Skip to main content

TensorFlow Extended (TFX) is a TensorFlow-based general-purpose machine learning platform implemented at Google

Project description

TFX

Python PyPI

TensorFlow Extended (TFX) is a Google-production-scale machine learning platform based on TensorFlow. It provides a configuration framework to express ML pipelines consisting of TFX components. TFX pipelines can be orchestrated using Apache Airflow and Kubeflow Pipelines. Both the components themselves as well as the integrations with orchestration systems can be extended.

TFX components interact with a ML Metadata backend that keeps a record of component runs, input and output artifacts, and runtime configuration. This metadata backend enables advanced functionality like experiment tracking or warmstarting/resuming ML models from previous runs.

TFX Components

Documentation

Please see the TFX User Guide.

Examples

Compatible versions

The following table describes how the tfx package versions are compatible with its major dependency PyPI packages. This is determined by our testing framework, but other untested combinations may also work.

tfx tensorflow tensorflow-data-validation tensorflow-model-analysis tensorflow-metadata tensorflow-transform ml-metadata apache-beam[gcp] pyarrow
GitHub master nightly (1.x) 0.14.1 0.14.0 0.14.0 0.14.0 0.14.0 2.14.0 0.14.0
0.14.0 1.14.0 0.14.1 0.14.0 0.14.0 0.14.0 0.14.0 2.14.0 0.14.0
0.13.0 1.13.1 0.13.1 0.13.2 0.13.0 0.13.0 0.13.2 2.12.0 n/a
0.12.0 1.12 0.12.0 0.12.1 0.12.1 0.12.0 0.13.2 2.10.0 n/a

Project details


Release history Release notifications | RSS feed

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

tfx-0.14.0-py3-none-any.whl (384.9 kB view details)

Uploaded Python 3

tfx-0.14.0-py2-none-any.whl (383.3 kB view details)

Uploaded Python 2

File details

Details for the file tfx-0.14.0-py3-none-any.whl.

File metadata

  • Download URL: tfx-0.14.0-py3-none-any.whl
  • Upload date:
  • Size: 384.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.8

File hashes

Hashes for tfx-0.14.0-py3-none-any.whl
Algorithm Hash digest
SHA256 250207ed91bd84fba1107b6614440d2d5975c139e757437454f21b482d8f178e
MD5 a88bea675b5a970d76c61ff04a28fc4b
BLAKE2b-256 192b2063d0520cfedf4f2008917f95cd46018f980be49d838d0359e552ca839e

See more details on using hashes here.

Provenance

File details

Details for the file tfx-0.14.0-py2-none-any.whl.

File metadata

  • Download URL: tfx-0.14.0-py2-none-any.whl
  • Upload date:
  • Size: 383.3 kB
  • Tags: Python 2
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/2.7.16

File hashes

Hashes for tfx-0.14.0-py2-none-any.whl
Algorithm Hash digest
SHA256 1d1c906c24fe3a9556b6c18535bb13f4c8d39b3a1d43278237d89e852562c8bb
MD5 f756a3544fd76f2c1687be404ea8ea8c
BLAKE2b-256 6178ba1695dca53d37bff404fb7b2c7fb385bdaaf41fd57968dcc6456af1d6ad

See more details on using hashes here.

Provenance

Supported by

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