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2 changes: 2 additions & 0 deletions components/google-cloud/RELEASE.md
Original file line number Diff line number Diff line change
@@ -1,5 +1,7 @@
## Upcoming release

* Remove deprecated Wide and Deep Tabular Workflow pipeline.

## Release 2.22.0

* Fix for dataproc batch components pipeline failure.
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Original file line number Diff line number Diff line change
Expand Up @@ -24,10 +24,6 @@
from google_cloud_pipeline_components.preview.automl.tabular.tabnet_trainer import tabnet_trainer as TabNetTrainerOp
from google_cloud_pipeline_components.preview.automl.tabular.utils import get_tabnet_hyperparameter_tuning_job_pipeline_and_parameters
from google_cloud_pipeline_components.preview.automl.tabular.utils import get_tabnet_trainer_pipeline_and_parameters
from google_cloud_pipeline_components.preview.automl.tabular.utils import get_wide_and_deep_hyperparameter_tuning_job_pipeline_and_parameters
from google_cloud_pipeline_components.preview.automl.tabular.utils import get_wide_and_deep_trainer_pipeline_and_parameters
from google_cloud_pipeline_components.preview.automl.tabular.wide_and_deep_hyperparameter_tuning_job import wide_and_deep_hyperparameter_tuning_job as WideAndDeepHyperparameterTuningJobOp
from google_cloud_pipeline_components.preview.automl.tabular.wide_and_deep_trainer import wide_and_deep_trainer as WideAndDeepTrainerOp
from kfp import components

__all__ = [
Expand All @@ -37,24 +33,12 @@
'FeatureTransformEngineOp',
'TabNetHyperparameterTuningJobOp',
'TabNetTrainerOp',
'WideAndDeepHyperparameterTuningJobOp',
'WideAndDeepTrainerOp',
'get_tabnet_hyperparameter_tuning_job_pipeline_and_parameters',
'get_tabnet_trainer_pipeline_and_parameters',
'get_wide_and_deep_hyperparameter_tuning_job_pipeline_and_parameters',
'get_wide_and_deep_trainer_pipeline_and_parameters',
]

tabnet_trainer_pipeline = components.load_component_from_file(
# Note, please don't name it as `component.yaml` which will conflict with
# the generated file.
os.path.join(os.path.dirname(__file__), 'tabnet_trainer_pipeline.yaml')
)

wide_and_deep_trainer_pipeline = components.load_component_from_file(
# Note, please don't name it as `component.yaml` which will conflict with
# the generated file.
os.path.join(
os.path.dirname(__file__), 'wide_and_deep_trainer_pipeline.yaml'
)
)

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