Version 1.2.0
August 17, 2021 ยท View on GitHub
Major Features and Improvements
- Added RuntimeParam support for Trainer's custom_config.
- TFX Trainer and Pusher now support Vertex, which can be enabled with
ENABLE_VERTEX_KEYkey incustom_config.
Breaking Changes
For Pipeline Authors
- N/A
For Component Authors
- N/A
Deprecations
- N/A
Bug Fixes and Other Changes
- Fixed the issue that kfp_pod_name is not generated as an execution property for Kubeflow Pipelines.
- Fixed issue when InputValuePlaceholder is used as component parameter in container based component.
- Depends on
kubernetes>=10.0.1,<13 CsvToExamplenow supports multi-line strings.tfx.benchmarkspackage was removed from the Python TFX wheel. This package is used only for benchmarking and not useful for end users.- Fixed the issue for fairness_indicator_thresholds support of Evaluator.
- Depends on
apache-beam[gcp]>=2.31,<3. - Depends on
kfp-pipeline-spec>=0.1.8,<0.2. - Depends on
ml-metadata>=1.2.0,<1.3.0. - Depends on
struct2tensor>=0.33.0,<0.34.0. - Depends on
tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,<2.6. - Depends on
tensorflow-data-validation>=1.2.0,<1.3.0. - Depends on
tensorflow-model-analysis>=0.33.0,<0.34.0. - Depends on
tensorflow-transform>=1.2.0,<1.3.0. - Depends on
tfx-bsl>=1.2.0,<1.3.0.
Documentation Updates
- N/A