chore: updates prediction and training proto files to v1beta1 AI Platform client libraries.

feat!: removes unused protos from schema/ folders: schema/io_format.proto, schema/saved_query_metadata.proto
feat!: ImageSegmentationPredictionResult.category_mask field changed to string data type
feat: AutoMlImageSegmentationInputs.ModelType adds MOBILE_TF_LOW_LATENCY constant
feat: AutoMlVideoClassificationInputs.ModelType adds MOBILE_JETSON_VERSATILE_1 constant

Committer: @telpirion
PiperOrigin-RevId: 357223795

Author: Google APIs

google/cloud/aiplatform/v1beta1/schema/BUILD.bazel

@@ -16,8 +16,6 @@ proto_library(
         "data_item_payload.proto",
         "dataset_metadata.proto",
         "geometry.proto",
-        "io_format.proto",
-        "saved_query_metadata.proto",
     ],
     deps = [
         "//google/api:annotations_proto",

google/cloud/aiplatform/v1beta1/schema/aiplatform_v1beta1.yaml

@@ -4,46 +4,25 @@ name: aiplatform.googleapis.com
 title: Cloud AI Platform API
 
 types:
-- name: google.cloud.aiplatform.v1beta1.schema.ClassificationPredictionResult
 - name: google.cloud.aiplatform.v1beta1.schema.ImageBoundingBoxAnnotation
 - name: google.cloud.aiplatform.v1beta1.schema.ImageClassificationAnnotation
-- name: google.cloud.aiplatform.v1beta1.schema.ImageClassificationPredictionInstance
-- name: google.cloud.aiplatform.v1beta1.schema.ImageClassificationPredictionParams
 - name: google.cloud.aiplatform.v1beta1.schema.ImageDataItem
 - name: google.cloud.aiplatform.v1beta1.schema.ImageDatasetMetadata
-- name: google.cloud.aiplatform.v1beta1.schema.ImageObjectDetectionPredictionInstance
-- name: google.cloud.aiplatform.v1beta1.schema.ImageObjectDetectionPredictionParams
-- name: google.cloud.aiplatform.v1beta1.schema.ImageObjectDetectionPredictionResult
 - name: google.cloud.aiplatform.v1beta1.schema.ImageSegmentationAnnotation
-- name: google.cloud.aiplatform.v1beta1.schema.ImageSegmentationPredictionInstance
-- name: google.cloud.aiplatform.v1beta1.schema.ImageSegmentationPredictionParams
 - name: google.cloud.aiplatform.v1beta1.schema.PredictionResult
 - name: google.cloud.aiplatform.v1beta1.schema.TablesDatasetMetadata
 - name: google.cloud.aiplatform.v1beta1.schema.TextClassificationAnnotation
-- name: google.cloud.aiplatform.v1beta1.schema.TextClassificationPredictionInstance
 - name: google.cloud.aiplatform.v1beta1.schema.TextDataItem
 - name: google.cloud.aiplatform.v1beta1.schema.TextDatasetMetadata
 - name: google.cloud.aiplatform.v1beta1.schema.TextExtractionAnnotation
-- name: google.cloud.aiplatform.v1beta1.schema.TextExtractionPredictionInstance
-- name: google.cloud.aiplatform.v1beta1.schema.TextExtractionPredictionResult
 - name: google.cloud.aiplatform.v1beta1.schema.TextSentimentAnnotation
-- name: google.cloud.aiplatform.v1beta1.schema.TextSentimentPredictionInstance
-- name: google.cloud.aiplatform.v1beta1.schema.TextSentimentPredictionResult
 - name: google.cloud.aiplatform.v1beta1.schema.TextSentimentSavedQueryMetadata
 - name: google.cloud.aiplatform.v1beta1.schema.TimeSeriesDatasetMetadata
 - name: google.cloud.aiplatform.v1beta1.schema.VideoActionRecognitionAnnotation
-- name: google.cloud.aiplatform.v1beta1.schema.VideoActionRecognitionPredictionInstance
-- name: google.cloud.aiplatform.v1beta1.schema.VideoActionRecognitionPredictionParams
 - name: google.cloud.aiplatform.v1beta1.schema.VideoClassificationAnnotation
-- name: google.cloud.aiplatform.v1beta1.schema.VideoClassificationPredictionInstance
-- name: google.cloud.aiplatform.v1beta1.schema.VideoClassificationPredictionParams
-- name: google.cloud.aiplatform.v1beta1.schema.VideoClassificationPredictionResult
 - name: google.cloud.aiplatform.v1beta1.schema.VideoDataItem
 - name: google.cloud.aiplatform.v1beta1.schema.VideoDatasetMetadata
 - name: google.cloud.aiplatform.v1beta1.schema.VideoObjectTrackingAnnotation
-- name: google.cloud.aiplatform.v1beta1.schema.VideoObjectTrackingPredictionInstance
-- name: google.cloud.aiplatform.v1beta1.schema.VideoObjectTrackingPredictionParams
-- name: google.cloud.aiplatform.v1beta1.schema.VideoObjectTrackingPredictionResult
 - name: google.cloud.aiplatform.v1beta1.schema.VisualInspectionClassificationLabelSavedQueryMetadata
 - name: google.cloud.aiplatform.v1beta1.schema.VisualInspectionMaskSavedQueryMetadata
 - name: google.cloud.aiplatform.v1beta1.schema.predict.instance.ImageClassificationPredictionInstance
@@ -103,8 +82,8 @@ types:
 
 documentation:
   summary: |-
-    Train high-quality custom machine learning models with minimum effort and
-    machine learning expertise.
+    Train high-quality custom machine learning models with minimal machine
+    learning expertise and effort.
   overview: |-
     AI Platform (Unified) enables data scientists, developers, and AI newcomers
     to create custom machine learning models specific to their business needs

google/cloud/aiplatform/v1beta1/schema/dataset_metadata.proto

@@ -69,12 +69,17 @@ message TablesDatasetMetadata {
   }
 
   message GcsSource {
-    // Google Cloud Storage URI to a input file, only .csv file is supported.
+    // Cloud Storage URI of one or more files. Only CSV files are supported.
+    // The first line of the CSV file is used as the header.
+    // If there are multiple files, the header is the first line of
+    // the lexicographically first file, the other files must either
+    // contain the exact same header or omit the header.
     repeated string uri = 1;
   }
 
   message BigQuerySource {
     // The URI of a BigQuery table.
+    // e.g. bq://projectId.bqDatasetId.bqTableId
     string uri = 1;
   }
 
@@ -94,7 +99,11 @@ message TimeSeriesDatasetMetadata {
   }
 
   message GcsSource {
-    // Google Cloud Storage URI to a input file, only .csv file is supported.
+    // Cloud Storage URI of one or more files. Only CSV files are supported.
+    // The first line of the CSV file is used as the header.
+    // If there are multiple files, the header is the first line of
+    // the lexicographically first file, the other files must either
+    // contain the exact same header or omit the header.
     repeated string uri = 1;
   }