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 0.3.0.dev20211111051501

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 0.3.0.dev20211111051501
File
tfra_nightly-0.3.0.dev20211111051501-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-0.3.0.dev20211111051501-cp39-cp39-macosx_10_13_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.13+ x86-64 Details
tfra_nightly-0.3.0.dev20211111051501-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-0.3.0.dev20211111051501-cp38-cp38-macosx_10_13_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.13+ x86-64 Details
tfra_nightly-0.3.0.dev20211111051501-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-0.3.0.dev20211111051501-cp37-cp37m-macosx_10_13_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64 Details
tfra_nightly-0.3.0.dev20211111051501-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64 Details
tfra_nightly-0.3.0.dev20211111051501-cp36-cp36m-macosx_10_13_x86_64.whl CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64 Details

Total release size: 38.7 MB

Release files / tfra_nightly-0.3.0.dev20211111051501-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfra_nightly-0.3.0.dev20211111051501-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 6.0 MB
Tags CPython 3.9 Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
d970ec36b7bd138294c7fe44edadab5eef73cb57a8550c8f4676daaa6b734e58
BLAKE2b-256 checksum
How to use checksums
01b3f213b96e6e87b5c1e2657324ed680bc2b3e6f66e2f327f63ac11a4823c66
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfra_nightly-0.3.0.dev20211111051501-cp39-cp39-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.3.0.dev20211111051501-cp39-cp39-macosx_10_13_x86_64.whl
Size 3.7 MB
Tags CPython 3.9 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
75366957e7429f2ba0f563b0c5bd3b67576c7da7bc174749976be1b0ec4714b8
BLAKE2b-256 checksum
How to use checksums
9e7ec7903e1071a608ce2561c458cb6d05a8b350f30f2e60f053919f3bf8dcc0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfra_nightly-0.3.0.dev20211111051501-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfra_nightly-0.3.0.dev20211111051501-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 6.0 MB
Tags CPython 3.8 Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
89bbbdee9c4fb4f20b53fb9833d8a4aea1cf2223b1e4c878421f27b992fb29d2
BLAKE2b-256 checksum
How to use checksums
ddbcf4646fd9d5fa8d5bae6b61d1eee8c0c8ef2c8819cb48831904441f77c0d5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfra_nightly-0.3.0.dev20211111051501-cp38-cp38-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.3.0.dev20211111051501-cp38-cp38-macosx_10_13_x86_64.whl
Size 3.7 MB
Tags CPython 3.8 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
bbf497bfea6e46e266afbed17d5944a7f0949177ae13d2a211659c435d0360f9
BLAKE2b-256 checksum
How to use checksums
1e9a86e9f5b727495f951b292b438ababc3639d72574f3c232c369d1fad4cf3f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfra_nightly-0.3.0.dev20211111051501-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfra_nightly-0.3.0.dev20211111051501-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 6.0 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
ff429a07ed2579f854cfeddef6e6ff6085ba986b30d9d8d802e6d35ef86bbb21
BLAKE2b-256 checksum
How to use checksums
bbcb80b5aeefa2982bd4c16d31ede1d75e2e38d6897e3b68731c4b1a1d7895df
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfra_nightly-0.3.0.dev20211111051501-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.3.0.dev20211111051501-cp37-cp37m-macosx_10_13_x86_64.whl
Size 3.7 MB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
4575e8bfff3551500b3f3ba2c2d19c995ceba428eeec83a6cf29ea2290ed23f7
BLAKE2b-256 checksum
How to use checksums
cee5c872c25a9b8091963cc8243059c817a2888088fa71a507463ef588e8b770
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfra_nightly-0.3.0.dev20211111051501-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfra_nightly-0.3.0.dev20211111051501-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 6.0 MB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
6dca76647a4c13cc24a9f3bebe5a4f947ce12f2a3a181555a8e982001e368ff0
BLAKE2b-256 checksum
How to use checksums
9a86c895054781e6db9389a2b27a1cd523aa574bebf59a91446b22226a4d5756
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfra_nightly-0.3.0.dev20211111051501-cp36-cp36m-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.3.0.dev20211111051501-cp36-cp36m-macosx_10_13_x86_64.whl
Size 3.7 MB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
b7f913d9c87baf73b3e9c43d3eb5f966c5d068002c940d8d587e312aead72021
BLAKE2b-256 checksum
How to use checksums
b46ec4f26c2af857891cf92bbc3bfa12195fed1d83f1ab12056e23cd21f24d0d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Security for tfra-nightly 0.3.0.dev20211111051501

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