8000 feat: publish updated protos for cloud/automl/v1 service (#318) · googleapis/google-cloud-python@2c95387 · GitHub
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feat: publish updated protos for cloud/automl/v1 service (#318)
* fix: proto field markdown comment for the display_name field in annotation_payload.proto to point the correct public v1/ version fix: Add back java_multiple_files option to the text_sentiment.proto to match with the previous published version of text_sentiment proto PiperOrigin-RevId: 421849336 Source-Link: googleapis/googleapis@5c24921 Source-Link: googleapis/googleapis-gen@0195e8e Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiMDE5NWU4ZTQ1ZjQxMjI1ZGRlMTViM2EyNGZlODllZDI3Njg2Y2I2NCJ9 * 🦉 Updates from OwlBot See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com> Co-authored-by: Anthonios Partheniou <partheniou@google.com>
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‎packages/google-cloud-automl/google/cloud/automl_v1/services/auto_ml/async_client.py

Lines changed: 1 addition & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -73,7 +73,7 @@ class AutoMlAsyncClient:
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Currently the only supported ``location_id`` is "us-central1".
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On any input that is documented to expect a string parameter in
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snake_case or kebab-case, either of those cases is accepted.
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snake_case or dash-case, either of those cases is accepted.
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"""
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_client: AutoMlClient
@@ -1411,7 +1411,6 @@ async def deploy_model(
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r"""Deploys a model. If a model is already deployed, deploying it
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with the same parameters has no effect. Deploying with different
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parametrs (as e.g. changing
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[node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number])
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will reset the deployment state without pausing the model's
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availability.

‎packages/google-cloud-automl/google/cloud/automl_v1/services/auto_ml/client.py

Lines changed: 1 addition & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -107,7 +107,7 @@ class AutoMlClient(metaclass=AutoMlClientMeta):
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Currently the only supported ``location_id`` is "us-central1".
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On any input that is documented to expect a string parameter in
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snake_case or kebab-case, either of those cases is accepted.
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snake_case or dash-case, either of those cases is accepted.
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"""
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@staticmethod
@@ -1593,7 +1593,6 @@ def deploy_model(
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r"""Deploys a model. If a model is already deployed, deploying it
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with the same parameters has no effect. Deploying with different
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parametrs (as e.g. changing
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[node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number])
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will reset the deployment state without pausing the model's
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availability.

‎packages/google-cloud-automl/google/cloud/automl_v1/services/auto_ml/transports/grpc.py

Lines changed: 1 addition & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -53,7 +53,7 @@ class AutoMlGrpcTransport(AutoMlTransport):
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Currently the only supported ``location_id`` is "us-central1".
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On any input that is documented to expect a string parameter in
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snake_case or kebab-case, either of those cases is accepted.
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snake_case or dash-case, either of those cases is accepted.
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This class defines the same methods as the primary client, so the
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primary client can load the underlying transport implementation
@@ -626,7 +626,6 @@ def deploy_model(
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Deploys a model. If a model is already deployed, deploying it
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with the same parameters has no effect. Deploying with different
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parametrs (as e.g. changing
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[node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number])
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will reset the deployment state without pausing the model's
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availability.

‎packages/google-cloud-automl/google/cloud/automl_v1/services/auto_ml/transports/grpc_asyncio.py

Lines changed: 1 addition & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -54,7 +54,7 @@ class AutoMlGrpcAsyncIOTransport(AutoMlTransport):
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Currently the only supported ``location_id`` is "us-central1".
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On any input that is documented to expect a string parameter in
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snake_case or kebab-case, either of those cases is accepted.
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snake_case or dash-case, either of those cases is accepted.
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This class defines the same methods as the primary client, so the
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primary client can load the underlying transport implementation
@@ -638,7 +638,6 @@ def deploy_model(
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Deploys a model. If a model is already deployed, deploying it
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with the same parameters has no effect. Deploying with different
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parametrs (as e.g. changing
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[node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number])
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will reset the deployment state without pausing the model's
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availability.

‎packages/google-cloud-automl/google/cloud/automl_v1/services/prediction_service/async_client.py

Lines changed: 1 addition & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -47,7 +47,7 @@ class PredictionServiceAsyncClient:
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"""AutoML Prediction API.
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On any input that is documented to expect a string parameter in
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snake_case or kebab-case, either of those cases is accepted.
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snake_case or dash-case, either of those cases is accepted.
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"""
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_client: PredictionServiceClient
@@ -270,7 +270,6 @@ async def predict(
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AutoML Tables
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``feature_importance`` : (boolean) Whether
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[feature_importance][google.cloud.automl.v1.TablesModelColumnInfo.feature_importance]
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is populated in the returned list of
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[TablesAnnotation][google.cloud.automl.v1.TablesAnnotation]

‎packages/google-cloud-automl/google/cloud/automl_v1/services/prediction_service/client.py

Lines changed: 1 addition & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -85,7 +85,7 @@ class PredictionServiceClient(metaclass=PredictionServiceClientMeta):
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"""AutoML Prediction API.
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On any input that is documented to expect a string parameter in
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snake_case or kebab-case, either of those cases is accepted.
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snake_case or dash-case, either of those cases is accepted.
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"""
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@staticmethod
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AutoML Tables
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``feature_importance`` : (boolean) Whether
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[feature_importance][google.cloud.automl.v1.TablesModelColumnInfo.feature_importance]
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is populated in the returned list of
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[TablesAnnotation][google.cloud.automl.v1.TablesAnnotation]

‎packages/google-cloud-automl/google/cloud/automl_v1/services/prediction_service/transports/grpc.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -36,7 +36,7 @@ class PredictionServiceGrpcTransport(PredictionServiceTransport):
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AutoML Prediction API.
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On any input that is documented to expect a string parameter in
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snake_case or kebab-case, either of those cases is accepted.
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snake_case or dash-case, either of those cases is accepted.
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This class defines the same methods as the primary client, so the
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primary client can load the underlying transport implementation

‎packages/google-cloud-automl/google/cloud/automl_v1/services/prediction_service/transports/grpc_asyncio.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -37,7 +37,7 @@ class PredictionServiceGrpcAsyncIOTransport(PredictionServiceTransport):
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AutoML Prediction API.
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On any input that is documented to expect a string parameter in
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snake_case or kebab-case, either of those cases is accepted.
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snake_case or dash-case, either of those cases is accepted.
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This class defines the same methods as the primary client, so the
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primary client can load the underlying transport implementation

‎packages/google-cloud-automl/google/cloud/automl_v1/types/annotation_spec.py

Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -27,7 +27,6 @@ class AnnotationSpec(proto.Message):
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Attributes:
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name (str):
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Output only. Resource name of the annotation spec. Form:
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'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}'
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display_name (str):
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Required. The name of the annotation spec to show in the

‎packages/google-cloud-automl/google/cloud/automl_v1/types/classification.py

Lines changed: 0 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -169,15 +169,13 @@ class ConfusionMatrix(proto.Message):
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annotation_spec_id (Sequence[str]):
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Output only. IDs of the annotation specs used in the
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confusion matrix. For Tables CLASSIFICATION
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[prediction_type][google.cloud.automl.v1p1beta.TablesModelMetadata.prediction_type]
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only list of [annotation_spec_display_name-s][] is
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populated.
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display_name (Sequence[str]):
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Output only. Display name of the annotation specs used in
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the confusion matrix, as they were at the moment of the
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evaluation. For Tables CLASSIFICATION
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[prediction_type-s][google.cloud.automl.v1p1beta.TablesModelMetadata.prediction_type],
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distinct values of the target column at the moment of the
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model evaluation are populated here.

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