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feat(v1beta1): add baselineScore to TablesAnnotation (#116)
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yoshi-automation committed Mar 3, 2020
1 parent 3f5c46f commit f152796d61385867b1ae0bcd6057699a30a0e773
Showing with 3,465 additions and 2,208 deletions.
  1. +55 −53 google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/AutoMlClient.java
  2. +62 −58 google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceClient.java
  3. +8 −4 grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AutoMlGrpc.java
  4. +12 −20 ...gle-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceGrpc.java
  5. +7 −21 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpec.java
  6. +2 −6 ...e-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpecOrBuilder.java
  7. +19 −8 ...-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpecOuterClass.java
  8. +251 −202 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AutoMlProto.java
  9. +168 −64 ...oogle-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictRequest.java
  10. +56 −20 ...ud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictRequestOrBuilder.java
  11. +2 −4 ...google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictResult.java
  12. +22 −63 ...oogle-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ClassificationProto.java
  13. +30 −19 ...ogle-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpecOuterClass.java
  14. +76 −38 ...ogle-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateDatasetRequest.java
  15. +20 −10 ...d-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateDatasetRequestOrBuilder.java
  16. +64 −38 ...google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateModelRequest.java
  17. +17 −10 ...oud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateModelRequestOrBuilder.java
  18. +55 −52 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataItems.java
  19. +51 −41 ...-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DatasetOuterClass.java
  20. +28 −14 ...ogle-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteDatasetRequest.java
  21. +8 −4 ...d-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteDatasetRequestOrBuilder.java
  22. +28 −14 ...google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteModelRequest.java
  23. +8 −4 ...oud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteModelRequestOrBuilder.java
  24. +28 −14 ...google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelRequest.java
  25. +8 −4 ...oud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelRequestOrBuilder.java
  26. +51 −93 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Document.java
  27. +57 −19 ...-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataRequest.java
  28. +15 −5 ...loud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataRequestOrBuilder.java
  29. +45 −19 ...-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesRequest.java
  30. +12 −5 ...1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesRequestOrBuilder.java
  31. +57 −19 ...google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelRequest.java
  32. +15 −5 ...oud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelRequestOrBuilder.java
  33. +28 −14 ...-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetAnnotationSpecRequest.java
  34. +8 −4 ...toml-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetAnnotationSpecRequestOrBuilder.java
  35. +28 −14 ...ogle-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetColumnSpecRequest.java
  36. +8 −4 ...d-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetColumnSpecRequestOrBuilder.java
  37. +28 −14 ...-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetDatasetRequest.java
  38. +8 −4 ...loud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetDatasetRequestOrBuilder.java
  39. +28 −14 ...cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelEvaluationRequest.java
  40. +8 −4 ...oml-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelEvaluationRequestOrBuilder.java
  41. +28 −14 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelRequest.java
  42. +8 −4 ...-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelRequestOrBuilder.java
  43. +28 −14 ...oogle-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetTableSpecRequest.java
  44. +8 −4 ...ud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetTableSpecRequestOrBuilder.java
  45. +126 −154 ...utoml-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelMetadata.java
  46. +36 −44 ...eta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelMetadataOrBuilder.java
  47. +105 −0 ...toml-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelMetadata.java
  48. +30 −0 ...ta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelMetadataOrBuilder.java
  49. +31 −29 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageProto.java
  50. +57 −19 ...-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataRequest.java
  51. +15 −5 ...loud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataRequestOrBuilder.java
  52. +28 −14 ...le-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsRequest.java
  53. +8 −4 ...automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsRequestOrBuilder.java
  54. +28 −14 ...oogle-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsRequest.java
  55. +8 −4 ...ud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsRequestOrBuilder.java
  56. +28 −14 ...oud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsRequest.java
  57. +8 −4 ...l-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsRequestOrBuilder.java
  58. +28 −14 ...-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsRequest.java
  59. +8 −4 ...loud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsRequestOrBuilder.java
  60. +28 −14 ...gle-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsRequest.java
  61. +8 −4 ...-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsRequestOrBuilder.java
  62. +49 −38 ...cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluationOuterClass.java
  63. +54 −44 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelOuterClass.java
  64. +75 −66 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Operations.java
  65. +88 −74 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequest.java
  66. +27 −27 ...e-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequestOrBuilder.java
  67. +2 −4 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponse.java
  68. +61 −47 ...le-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceProto.java
  69. +23 −13 ...oogle-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpecOuterClass.java
  70. +54 −51 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Tables.java
  71. +113 −0 ...o-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesAnnotation.java
  72. +19 −0 ...cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesAnnotationOrBuilder.java
  73. +5 −5 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextProto.java
  74. +24 −20 ...ud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentDatasetMetadata.java
  75. +6 −5 ...-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentDatasetMetadataOrBuilder.java
  76. +21 −35 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippet.java
  77. +6 −10 ...ogle-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippetOrBuilder.java
  78. +14 −14 ...loud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationDatasetMetadata.java
  79. +4 −4 ...ml-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationDatasetMetadataOrBuilder.java
  80. +25 −17 ...o-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationProto.java
  81. +28 −14 ...ogle-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelRequest.java
  82. +8 −4 ...d-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelRequestOrBuilder.java
  83. +48 −24 ...e-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateColumnSpecRequest.java
  84. +12 −6 ...utoml-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateColumnSpecRequestOrBuilder.java
  85. +48 −24 ...ogle-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateDatasetRequest.java
  86. +12 −6 ...d-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateDatasetRequestOrBuilder.java
  87. +48 −24 ...le-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateTableSpecRequest.java
  88. +12 −6 ...automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateTableSpecRequestOrBuilder.java
  89. +1 −2 ...o-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/annotation_payload.proto
  90. +8 −5 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/annotation_spec.proto
  91. +4 −10 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/classification.proto
  92. +7 −2 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/column_spec.proto
  93. +15 −25 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_items.proto
  94. +1 −2 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_stats.proto
  95. +1 −2 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_types.proto
  96. +7 −2 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/dataset.proto
  97. +1 −2 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/detection.proto
  98. +1 −2 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/geometry.proto
  99. +39 −26 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/image.proto
  100. +1 −2 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/io.proto
  101. +7 −2 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/model.proto
  102. +7 −2 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/model_evaluation.proto
  103. +21 −10 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/operations.proto
  104. +46 −33 ...o-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/prediction_service.proto
  105. +1 −2 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/ranges.proto
  106. +1 −2 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/regression.proto
  107. +226 −58 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/service.proto
  108. +7 −2 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/table_spec.proto
  109. +12 −3 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/tables.proto
  110. +1 −2 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/temporal.proto
  111. +17 −11 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text.proto
  112. +1 −2 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_extraction.proto
  113. +1 −2 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_segment.proto
  114. +1 −2 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_sentiment.proto
  115. +4 −4 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/translation.proto
  116. +1 −2 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/video.proto
  117. +6 −6 synth.metadata

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@@ -193,7 +193,7 @@ public final OperationsClient getOperationsClient() {
* }
* </code></pre>
*
* @param name Name of the model requested to serve the prediction.
* @param name Required. Name of the model requested to serve the prediction.
* @param payload Required. Payload to perform a prediction on. The payload must match the problem
* type that the model was trained to solve.
* @param params Additional domain-specific parameters, any string must be up to 25000 characters
@@ -206,12 +206,9 @@ public final OperationsClient getOperationsClient() {
* on the image, it will only produce bounding boxes which have at least this confidence
* score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` - (int64) No more
* than this number of bounding boxes will be returned in the response. Default is 100, the
* requested value may be limited by server. &#42; For Tables: `feature_importance` -
* (boolean) Whether
* <p>[feature_importance][[google.cloud.automl.v1beta1.TablesModelColumnInfo.feature_importance]
* should be populated in the returned
* <p>[TablesAnnotation(-s)][[google.cloud.automl.v1beta1.TablesAnnotation]. The default is
* false.
* requested value may be limited by server. &#42; For Tables:
* feature_imp&lt;span&gt;ortan&lt;/span&gt;ce - (boolean) Whether feature importance should
* be populated in the returned TablesAnnotation. The default is false.
* @throws com.google.api.gax.rpc.ApiException if the remote call fails
*/
public final PredictResponse predict(
@@ -250,7 +247,7 @@ public final PredictResponse predict(
* }
* </code></pre>
*
* @param name Name of the model requested to serve the prediction.
* @param name Required. Name of the model requested to serve the prediction.
* @param payload Required. Payload to perform a prediction on. The payload must match the problem
* type that the model was trained to solve.
* @param params Additional domain-specific parameters, any string must be up to 25000 characters
@@ -263,12 +260,9 @@ public final PredictResponse predict(
* on the image, it will only produce bounding boxes which have at least this confidence
* score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` - (int64) No more
* than this number of bounding boxes will be returned in the response. Default is 100, the
* requested value may be limited by server. &#42; For Tables: `feature_importance` -
* (boolean) Whether
* <p>[feature_importance][[google.cloud.automl.v1beta1.TablesModelColumnInfo.feature_importance]
* should be populated in the returned
* <p>[TablesAnnotation(-s)][[google.cloud.automl.v1beta1.TablesAnnotation]. The default is
* false.
* requested value may be limited by server. &#42; For Tables:
* feature_imp&lt;span&gt;ortan&lt;/span&gt;ce - (boolean) Whether feature importance should
* be populated in the returned TablesAnnotation. The default is false.
* @throws com.google.api.gax.rpc.ApiException if the remote call fails
*/
public final PredictResponse predict(
@@ -371,12 +365,12 @@ public final UnaryCallable<PredictRequest, PredictResponse> predictCallable() {
* }
* </code></pre>
*
* @param name Name of the model requested to serve the batch prediction.
* @param name Required. Name of the model requested to serve the batch prediction.
* @param inputConfig Required. The input configuration for batch prediction.
* @param outputConfig Required. The Configuration specifying where output predictions should be
* written.
* @param params Additional domain-specific parameters for the predictions, any string must be up
* to 25000 characters long.
* @param params Required. Additional domain-specific parameters for the predictions, any string
* must be up to 25000 characters long.
* <p>&#42; For Text Classification:
* <p>`score_threshold` - (float) A value from 0.0 to 1.0. When the model makes predictions
* for a text snippet, it will only produce results that have at least this confidence score.
@@ -391,31 +385,36 @@ public final UnaryCallable<PredictRequest, PredictResponse> predictCallable() {
* default is 0.5. `max_bounding_box_count` - (int64) No more than this number of bounding
* boxes will be produced per image. Default is 100, the requested value may be limited by
* server.
* <p>&#42; For Video Classification : `score_threshold` - (float) A value from 0.0 to 1.0.
* When the model makes predictions for a video, it will only produce results that have at
* least this confidence score. The default is 0.5. `segment_classification` - (boolean) Set
* to true to request segment-level classification. AutoML Video Intelligence returns labels
* and their confidence scores for the entire segment of the video that user specified in the
* request configuration. The default is "true". `shot_classification` - (boolean) Set to true
* to request shot-level classification. AutoML Video Intelligence determines the boundaries
* for each camera shot in the entire segment of the video that user specified in the request
* configuration. AutoML Video Intelligence then returns labels and their confidence scores
* for each detected shot, along with the start and end time of the shot. WARNING: Model
* evaluation is not done for this classification type, the quality of it depends on training
* data, but there are no metrics provided to describe that quality. The default is "false".
* <p>&#42; For Video Classification :
* <p>`score_threshold` - (float) A value from 0.0 to 1.0. When the model makes predictions
* for a video, it will only produce results that have at least this confidence score. The
* default is 0.5. `segment_classification` - (boolean) Set to true to request segment-level
* classification. AutoML Video Intelligence returns labels and their confidence scores for
* the entire segment of the video that user specified in the request configuration. The
* default is "true". `shot_classification` - (boolean) Set to true to request shot-level
* classification. AutoML Video Intelligence determines the boundaries for each camera shot in
* the entire segment of the video that user specified in the request configuration. AutoML
* Video Intelligence then returns labels and their confidence scores for each detected shot,
* along with the start and end time of the shot. WARNING: Model evaluation is not done for
* this classification type, the quality of it depends on training data, but there are no
* metrics provided to describe that quality. The default is "false".
* `1s_interval_classification` - (boolean) Set to true to request classification for a video
* at one-second intervals. AutoML Video Intelligence returns labels and their confidence
* scores for each second of the entire segment of the video that user specified in the
* request configuration. WARNING: Model evaluation is not done for this classification type,
* the quality of it depends on training data, but there are no metrics provided to describe
* that quality. The default is "false".
* <p>&#42; For Video Object Tracking: `score_threshold` - (float) When Model detects objects
* on video frames, it will only produce bounding boxes which have at least this confidence
* score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` - (int64) No more
* than this number of bounding boxes will be returned per frame. Default is 100, the
* requested value may be limited by server. `min_bounding_box_size` - (float) Only bounding
* boxes with shortest edge at least that long as a relative value of video frame size will be
* returned. Value in 0 to 1 range. Default is 0.
* <p>&#42; For Tables:
* <p>feature_imp&lt;span&gt;ortan&lt;/span&gt;ce - (boolean) Whether feature importance
* should be populated in the returned TablesAnnotations. The default is false.
* <p>&#42; For Video Object Tracking:
* <p>`score_threshold` - (float) When Model detects objects on video frames, it will only
* produce bounding boxes which have at least this confidence score. Value in 0 to 1 range,
* default is 0.5. `max_bounding_box_count` - (int64) No more than this number of bounding
* boxes will be returned per frame. Default is 100, the requested value may be limited by
* server. `min_bounding_box_size` - (float) Only bounding boxes with shortest edge at least
* that long as a relative value of video frame size will be returned. Value in 0 to 1 range.
* Default is 0.
* @throws com.google.api.gax.rpc.ApiException if the remote call fails
*/
@BetaApi(
@@ -459,12 +458,12 @@ public final OperationFuture<BatchPredictResult, OperationMetadata> batchPredict
* }
* </code></pre>
*
* @param name Name of the model requested to serve the batch prediction.
* @param name Required. Name of the model requested to serve the batch prediction.
* @param inputConfig Required. The input configuration for batch prediction.
* @param outputConfig Required. The Configuration specifying where output predictions should be
* written.
* @param params Additional domain-specific parameters for the predictions, any string must be up
* to 25000 characters long.
* @param params Required. Additional domain-specific parameters for the predictions, any string
* must be up to 25000 characters long.
* <p>&#42; For Text Classification:
* <p>`score_threshold` - (float) A value from 0.0 to 1.0. When the model makes predictions
* for a text snippet, it will only produce results that have at least this confidence score.
@@ -479,31 +478,36 @@ public final OperationFuture<BatchPredictResult, OperationMetadata> batchPredict
* default is 0.5. `max_bounding_box_count` - (int64) No more than this number of bounding
* boxes will be produced per image. Default is 100, the requested value may be limited by
* server.
* <p>&#42; For Video Classification : `score_threshold` - (float) A value from 0.0 to 1.0.
* When the model makes predictions for a video, it will only produce results that have at
* least this confidence score. The default is 0.5. `segment_classification` - (boolean) Set
* to true to request segment-level classification. AutoML Video Intelligence returns labels
* and their confidence scores for the entire segment of the video that user specified in the
* request configuration. The default is "true". `shot_classification` - (boolean) Set to true
* to request shot-level classification. AutoML Video Intelligence determines the boundaries
* for each camera shot in the entire segment of the video that user specified in the request
* configuration. AutoML Video Intelligence then returns labels and their confidence scores
* for each detected shot, along with the start and end time of the shot. WARNING: Model
* evaluation is not done for this classification type, the quality of it depends on training
* data, but there are no metrics provided to describe that quality. The default is "false".
* <p>&#42; For Video Classification :
* <p>`score_threshold` - (float) A value from 0.0 to 1.0. When the model makes predictions
* for a video, it will only produce results that have at least this confidence score. The
* default is 0.5. `segment_classification` - (boolean) Set to true to request segment-level
* classification. AutoML Video Intelligence returns labels and their confidence scores for
* the entire segment of the video that user specified in the request configuration. The
* default is "true". `shot_classification` - (boolean) Set to true to request shot-level
* classification. AutoML Video Intelligence determines the boundaries for each camera shot in
* the entire segment of the video that user specified in the request configuration. AutoML
* Video Intelligence then returns labels and their confidence scores for each detected shot,
* along with the start and end time of the shot. WARNING: Model evaluation is not done for
* this classification type, the quality of it depends on training data, but there are no
* metrics provided to describe that quality. The default is "false".
* `1s_interval_classification` - (boolean) Set to true to request classification for a video
* at one-second intervals. AutoML Video Intelligence returns labels and their confidence
* scores for each second of the entire segment of the video that user specified in the
* request configuration. WARNING: Model evaluation is not done for this classification type,
* the quality of it depends on training data, but there are no metrics provided to describe
* that quality. The default is "false".
* <p>&#42; For Video Object Tracking: `score_threshold` - (float) When Model detects objects
* on video frames, it will only produce bounding boxes which have at least this confidence
* score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` - (int64) No more
* than this number of bounding boxes will be returned per frame. Default is 100, the
* requested value may be limited by server. `min_bounding_box_size` - (float) Only bounding
* boxes with shortest edge at least that long as a relative value of video frame size will be
* returned. Value in 0 to 1 range. Default is 0.
* <p>&#42; For Tables:
* <p>feature_imp&lt;span&gt;ortan&lt;/span&gt;ce - (boolean) Whether feature importance
* should be populated in the returned TablesAnnotations. The default is false.
* <p>&#42; For Video Object Tracking:
* <p>`score_threshold` - (float) When Model detects objects on video frames, it will only
* produce bounding boxes which have at least this confidence score. Value in 0 to 1 range,
* default is 0.5. `max_bounding_box_count` - (int64) No more than this number of bounding
* boxes will be returned per frame. Default is 100, the requested value may be limited by
* server. `min_bounding_box_size` - (float) Only bounding boxes with shortest edge at least
* that long as a relative value of video frame size will be returned. Value in 0 to 1 range.
* Default is 0.
* @throws com.google.api.gax.rpc.ApiException if the remote call fails
*/
@BetaApi(
@@ -1681,7 +1681,8 @@ public void deleteModel(
* (as e.g. changing
* [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number])
* will reset the deployment state without pausing the model's availability.
* Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.
* Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage
* deployment automatically.
* Returns an empty response in the
* [response][google.longrunning.Operation.response] field when it completes.
* </pre>
@@ -2290,7 +2291,8 @@ public void deleteModel(
* (as e.g. changing
* [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number])
* will reset the deployment state without pausing the model's availability.
* Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.
* Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage
* deployment automatically.
* Returns an empty response in the
* [response][google.longrunning.Operation.response] field when it completes.
* </pre>
@@ -2700,7 +2702,8 @@ public com.google.longrunning.Operation deleteModel(
* (as e.g. changing
* [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number])
* will reset the deployment state without pausing the model's availability.
* Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.
* Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage
* deployment automatically.
* Returns an empty response in the
* [response][google.longrunning.Operation.response] field when it completes.
* </pre>
@@ -3102,7 +3105,8 @@ protected AutoMlFutureStub build(io.grpc.Channel channel, io.grpc.CallOptions ca
* (as e.g. changing
* [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number])
* will reset the deployment state without pausing the model's availability.
* Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.
* Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage
* deployment automatically.
* Returns an empty response in the
* [response][google.longrunning.Operation.response] field when it completes.
* </pre>

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