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.dev20240624233544

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.dev20240624233544
File
tfra_nightly-0.7.0.dev20240624233544-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.dev20240624233544-cp311-cp311-macosx_12_0_arm64.whl CPython 3.11 CPython 3.11 macOS 12.0+ ARM64 Details
tfra_nightly-0.7.0.dev20240624233544-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.dev20240624233544-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 2.17+ x86-64, Linux glibc 2.12+ x86-64 Details
tfra_nightly-0.7.0.dev20240624233544-cp310-cp310-macosx_12_0_arm64.whl CPython 3.10 CPython 3.10 macOS 12.0+ ARM64 Details
tfra_nightly-0.7.0.dev20240624233544-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.dev20240624233544-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.dev20240624233544-cp39-cp39-macosx_12_0_arm64.whl CPython 3.9 CPython 3.9 macOS 12.0+ ARM64 Details
tfra_nightly-0.7.0.dev20240624233544-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.dev20240624233544-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.dev20240624233544-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
f9e1a5eb4d2cc4fb211a6da05e33e02a32d78219d8ad98d89a6643e1bf8b60da
BLAKE2b-256 checksum
How to use checksums
e7d025e123fcac51acf22c7c77380b9f18dc7ad993e8b1472d00c50c22aa6c42
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.dev20240624233544-cp311-cp311-macosx_12_0_arm64.whl

Download URL tfra_nightly-0.7.0.dev20240624233544-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
62a0f0447d0b070f99f5bfb0d64ac9c39962c9a46d4658a65837c5ea185879f0
BLAKE2b-256 checksum
How to use checksums
827998bfd390581b7dd442093be0d0b6c70d3644d85fb6b4e78d5aff8d941dec
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.dev20240624233544-cp311-cp311-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.7.0.dev20240624233544-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
f729a82daac01c12a3f6bcd3e3d261b95aeb4c43deca018ed6f5690fa7e61434
BLAKE2b-256 checksum
How to use checksums
c80690c249eccaf20fd80e3a3207555245800fd5638e5dade87b3143929d5580
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.dev20240624233544-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.dev20240624233544-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
21fb6040ac0c376b8a686a1c49cc48b201c3965dc55aea33d355aa0a5a662103
BLAKE2b-256 checksum
How to use checksums
4318a4176b8d25cb1eac110e501a1a45faf8fe403d08cf34bad99453ef8f0440
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.dev20240624233544-cp310-cp310-macosx_12_0_arm64.whl

Download URL tfra_nightly-0.7.0.dev20240624233544-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
f4137a97166a71538f3ce857950a775d4a27bb7ae50ab8cdae8558bd39c7603b
BLAKE2b-256 checksum
How to use checksums
38ae1514adff489ba6a653c4b7c680abb42b7a38fe9ff66ee1e185dbdcc9ba0b
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.dev20240624233544-cp310-cp310-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.7.0.dev20240624233544-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
6f39ea9a24fda636f64f6dd70312cea17a2054708e0313c1da1561a2d50b06f1
BLAKE2b-256 checksum
How to use checksums
c6c593ef66f6d06ffda83ed7fe4e6c73a9a24bc60935f7a50f7bd8c151b7a62e
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.dev20240624233544-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.dev20240624233544-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
2b5efb097af3464df0cd1b43dcd4a2b3e1b6a3f510ff8fc8ddd96fd5f4ce5185
BLAKE2b-256 checksum
How to use checksums
f2c955950589838174be621bb995e3422b3158a7cd8544d78240e078ef2a0b46
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.dev20240624233544-cp39-cp39-macosx_12_0_arm64.whl

Download URL tfra_nightly-0.7.0.dev20240624233544-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
34539458453993b15cf9b8db0ba5f9f473163e5236ed1d1e6328aaadd29e2764
BLAKE2b-256 checksum
How to use checksums
1b089c5e6c58058936b651e68fae44e9d8136f1fce43e0322cb9cbc21b1a2c89
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.dev20240624233544-cp39-cp39-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.7.0.dev20240624233544-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
eac7a761c3f1789e2ae62d4d81fa9c9f30ef9f78487ab4874f12c5f94cb1c1cc
BLAKE2b-256 checksum
How to use checksums
01d1d391b6980680ce1e878c4f9b757986d0c0695e3758f85e6a2e1aa93ac9aa
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.dev20240624233544

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