Package: waseda-tfx
TFXTensorFlow 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 usingApache AirflowandKubeflow Pipelines. Both the components themselves
as well as the integrations with orchestration systems can be extended.TFX components interact with aML Metadatabackend 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.DocumentationUser DocumentationPlease see theTFX User Guide.Development ReferencesRoadmapThe TFXRoadmap,
which is updated quarterly.Release DetailsFor detailed previous and upcoming changes, pleasecheck hereRequests For CommentTFX is an open-source project and we strongly encourage active participation
by the ML community in helping to shape TFX to meet or exceed their needs. An
important component of that effort is the RFC process.  Please see the listing
ofcurrent and past TFX RFCs. Please see theTensorFlow Request for Comments (TF-RFC)process page for information on how community members can contribute.ExamplesChicago Taxi ExampleCompatible versionsThe following table describes how thetfxpackage versions are compatible with
its major dependency PyPI packages. This is determined by our testing framework,
but otheruntestedcombinations may also work.tfxapache-beam[gcp]ml-metadatapyarrowtensorflowtensorflow-data-validationtensorflow-metadatatensorflow-model-analysistensorflow-serving-apitensorflow-transformtfx-bslGitHub master2.28.00.28.02.0.0nightly (1.x/2.x)0.28.00.28.00.28.02.4.00.28.00.28.10.28.02.28.00.28.02.0.01.15.0 / 2.4.00.28.00.28.00.28.02.4.00.28.00.28.10.27.02.27.00.27.02.0.01.15.0 / 2.4.00.27.00.27.00.27.02.4.00.27.00.27.00.26.02.25.00.26.00.17.01.15.0 / 2.3.00.26.00.26.00.26.02.3.00.26.00.26.00.25.02.25.00.24.00.17.01.15.0 / 2.3.00.25.00.25.00.25.02.3.00.25.00.25.00.24.12.24.00.24.00.17.01.15.0 / 2.3.00.24.10.24.00.24.32.3.00.24.10.24.10.24.02.24.00.24.00.17.01.15.0 / 2.3.00.24.10.24.00.24.32.3.00.24.10.24.10.23.12.24.00.23.00.17.01.15.0 / 2.3.00.23.10.23.00.23.02.3.00.23.00.23.00.23.02.23.00.23.00.17.01.15.0 / 2.3.00.23.00.23.00.23.02.3.00.23.00.23.00.22.22.21.00.22.10.16.01.15.0 / 2.2.00.22.20.22.20.22.22.2.00.22.00.22.10.22.12.21.00.22.10.16.01.15.0 / 2.2.00.22.20.22.20.22.22.2.00.22.00.22.10.22.02.21.00.22.00.16.01.15.0 / 2.2.00.22.00.22.00.22.12.2.00.22.00.22.00.21.52.17.00.21.20.15.01.15.0 / 2.1.00.21.50.21.10.21.52.1.00.21.20.21.40.21.42.17.00.21.20.15.01.15.0 / 2.1.00.21.50.21.10.21.52.1.00.21.20.21.40.21.32.17.00.21.20.15.01.15.0 / 2.1.00.21.50.21.10.21.52.1.00.21.20.21.40.21.22.17.00.21.20.15.01.15.0 / 2.1.00.21.50.21.10.21.52.1.00.21.20.21.40.21.12.17.00.21.20.15.01.15.0 / 2.1.00.21.40.21.10.21.42.1.00.21.20.21.30.21.02.17.00.21.00.15.01.15.0 / 2.1.00.21.00.21.00.21.12.1.00.21.00.21.00.15.02.16.00.15.00.15.01.15.00.15.00.15.00.15.21.15.00.15.00.15.10.14.02.14.00.14.00.14.01.14.00.14.10.14.00.14.01.14.00.14.0n/a0.13.02.12.00.13.2n/a1.13.10.13.10.13.00.13.21.13.00.13.0n/a0.12.02.10.00.13.2n/a1.12.00.12.00.12.10.12.11.12.00.12.0n/a