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 0.6.1.dev20240429223730

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 0.6.1.dev20240429223730
File
tfra_nightly-0.6.1.dev20240429223730-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-0.6.1.dev20240429223730-cp311-cp311-macosx_10_13_x86_64.whl CPython 3.11 CPython 3.11 macOS 10.13+ x86-64 Details
tfra_nightly-0.6.1.dev20240429223730-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-0.6.1.dev20240429223730-cp310-cp310-macosx_10_13_x86_64.whl CPython 3.10 CPython 3.10 macOS 10.13+ x86-64 Details
tfra_nightly-0.6.1.dev20240429223730-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-0.6.1.dev20240429223730-cp39-cp39-macosx_10_13_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.13+ x86-64 Details

Total release size: 73.2 MB

Release files / tfra_nightly-0.6.1.dev20240429223730-cp311-cp311-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfra_nightly-0.6.1.dev20240429223730-cp311-cp311-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 6.6 MB
Tags CPython 3.11 Linux glibc 2.12+ x86-64 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
6cc1e0a9b02a0ed0331def01ca4e7a56ea91f27b62ab2e7e034d64ef91f78e8e
BLAKE2b-256 checksum
How to use checksums
50e92657167821b3774c884b7037913850823e6426a88ba304490e12666c8d97
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-0.6.1.dev20240429223730-cp311-cp311-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.6.1.dev20240429223730-cp311-cp311-macosx_10_13_x86_64.whl
Size 17.8 MB
Tags CPython 3.11 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
6dcb0b1718e71d5322ec6353c7c6b45b6cc65bf9785c62e4962b7344dec3a071
BLAKE2b-256 checksum
How to use checksums
51d0ea114f59b57ee826c64519fd6bf9bf60408941904989225055b578f210f1
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-0.6.1.dev20240429223730-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfra_nightly-0.6.1.dev20240429223730-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 6.6 MB
Tags CPython 3.10 Linux glibc 2.12+ x86-64 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
6fd17080b1b9ec77f1c1c12ca83636282d5ef6fbcd25dad29113f88d4fea4393
BLAKE2b-256 checksum
How to use checksums
1ff6e6483f37c8f91e3dd77820eddffe5438a16915286dfa6e73f3e7a1025731
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-0.6.1.dev20240429223730-cp310-cp310-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.6.1.dev20240429223730-cp310-cp310-macosx_10_13_x86_64.whl
Size 17.8 MB
Tags CPython 3.10 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
7172587706245b6ef48838b4959323805f941ee761a5ed8402b3bbefa977d409
BLAKE2b-256 checksum
How to use checksums
81db5090e2d373f37a67040f17aeb2a0253298d4b604fe73202f0dc9f74f6c8a
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-0.6.1.dev20240429223730-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfra_nightly-0.6.1.dev20240429223730-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 6.6 MB
Tags CPython 3.9 Linux glibc 2.12+ x86-64 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
ca4780c3f1a0f429eff83c7800bd5d4c252bc32debc70dddb56ed3416468f698
BLAKE2b-256 checksum
How to use checksums
521bd8ea8f78c1045908d01f78d70348691cdb2e843cbefdc72678488f0368f1
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-0.6.1.dev20240429223730-cp39-cp39-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.6.1.dev20240429223730-cp39-cp39-macosx_10_13_x86_64.whl
Size 17.8 MB
Tags CPython 3.9 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
e706a0b7676242ab37c6d40e4830a3d29f048a7a2d9cb2df4598d5640f6f3abb
BLAKE2b-256 checksum
How to use checksums
1441cd79e9edee48d0ccea64b4b21d6f2409966a18518ee976c9bd00964c53a1
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 0.6.1.dev20240429223730

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