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6A feat: Adds additional_experiments field to AutoMlTablesInputs feat: A… · googleapis/google-cloud-dotnet@b123458 · GitHub
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feat: Adds additional_experiments field to AutoMlTablesInputs feat: Adds two new ModelType constants for Video Action Recognition training jobs
PiperOrigin-RevId: 384483418 Source-Author: Google APIs <noreply@google.com> Source-Date: Tue Jul 13 09:35:55 2021 -0700 Source-Repo: googleapis/googleapis Source-Sha: 369fd2ade113e707ee29794fe558d7d25955032c Source-Link: googleapis/googleapis@369fd2a
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‎apis/Google.Cloud.AIPlatform.V1/Google.Cloud.AIPlatform.V1/Schema/Predict/Instance/ImageClassification.g.cs

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@@ -94,7 +94,7 @@ public ImageClassificationPredictionInstance Clone() {
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public const int ContentFieldNumber = 1;
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private string content_ = "";
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//github.com/ <summary>
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//github.com/ The image bytes or GCS URI to make the prediction on.
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//github.com/ The image bytes or Cloud Storage URI to make the prediction on.
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//github.com/ </summary>
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[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
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public string Content {

‎apis/Google.Cloud.AIPlatform.V1/Google.Cloud.AIPlatform.V1/Schema/Predict/Instance/ImageObjectDetection.g.cs

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@@ -94,7 +94,7 @@ public ImageObjectDetectionPredictionInstance Clone() {
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public const int ContentFieldNumber = 1;
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private string content_ = "";
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//github.com/ <summary>
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//github.com/ The image bytes or GCS URI to make the prediction on.
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//github.com/ The image bytes or Cloud Storage URI to make the prediction on.
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//github.com/ </summary>
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[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
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public string Content {

‎apis/Google.Cloud.AIPlatform.V1/Google.Cloud.AIPlatform.V1/Schema/Predict/Instance/TextExtraction.g.cs

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@@ -127,7 +127,7 @@ public string MimeType {
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//github.com/ <summary>
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//github.com/ This field is only used for batch prediction. If a key is provided, the
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//github.com/ batch prediction result will by mapped to this key. If omitted, then the
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//github.com/ batch prediction result will contain the entire input instance. AI Platform
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//github.com/ batch prediction result will contain the entire input instance. Vertex AI
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//github.com/ will not check if keys in the request are duplicates, so it is up to the
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//github.com/ caller to ensure the keys are unique.
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//github.com/ </summary>

‎apis/Google.Cloud.AIPlatform.V1/Google.Cloud.AIPlatform.V1/Schema/Predict/Params/VideoClassification.g.cs

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@@ -130,7 +130,7 @@ public int MaxPredictions {
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public const int SegmentClassificationFieldNumber = 3;
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private bool segmentClassification_;
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//github.com/ <summary>
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//github.com/ Set to true to request segment-level classification. AI Platform returns
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//github.com/ Set to true to request segment-level classification. Vertex AI returns
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//github.com/ labels and their confidence scores for the entire time segment of the
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//github.com/ video that user specified in the input instance.
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//github.com/ Default value is true
@@ -147,9 +147,9 @@ public bool SegmentClassification {
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public const int ShotClassificationFieldNumber = 4;
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private bool shotClassification_;
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//github.com/ <summary>
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//github.com/ Set to true to request shot-level classification. AI Platform determines
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//github.com/ Set to true to request shot-level classification. Vertex AI determines
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//github.com/ the boundaries for each camera shot in the entire time segment of the
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//github.com/ video that user specified in the input instance. AI Platform then
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//github.com/ video that user specified in the input instance. Vertex AI then
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//github.com/ returns labels and their confidence scores for each detected shot, along
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//github.com/ with the start and end time of the shot.
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//github.com/ WARNING: Model evaluation is not done for this classification type,
@@ -170,7 +170,7 @@ public bool ShotClassification {
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private bool oneSecIntervalClassification_;
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//github.com/ <summary>
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//github.com/ Set to true to request classification for a video at one-second intervals.
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//github.com/ AI Platform returns labels and their confidence scores for each second of
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//github.com/ Vertex AI returns labels and their confidence scores for each second of
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//github.com/ the entire time segment of the video that user specified in the input
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//github.com/ WARNING: Model evaluation is not done for this classification type, the
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//github.com/ quality of it depends on the training data, but there are no metrics

‎apis/Google.Cloud.AIPlatform.V1/Google.Cloud.AIPlatform.V1/Schema/Predict/Prediction/Classification.g.cs

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= pb::FieldCodec.ForInt64(10);
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private readonly pbc::RepeatedField<long> ids_ = new pbc::RepeatedField<long>();
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//github.com/ <summary>
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//github.com/ The resource IDs of the AnnotationSpecs that had been identified, ordered
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//github.com/ by the confidence score descendingly.
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//github.com/ The resource IDs of the AnnotationSpecs that had been identified.
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//github.com/ </summary>
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[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
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public pbc::RepeatedField<long> Ids {

‎apis/Google.Cloud.AIPlatform.V1/Google.Cloud.AIPlatform.V1/Schema/TrainingJob/Definition/AutomlTables.g.cs

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‎apis/Google.Cloud.AIPlatform.V1/Google.Cloud.AIPlatform.V1/Schema/TrainingJob/Definition/AutomlVideoActionRecognition.g.cs

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@@ -31,21 +31,22 @@ static AutomlVideoActionRecognitionReflection() {
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"VHJhaW5pbmdKb2I6OkRlZmluaXRpb25iBnByb3RvMw=="));
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descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
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new pbr::FileDescriptor[] { global::Google.Api.AnnotationsReflection.Descriptor, },
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new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
@@ -435,6 +436,18 @@ public enum ModelType {
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//github.com/ TensorFlow Lite model and used on a mobile or edge device afterwards.
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//github.com/ </summary>
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[pbr::OriginalName("MOBILE_VERSATILE_1")] MobileVersatile1 = 2,
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//github.com/ <summary>
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//github.com/ A model that, in addition to being available within Google Cloud, can
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//github.com/ also be exported (see ModelService.ExportModel) to a Jetson device
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//github.com/ afterwards.
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//github.com/ </summary>
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[pbr::OriginalName("MOBILE_JETSON_VERSATILE_1")] MobileJetsonVersatile1 = 3,
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//github.com/ <summary>
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//github.com/ A model that, in addition to being available within Google Cloud, can
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//github.com/ also be exported (see ModelService.ExportModel) as a TensorFlow or
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//github.com/ TensorFlow Lite model and used on a Coral device afterwards.
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//github.com/ </summary>
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[pbr::OriginalName("MOBILE_CORAL_VERSATILE_1")] MobileCoralVersatile1 = 4,
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}
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}

‎apis/Google.Cloud.AIPlatform.V1/Google.Cloud.AIPlatform.V1/Schema/TrainingJob/Definition/ExportEvaluatedDataItemsConfig.g.cs

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//github.com/
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//github.com/ If not specified, then results are exported to the following auto-created
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//github.com/ BigQuery table:
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//github.com/
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//github.com/ &lt;project_id>:export_evaluated_examples_&lt;model_name>_&lt;yyyy_MM_dd'T'HH_mm_ss_SSS'Z'>.evaluated_examples
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//github.com/ </summary>
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[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

‎apis/Google.Cloud.AIPlatform.V1/synth.metadata

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"git": {
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"name": "googleapis",
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"remote": "https://github.com/googleapis/googleapis.git",
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"sha": "478169f2acb0e0c28d9ee2ccee95071d710052bb"
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"sha": "369fd2ade113e707ee29794fe558d7d25955032c"
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}
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}
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]

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