docs: removes tinyurl links

PiperOrigin-RevId: 375484379

google/cloud/aiplatform/v1beta1/annotation.proto

@@ -41,8 +41,8 @@ message Annotation {
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The
-  // schema is defined as an
-  // [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+  // schema is defined as an [OpenAPI 3.0.2 Schema
+  // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   // The schema files that can be used here are found in
   // gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
   // chosen schema must be consistent with the parent Dataset's

google/cloud/aiplatform/v1beta1/dataset.proto

@@ -109,7 +109,8 @@ message ImportDataConfig {
 
   // Required. Points to a YAML file stored on Google Cloud Storage describing the import
   // format. Validation will be done against the schema. The schema is defined
-  // as an [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+  // as an [OpenAPI 3.0.2 Schema
+  // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   string import_schema_uri = 4 [(google.api.field_behavior) = REQUIRED];
 }
 

google/cloud/aiplatform/v1beta1/dataset_service.proto

@@ -180,8 +180,7 @@ message UpdateDatasetRequest {
   Dataset dataset = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The update mask applies to the resource.
-  // For the `FieldMask` definition, see
-  // [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+  // For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
   // Updatable fields:
   //
   //   * `display_name`

google/cloud/aiplatform/v1beta1/endpoint_service.proto

@@ -202,9 +202,7 @@ message UpdateEndpointRequest {
   // Required. The Endpoint which replaces the resource on the server.
   Endpoint endpoint = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The update mask applies to the resource.
-  // See
-  // [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+  // Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
   google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
 }
 

google/cloud/aiplatform/v1beta1/explanation.proto

@@ -284,9 +284,8 @@ message SmoothGradConfig {
     // This is a single float value and will be used to add noise to all the
     // features. Use this field when all features are normalized to have the
     // same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
-    // features are normalized to have 0-mean and 1-variance. For more details
-    // about normalization:
-    // https://tinyurl.com/dgc-normalization.
+    // features are normalized to have 0-mean and 1-variance. Learn more about
+    // [normalization](https://developers.google.com/machine-learning/data-prep/transform/normalization).
     //
     // For best results the recommended value is about 10% - 20% of the standard
     // deviation of the input feature. Refer to section 3.2 of the SmoothGrad

google/cloud/aiplatform/v1beta1/explanation_metadata.proto

@@ -388,8 +388,8 @@ message ExplanationMetadata {
 
   // Points to a YAML file stored on Google Cloud Storage describing the format
   // of the [feature attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
-  // The schema is defined as an OpenAPI 3.0.2
-  // [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+  // The schema is defined as an OpenAPI 3.0.2 [Schema
+  // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   // AutoML tabular Models always have this field populated by Vertex AI.
   // Note: The URI given on output may be different, including the URI scheme,
   // than the one given on input. The output URI will point to a location where

google/cloud/aiplatform/v1beta1/index.proto

@@ -50,8 +50,8 @@ message Index {
   // Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
   // information about the Index, that is specific to it. Unset if the Index
   // does not have any additional information.
-  // The schema is defined as an OpenAPI 3.0.2
-  // [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+  // The schema is defined as an OpenAPI 3.0.2 [Schema
+  // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   // Note: The URI given on output will be immutable and probably different,
   // including the URI scheme, than the one given on input. The output URI will
   // point to a location where the user only has a read access.

google/cloud/aiplatform/v1beta1/index_endpoint_service.proto

@@ -209,9 +209,7 @@ message UpdateIndexEndpointRequest {
   // Required. The IndexEndpoint which replaces the resource on the server.
   IndexEndpoint index_endpoint = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The update mask applies to the resource.
-  // See
-  // [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+  // Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
   google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
 }
 

google/cloud/aiplatform/v1beta1/index_service.proto

@@ -172,8 +172,7 @@ message UpdateIndexRequest {
   Index index = 1 [(google.api.field_behavior) = REQUIRED];
 
   // The update mask applies to the resource.
-  // For the `FieldMask` definition, see
-  // [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+  // For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
   google.protobuf.FieldMask update_mask = 2;
 }
 

google/cloud/aiplatform/v1beta1/machine_resources.proto

@@ -27,10 +27,13 @@ option java_package = "com.google.cloud.aiplatform.v1beta1";
 
 // Specification of a single machine.
 message MachineSpec {
-  // Immutable. The type of the machine. For the machine types supported for prediction,
-  // see https://tinyurl.com/aip-docs/predictions/machine-types.
-  // For machine types supported for creating a custom training job, see
-  // https://tinyurl.com/aip-docs/training/configure-compute.
+  // Immutable. The type of the machine.
+  //
+  // See the [list of machine types supported for
+  // prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
+  //
+  // See the [list of machine types supported for custom
+  // training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
   //
   // For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
   // value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of

google/cloud/aiplatform/v1beta1/model.proto

@@ -118,8 +118,8 @@ message Model {
   // Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
   // information about the Model, that is specific to it. Unset if the Model
   // does not have any additional information.
-  // The schema is defined as an OpenAPI 3.0.2
-  // [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+  // The schema is defined as an OpenAPI 3.0.2 [Schema
+  // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   // AutoML Models always have this field populated by Vertex AI, if no
   // additional metadata is needed, this field is set to an empty string.
   // Note: The URI given on output will be immutable and probably different,
@@ -303,8 +303,8 @@ message PredictSchemata {
   // of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
   // [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] and
   // [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
-  // The schema is defined as an OpenAPI 3.0.2
-  // [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+  // The schema is defined as an OpenAPI 3.0.2 [Schema
+  // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   // AutoML Models always have this field populated by Vertex AI.
   // Note: The URI given on output will be immutable and probably different,
   // including the URI scheme, than the one given on input. The output URI will
@@ -315,8 +315,8 @@ message PredictSchemata {
   // parameters of prediction and explanation via
   // [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters] and
   // [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model_parameters].
-  // The schema is defined as an OpenAPI 3.0.2
-  // [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+  // The schema is defined as an OpenAPI 3.0.2 [Schema
+  // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   // AutoML Models always have this field populated by Vertex AI, if no
   // parameters are supported, then it is set to an empty string.
   // Note: The URI given on output will be immutable and probably different,
@@ -328,8 +328,8 @@ message PredictSchemata {
   // of a single prediction produced by this Model, which are returned via
   // [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations], and
   // [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
-  // The schema is defined as an OpenAPI 3.0.2
-  // [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+  // The schema is defined as an OpenAPI 3.0.2 [Schema
+  // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   // AutoML Models always have this field populated by Vertex AI.
   // Note: The URI given on output will be immutable and probably different,
   // including the URI scheme, than the one given on input. The output URI will
@@ -338,21 +338,21 @@ message PredictSchemata {
 }
 
 // Specification of a container for serving predictions. Some fields in this
-// message correspond to fields in the Kubernetes Container v1 core
-// [specification](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+// message correspond to fields in the [Kubernetes Container v1 core
+// specification](https://v1-18.docs.kubernetes.io/docs/reference/generated/kubernetes-api/v1.18/#container-v1-core).
 message ModelContainerSpec {
   // Required. Immutable. URI of the Docker image to be used as the custom container for serving
   // predictions. This URI must identify an image in Artifact Registry or
-  // Container Registry. Learn more about the container publishing
-  // requirements, including permissions requirements for the AI Platform
-  // Service Agent,
-  // [here](https://tinyurl.com/cust-cont-reqs#publishing).
+  // Container Registry. Learn more about the [container publishing
+  // requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
+  // including permissions requirements for the AI Platform Service Agent.
   //
   // The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], stored
   // internally, and this original path is afterwards not used.
   //
   // To learn about the requirements for the Docker image itself, see
-  // [Custom container requirements](https://tinyurl.com/cust-cont-reqs).
+  // [Custom container
+  // requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
   //
   // You can use the URI to one of Vertex AI's [pre-built container images for
   // prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers)
@@ -372,19 +372,19 @@ message ModelContainerSpec {
   // in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the
   // container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
   // if either exists. If this field is not specified and the container does not
-  // have an `ENTRYPOINT`, then refer to the Docker documentation about how
+  // have an `ENTRYPOINT`, then refer to the Docker documentation about [how
   // `CMD` and `ENTRYPOINT`
-  // [interact](https://tinyurl.com/h3kdcgs).
+  // interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
   //
   // If you specify this field, then you can also specify the `args` field to
   // provide additional arguments for this command. However, if you specify this
   // field, then the container's `CMD` is ignored. See the
-  // [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+  // [Kubernetes documentation about how the
   // `command` and `args` fields interact with a container's `ENTRYPOINT` and
-  // `CMD`.
+  // `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
   //
-  // In this field, you can reference environment variables
-  // [set by Vertex AI](https://tinyurl.com/cust-cont-reqs#aip-variables)
+  // In this field, you can reference [environment variables set by Vertex
+  // AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
   // and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
   // You cannot reference environment variables set in the Docker image. In
   // order for environment variables to be expanded, reference them by using the
@@ -396,7 +396,8 @@ message ModelContainerSpec {
   // syntax with `$$`; for example:
   // <code>$$(<var>VARIABLE_NAME</var>)</code>
   // This field corresponds to the `command` field of the Kubernetes Containers
-  // [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+  // [v1 core
+  // API](https://v1-18.docs.kubernetes.io/docs/reference/generated/kubernetes-api/v1.18/#container-v1-core).
   repeated string command = 2 [(google.api.field_behavior) = IMMUTABLE];
 
   // Immutable. Specifies arguments for the command that runs when the container starts.
@@ -408,19 +409,20 @@ message ModelContainerSpec {
   // If you don't specify this field but do specify the
   // [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the
   // `command` field runs without any additional arguments. See the
-  // [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+  // [Kubernetes documentation about how the
   // `command` and `args` fields interact with a container's `ENTRYPOINT` and
-  // `CMD`.
+  // `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
   //
   // If you don't specify this field and don't specify the `command` field,
   // then the container's
   // [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
   // `CMD` determine what runs based on their default behavior. See the Docker
-  // documentation about how `CMD` and `ENTRYPOINT`
-  // [interact](https://tinyurl.com/h3kdcgs).
+  // documentation about [how `CMD` and `ENTRYPOINT`
+  // interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
   //
-  // In this field, you can reference environment variables
-  // [set by Vertex AI](https://tinyurl.com/cust-cont-reqs#aip-variables)
+  // In this field, you can reference [environment variables
+  // set by Vertex
+  // AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
   // and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
   // You cannot reference environment variables set in the Docker image. In
   // order for environment variables to be expanded, reference them by using the
@@ -432,7 +434,8 @@ message ModelContainerSpec {
   // syntax with `$$`; for example:
   // <code>$$(<var>VARIABLE_NAME</var>)</code>
   // This field corresponds to the `args` field of the Kubernetes Containers
-  // [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+  // [v1 core
+  // API](https://v1-18.docs.kubernetes.io/docs/reference/generated/kubernetes-api/v1.18/#container-v1-core).
   repeated string args = 3 [(google.api.field_behavior) = IMMUTABLE];
 
   // Immutable. List of environment variables to set in the container. After the container
@@ -461,13 +464,15 @@ message ModelContainerSpec {
   // does not occur.
   //
   // This field corresponds to the `env` field of the Kubernetes Containers
-  // [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+  // [v1 core
+  // API](https://v1-18.docs.kubernetes.io/docs/reference/generated/kubernetes-api/v1.18/#container-v1-core).
   repeated EnvVar env = 4 [(google.api.field_behavior) = IMMUTABLE];
 
   // Immutable. List of ports to expose from the container. Vertex AI sends any
   // prediction requests that it receives to the first port on this list. AI
   // Platform also sends
-  // [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+  // [liveness and health
+  // checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness)
   // to this port.
   //
   // If you do not specify this field, it defaults to following value:
@@ -482,7 +487,8 @@ message ModelContainerSpec {
   //
   // Vertex AI does not use ports other than the first one listed. This field
   // corresponds to the `ports` field of the Kubernetes Containers
-  // [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+  // [v1 core
+  // API](https://v1-18.docs.kubernetes.io/docs/reference/generated/kubernetes-api/v1.18/#container-v1-core).
   repeated Port ports = 5 [(google.api.field_behavior) = IMMUTABLE];
 
   // Immutable. HTTP path on the container to send prediction requests to. Vertex AI
@@ -505,21 +511,20 @@ message ModelContainerSpec {
   // * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
   //   Endpoint.name][] field of the Endpoint where this Model has been
   //   deployed. (Vertex AI makes this value available to your container code
-  //   as the
-  //  [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
-  //  environment variable.)
+  //   as the [`AIP_ENDPOINT_ID` environment
+  //  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
   //
   // * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
   //   (Vertex AI makes this value available to your container code
   //   as the [`AIP_DEPLOYED_MODEL_ID` environment
-  //   variable](https://tinyurl.com/cust-cont-reqs#aip-variables).)
+  //   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
   string predict_route = 6 [(google.api.field_behavior) = IMMUTABLE];
 
   // Immutable. HTTP path on the container to send health checks to. Vertex AI
   // intermittently sends GET requests to this path on the container's IP
   // address and port to check that the container is healthy. Read more about
   // [health
-  // checks](https://tinyurl.com/cust-cont-reqs#checks).
+  // checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health).
   //
   // For example, if you set this field to `/bar`, then Vertex AI
   // intermittently sends a GET request to the `/bar` path on the port of your
@@ -534,14 +539,13 @@ message ModelContainerSpec {
   // * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
   //   Endpoint.name][] field of the Endpoint where this Model has been
   //   deployed. (Vertex AI makes this value available to your container code
-  //   as the
-  //   [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
-  //   environment variable.)
+  //   as the [`AIP_ENDPOINT_ID` environment
+  //   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
   //
   // * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
   //   (Vertex AI makes this value available to your container code as the
-  // [`AIP_DEPLOYED_MODEL_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
-  //   environment variable.)
+  //   [`AIP_DEPLOYED_MODEL_ID` environment
+  //   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
   string health_route = 7 [(google.api.field_behavior) = IMMUTABLE];
 }
 

google/cloud/aiplatform/v1beta1/model_evaluation.proto

@@ -54,8 +54,8 @@ message ModelEvaluation {
 
   // Output only. Points to a YAML file stored on Google Cloud Storage describing the
   // [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-  // defined as an OpenAPI 3.0.2
-  // [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+  // defined as an OpenAPI 3.0.2 [Schema
+  // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   string metrics_schema_uri = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Evaluation metrics of the Model. The schema of the metrics is stored in

google/cloud/aiplatform/v1beta1/model_evaluation_slice.proto

@@ -56,8 +56,8 @@ message ModelEvaluationSlice {
 
   // Output only. Points to a YAML file stored on Google Cloud Storage describing the
   // [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-  // schema is defined as an OpenAPI 3.0.2
-  // [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+  // schema is defined as an OpenAPI 3.0.2 [Schema
+  // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   string metrics_schema_uri = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored

google/cloud/aiplatform/v1beta1/model_service.proto

@@ -237,8 +237,7 @@ message UpdateModelRequest {
   Model model = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The update mask applies to the resource.
-  // For the `FieldMask` definition, see
-  // [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+  // For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
   google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
 }
 

google/cloud/aiplatform/v1beta1/training_pipeline.proto

@@ -244,8 +244,8 @@ message InputDataConfig {
   // Annotations.
   //
   // Cloud Storage URI that points to a YAML file describing the annotation
-  // schema. The schema is defined as an OpenAPI 3.0.2
-  // [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+  // schema. The schema is defined as an OpenAPI 3.0.2 [Schema
+  // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   // The schema files that can be used here are found in
   // gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
   // chosen schema must be consistent with