Skip to main content

The custom op to export and serve YDF models in TensorFlow.

Project description

YDF for TensorFlow

This package contains a custom op for TensorFlow to perform inference on Yggdrasil Decision Forests (YDF) models.

  • This package needs to be installed so that the export from YDF to TensorFlow works.
  • This package needs to be installed to read YDF models with TensorFlow.
  • This package replaces the inference op formerly provided by TensorFlow Decision Forests (TF-DF).

See the YDF documentation for more information.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

ydf_tf-2.18.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

ydf_tf-2.18.0-cp312-cp312-macosx_26_0_arm64.whl (1.1 MB view details)

Uploaded CPython 3.12macOS 26.0+ ARM64

ydf_tf-2.18.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

ydf_tf-2.18.0-cp311-cp311-macosx_26_0_arm64.whl (1.1 MB view details)

Uploaded CPython 3.11macOS 26.0+ ARM64

ydf_tf-2.18.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

ydf_tf-2.18.0-cp310-cp310-macosx_26_0_arm64.whl (1.1 MB view details)

Uploaded CPython 3.10macOS 26.0+ ARM64

ydf_tf-2.18.0-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

ydf_tf-2.18.0-cp39-cp39-macosx_26_0_arm64.whl (1.1 MB view details)

Uploaded CPython 3.9macOS 26.0+ ARM64

File details

Details for the file ydf_tf-2.18.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for ydf_tf-2.18.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 e7f9f078d2d6bc90fac5b57c61cf93a8f6fe51604674e0d70684897ec36fefec
MD5 558ab15490e83b00be8b62de3180ba59
BLAKE2b-256 beef13298bc448f439855df9a36a1bdf3d93bc7172208217764e8bf70a2e5bd6

See more details on using hashes here.

File details

Details for the file ydf_tf-2.18.0-cp312-cp312-macosx_26_0_arm64.whl.

File metadata

File hashes

Hashes for ydf_tf-2.18.0-cp312-cp312-macosx_26_0_arm64.whl
Algorithm Hash digest
SHA256 051a11f93049aa25f8dd0bc2bc700f1b82bcfc74adf85b6c8b6b7acb4c4e8dd9
MD5 138bbf21df501d7c6392e510932f1ff3
BLAKE2b-256 72561e8a375b965efc92eab5be8529e8539e84fb183c702d030e0ae554cb67f1

See more details on using hashes here.

File details

Details for the file ydf_tf-2.18.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for ydf_tf-2.18.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 2ffce853b4b6210c8f49f1a00c7dadd6ca694f418f6e97a2da1fc85b294bab44
MD5 14cc3cc92f6dd805a4688b43adf8c423
BLAKE2b-256 af519b9facea1f9dca1787f9c9aaa09bbb761570192d13fa23ab3479525386c2

See more details on using hashes here.

File details

Details for the file ydf_tf-2.18.0-cp311-cp311-macosx_26_0_arm64.whl.

File metadata

File hashes

Hashes for ydf_tf-2.18.0-cp311-cp311-macosx_26_0_arm64.whl
Algorithm Hash digest
SHA256 20642ef87c38de7e75449c07c5ffc50f14305abc7433fc6442b4955919ca021b
MD5 a977b362762eae04cc380b420e49dfe0
BLAKE2b-256 a128c0ca58ef0004fba2789b3c0f621bc2ce481cc07c5b69438066860a6e9299

See more details on using hashes here.

File details

Details for the file ydf_tf-2.18.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for ydf_tf-2.18.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 373436c5dc5c2a004169bedf5ff2881b8e7144c7c587ee2628886f350ca3142b
MD5 f9f4434914c653cf904490203abfe499
BLAKE2b-256 822eaccf2bbba7ac81550c550b8aa847f361ba3fc5ff90e151ad2d9cc94b3650

See more details on using hashes here.

File details

Details for the file ydf_tf-2.18.0-cp310-cp310-macosx_26_0_arm64.whl.

File metadata

File hashes

Hashes for ydf_tf-2.18.0-cp310-cp310-macosx_26_0_arm64.whl
Algorithm Hash digest
SHA256 9686f5b98c9c89cb4f76d94be1e021c3d43a60fa64bdf9a94724b75cbeae3292
MD5 3c3b1187865bc49f1751376a8647a1e8
BLAKE2b-256 b81a1883ff3fe4dfc3208e1dd04e8ccc81df4afdc59978ca90de88c2b155a3ad

See more details on using hashes here.

File details

Details for the file ydf_tf-2.18.0-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for ydf_tf-2.18.0-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 0eab0b30d5fd015f02bc3669be5cd21ebb9ea8b6c61c1268cddd7dc5f40f5585
MD5 9098bf0e1935fb96c77036cdfe8983c6
BLAKE2b-256 c28435aa8f6bc5d4216882069d200064dd12a88ef91633f732a23d931b47d746

See more details on using hashes here.

File details

Details for the file ydf_tf-2.18.0-cp39-cp39-macosx_26_0_arm64.whl.

File metadata

File hashes

Hashes for ydf_tf-2.18.0-cp39-cp39-macosx_26_0_arm64.whl
Algorithm Hash digest
SHA256 82b9f69adcc1fdc87bda944f9297e7b85dc526406f73961113b6c75f7c0aa262
MD5 f9a3af68355d63da1de553f4d5bda6d8
BLAKE2b-256 8ad6dc525616128f39fe4e89384cc036fa6584742edae06410d78a52ede3fac0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page