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.dev20211229011945

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.dev20211229011945
File
tfra_nightly-0.3.0.dev20211229011945-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.dev20211229011945-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.dev20211229011945-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.dev20211229011945-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.dev20211229011945-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.dev20211229011945-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.dev20211229011945-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

Total release size: 35.3 MB

Release files / tfra_nightly-0.3.0.dev20211229011945-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfra_nightly-0.3.0.dev20211229011945-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
cbde2869fb669e2ebf45a11fe638d30228dae71ea53410353e65bed328c5f51f
BLAKE2b-256 checksum
How to use checksums
025dc075517ffc2fef47e60bed2279a8a66a8b941b04274cd5578f5d0eb633dc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfra_nightly-0.3.0.dev20211229011945-cp39-cp39-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.3.0.dev20211229011945-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
c73da246180b9216d19c3b1b9ec0fcd6ef851b65fdaa5cbf9ea33452c29f853d
BLAKE2b-256 checksum
How to use checksums
892ea0e60fe5f519401d663fa4d926cfda833708e9ec4df25acc9ada4424aca8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfra_nightly-0.3.0.dev20211229011945-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfra_nightly-0.3.0.dev20211229011945-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
8188dfb8467c2c29ff4ce3c164039d20223f054896f0796c1fa60d5578445542
BLAKE2b-256 checksum
How to use checksums
0790a1ba606484287cbe881f4da5a722f1ff4d2b390ee28719c31740b085d5df
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfra_nightly-0.3.0.dev20211229011945-cp38-cp38-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.3.0.dev20211229011945-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
b81925a7565f789b2acd45d0b19036a1229c37dffe20cd9f963597b05c94475a
BLAKE2b-256 checksum
How to use checksums
5b4fb2239848602d9256f915cea0c021c1a4bea87acc2e42fde3eb2e9237c2dd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfra_nightly-0.3.0.dev20211229011945-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfra_nightly-0.3.0.dev20211229011945-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
4b70b2d36784aeb1de3a4504351688cec2a479d037e7225d0aa39e32b41b6f57
BLAKE2b-256 checksum
How to use checksums
e1d0d365b2d7117b7d2f51860c25c17891fc6951da148c1bc8b7e053152043c7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfra_nightly-0.3.0.dev20211229011945-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.3.0.dev20211229011945-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
e11ccdb61abb4b1004075d1c6accd865b9f1b874646a1ef5c7ee50831ff8286a
BLAKE2b-256 checksum
How to use checksums
28f6346d1ba408c418c0213a5792e90039190c5fc536979216118b95f33d10ab
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfra_nightly-0.3.0.dev20211229011945-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfra_nightly-0.3.0.dev20211229011945-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
b1e58a52247cc99224b8b90c156933c1833f0a3462ef64e006ad4f0fd4269902
BLAKE2b-256 checksum
How to use checksums
173c266056984321fafcb94a1a03ca9bd16e1e179599e7631deb71d35c255162
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Security for tfra-nightly 0.3.0.dev20211229011945

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