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.dev20220607120114

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.dev20220607120114
File
tfra_nightly-0.4.0.dev20220607120114-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.dev20220607120114-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.dev20220607120114-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.dev20220607120114-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.dev20220607120114-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.dev20220607120114-cp37-cp37m-macosx_10_13_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64 Details

Total release size: 30.0 MB

Release files / tfra_nightly-0.4.0.dev20220607120114-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfra_nightly-0.4.0.dev20220607120114-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 6.2 MB
Tags CPython 3.9 Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
08145cbc2a50df06cfdcd3a80d3814aaf60201c6e233e5ef4771899e48bc1104
BLAKE2b-256 checksum
How to use checksums
f3b38a734de797ad012181fd4dddf77f12fa5f2ef03e865d7c37cb6b3d7697f0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfra_nightly-0.4.0.dev20220607120114-cp39-cp39-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.4.0.dev20220607120114-cp39-cp39-macosx_10_13_x86_64.whl
Size 3.8 MB
Tags CPython 3.9 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
cb4552e6a43544387a961920b55789b484ec75d428d34557eaf5ef3ac7b6c6da
BLAKE2b-256 checksum
How to use checksums
dd74e740b0397c3bc31d96c1930034c46c3527c6162e7ba42c7af285ff0c4c8c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfra_nightly-0.4.0.dev20220607120114-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfra_nightly-0.4.0.dev20220607120114-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 6.2 MB
Tags CPython 3.8 Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
a2e3ade043d82e6e87017d627925f57a6d4193e19343b84b87ed392153e92781
BLAKE2b-256 checksum
How to use checksums
4b5761d4742872b9955b796fe9ef873d190515b1db9ea2d0ca58e6e75fcda3be
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfra_nightly-0.4.0.dev20220607120114-cp38-cp38-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.4.0.dev20220607120114-cp38-cp38-macosx_10_13_x86_64.whl
Size 3.8 MB
Tags CPython 3.8 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
de06f263da68f3f2ea518723ce26aafab36908e446651d815db439359a4e0741
BLAKE2b-256 checksum
How to use checksums
b65b0562fce6ec7ef30010255ff5d0d61b4091d3832422e78bd5721fb244f0f6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfra_nightly-0.4.0.dev20220607120114-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfra_nightly-0.4.0.dev20220607120114-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 6.2 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
e277f4e47bd36273cbf1dfb568e489e6f8ceec19ebef30ade13a6043e7a7060f
BLAKE2b-256 checksum
How to use checksums
0769c7f64056066fdb60bab593c61f0b04c4872cbd6a12c68a482711a7335555
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfra_nightly-0.4.0.dev20220607120114-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfra_nightly-0.4.0.dev20220607120114-cp37-cp37m-macosx_10_13_x86_64.whl
Size 3.8 MB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
c6454c1e5f77a825481ec23b9b86f1d735b8b053e9f9e446f72fca01e82c69d3
BLAKE2b-256 checksum
How to use checksums
6c58311df4e6de68207bb90095cfe4e3f036dbe988dce8188acdcb2f3416d644
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Security for tfra-nightly 0.4.0.dev20220607120114

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