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 0.4.0.dev20220920042003

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 0.4.0.dev20220920042003
File
tfra_nightly-0.4.0.dev20220920042003-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-0.4.0.dev20220920042003-cp39-cp39-macosx_10_13_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.13+ x86-64 Details
tfra_nightly-0.4.0.dev20220920042003-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-0.4.0.dev20220920042003-cp38-cp38-macosx_10_13_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.13+ x86-64 Details
tfra_nightly-0.4.0.dev20220920042003-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-0.4.0.dev20220920042003-cp37-cp37m-macosx_10_13_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64 Details

Total release size: 34.6 MB

Release files / tfra_nightly-0.4.0.dev20220920042003-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfra_nightly-0.4.0.dev20220920042003-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 7.1 MB
Tags CPython 3.9 Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
1b7081a77c8b3acf0deaef8fc042b147bb830efc3db49cdab63b72125513b4dd
BLAKE2b-256 checksum
How to use checksums
291823918594344b2a996568bb9524f7f6e8e056dd8339d301bc4889e27a9ea1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.14

Release files / tfra_nightly-0.4.0.dev20220920042003-cp39-cp39-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.4.0.dev20220920042003-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
70284139f4795b57055719b5d375664c407686826a5080e01ec9753b7f86c902
BLAKE2b-256 checksum
How to use checksums
f6d119c4f2637f366bfe1e3200f042ce71d64fcd499a3e261cd05d7ca7a3572f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.14

Release files / tfra_nightly-0.4.0.dev20220920042003-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfra_nightly-0.4.0.dev20220920042003-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 7.1 MB
Tags CPython 3.8 Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
b05637cc8e731fb259018213a005f42065496c4d3de98274f31e6ab782a22b91
BLAKE2b-256 checksum
How to use checksums
00b29ec0d63dd12b1ea3220fe93e034e834fb69ade4d9c24524baa797e64612b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.14

Release files / tfra_nightly-0.4.0.dev20220920042003-cp38-cp38-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.4.0.dev20220920042003-cp38-cp38-macosx_10_13_x86_64.whl
Size 4.5 MB
Tags CPython 3.8 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
3c06ccb6b13dd0596f9d17ef47a2a5114f1a4e4a80d72eb5cf34f7b763d385e7
BLAKE2b-256 checksum
How to use checksums
9a1cdf3992428b6cd0428c9911e0cafcbc96a3471141e09a861b7509aa9b7fb9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.14

Release files / tfra_nightly-0.4.0.dev20220920042003-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfra_nightly-0.4.0.dev20220920042003-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 7.1 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
01b56f8a249c3f05c48384102c5d4e1f3b8a55efa252975ae2ad2be6e7a6ed22
BLAKE2b-256 checksum
How to use checksums
e00776b27f0b4094ae83136ce89060dbd857b041c47c912b097dfa9a622c3ce7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.14

Release files / tfra_nightly-0.4.0.dev20220920042003-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.4.0.dev20220920042003-cp37-cp37m-macosx_10_13_x86_64.whl
Size 4.5 MB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
14a15c1f6bfc9735c804604cf65a63d6f7024b7d9f7ef4cae566ff5c49886ba7
BLAKE2b-256 checksum
How to use checksums
47d53f2ec75105120bfaea94e83f00751e4be7ecfc5d52a1a95dee3f4fe5fae0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.14

Security for tfra-nightly 0.4.0.dev20220920042003

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