp39-macosx_12_0_arm64.whl

Download URL tfra_nightly-0.7.0.dev20240716025737-cp39-cp39-macosx_12_0_arm64.whl
Size 4.2 MB
Tags CPython 3.9 macOS 12.0+ ARM64
SHA-256 checksum
How to use checksums
e7d40c91680a3584371a59363474a44a8fd18920d6c40ecf95db32351be741bc
BLAKE2b-256 checksum
How to use checksums
578fa3d3469ab2470fe7654410d10e053d173402add8145b007dbdc01b38298c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfra_nightly-0.7.0.dev20240716025737-cp39-cp39-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.7.0.dev20240716025737-cp39-cp39-macosx_10_13_x86_64.whl
Size 4.5 MB
Tags CPython 3.9 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
b7e5f8699c8bde071bb5bbc8f801e2a60f173f3a5ef688757a23d25d563316f9
BLAKE2b-256 checksum
How to use checksums
bdbcb9963439bf83b622dabcdef6dc38eddc7c623a310480980bb30371b0bc73
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Security for tfra-nightly 0.7.0.dev20240716025737

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