model.rb in google-cloud-automl-0.2.0

- old
+ new
@@ -45,31 +45,27 @@
         # @!attribute [rw] text_sentiment_model_metadata
         #   @return [Google::Cloud::AutoML::V1beta1::TextSentimentModelMetadata]
         #     Metadata for text sentiment models.
         # @!attribute [rw] name
         #   @return [String]
-        #     Output only.
-        #     Resource name of the model.
+        #     Output only. Resource name of the model.
         #     Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
         # @!attribute [rw] display_name
         #   @return [String]
         #     Required. The name of the model to show in the interface. The name can be
         #     up to 32 characters long and can consist only of ASCII Latin letters A-Z
         #     and a-z, underscores
         #     (_), and ASCII digits 0-9. It must start with a letter.
         # @!attribute [rw] dataset_id
         #   @return [String]
-        #     Required.
-        #     The resource ID of the dataset used to create the model. The dataset must
+        #     Required. The resource ID of the dataset used to create the model. The dataset must
         #     come from the same ancestor project and location.
         # @!attribute [rw] create_time
         #   @return [Google::Protobuf::Timestamp]
-        #     Output only.
-        #     Timestamp when the model training finished  and can be used for prediction.
+        #     Output only. Timestamp when the model training finished  and can be used for prediction.
         # @!attribute [rw] update_time
         #   @return [Google::Protobuf::Timestamp]
-        #     Output only.
-        #     Timestamp when this model was last updated.
+        #     Output only. Timestamp when this model was last updated.
         # @!attribute [rw] deployment_state
         #   @return [Google::Cloud::AutoML::V1beta1::Model::DeploymentState]
         #     Output only. Deployment state of the model. A model can only serve
         #     prediction requests after it gets deployed.
         class Model
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