Package com.google.cloud.automl.v1

Class BatchPredictRequest.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<BatchPredictRequest.Builder>
com.google.cloud.automl.v1.BatchPredictRequest.Builder
All Implemented Interfaces:
BatchPredictRequestOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
BatchPredictRequest
public static final class BatchPredictRequest.Builder extends com.google.protobuf.GeneratedMessage.Builder<BatchPredictRequest.Builder> implements BatchPredictRequestOrBuilder
 Request message for [PredictionService.BatchPredict][google.cloud.automl.v1.PredictionService.BatchPredict].
Protobuf type google.cloud.automl.v1.BatchPredictRequest

  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

    • internalGetMapFieldReflection

      protected com.google.protobuf.MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
      Overrides:
      internalGetMapFieldReflection in class com.google.protobuf.GeneratedMessage.Builder<BatchPredictRequest.Builder>

    • internalGetMutableMapFieldReflection

      protected com.google.protobuf.MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)
      Overrides:
      internalGetMutableMapFieldReflection in class com.google.protobuf.GeneratedMessage.Builder<BatchPredictRequest.Builder>

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<BatchPredictRequest.Builder>

    • clear

      public BatchPredictRequest.Builder clear()
      Specified by:
      clear in interface com.google.protobuf.Message.Builder
      Specified by:
      clear in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clear in class com.google.protobuf.GeneratedMessage.Builder<BatchPredictRequest.Builder>

    • getDescriptorForType

      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.Message.Builder
      Specified by:
      getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<BatchPredictRequest.Builder>

    • getDefaultInstanceForType

      public BatchPredictRequest getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

    • build

      public BatchPredictRequest build()
      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder

    • buildPartial

      public BatchPredictRequest buildPartial()
      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder

    • mergeFrom

      public BatchPredictRequest.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<BatchPredictRequest.Builder>

    • mergeFrom

      public BatchPredictRequest.Builder mergeFrom(BatchPredictRequest other)

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessage.Builder<BatchPredictRequest.Builder>

    • mergeFrom

      public BatchPredictRequest.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Specified by:
      mergeFrom in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<BatchPredictRequest.Builder>
      Throws:
      IOException

    • getName

      public String getName()
       Required. Name of the model requested to serve the batch prediction.
      string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
      Specified by:
      getName in interface BatchPredictRequestOrBuilder
      Returns:
      The name.

    • getNameBytes

      public com.google.protobuf.ByteString getNameBytes()
       Required. Name of the model requested to serve the batch prediction.
      string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
      Specified by:
      getNameBytes in interface BatchPredictRequestOrBuilder
      Returns:
      The bytes for name.

    • setName

      public BatchPredictRequest.Builder setName(String value)
       Required. Name of the model requested to serve the batch prediction.
      string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
      Parameters:
      value - The name to set.
      Returns:
      This builder for chaining.

    • clearName

      public BatchPredictRequest.Builder clearName()
       Required. Name of the model requested to serve the batch prediction.
      string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
      Returns:
      This builder for chaining.

    • setNameBytes

      public BatchPredictRequest.Builder setNameBytes(com.google.protobuf.ByteString value)
       Required. Name of the model requested to serve the batch prediction.
      string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
      Parameters:
      value - The bytes for name to set.
      Returns:
      This builder for chaining.

    • hasInputConfig

      public boolean hasInputConfig()
       Required. The input configuration for batch prediction.
      .google.cloud.automl.v1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      hasInputConfig in interface BatchPredictRequestOrBuilder
      Returns:
      Whether the inputConfig field is set.

    • getInputConfig

      public BatchPredictInputConfig getInputConfig()
       Required. The input configuration for batch prediction.
      .google.cloud.automl.v1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getInputConfig in interface BatchPredictRequestOrBuilder
      Returns:
      The inputConfig.

    • setInputConfig

      public BatchPredictRequest.Builder setInputConfig(BatchPredictInputConfig value)
       Required. The input configuration for batch prediction.
      .google.cloud.automl.v1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];

    • setInputConfig

      public BatchPredictRequest.Builder setInputConfig(BatchPredictInputConfig.Builder builderForValue)
       Required. The input configuration for batch prediction.
      .google.cloud.automl.v1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];

    • mergeInputConfig

      public BatchPredictRequest.Builder mergeInputConfig(BatchPredictInputConfig value)
       Required. The input configuration for batch prediction.
      .google.cloud.automl.v1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];

    • clearInputConfig

      public BatchPredictRequest.Builder clearInputConfig()
       Required. The input configuration for batch prediction.
      .google.cloud.automl.v1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];

    • getInputConfigBuilder

      public BatchPredictInputConfig.Builder getInputConfigBuilder()
       Required. The input configuration for batch prediction.
      .google.cloud.automl.v1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];

    • getInputConfigOrBuilder

      public BatchPredictInputConfigOrBuilder getInputConfigOrBuilder()
       Required. The input configuration for batch prediction.
      .google.cloud.automl.v1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getInputConfigOrBuilder in interface BatchPredictRequestOrBuilder

    • hasOutputConfig

      public boolean hasOutputConfig()
       Required. The Configuration specifying where output predictions should
 be written.
      .google.cloud.automl.v1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      hasOutputConfig in interface BatchPredictRequestOrBuilder
      Returns:
      Whether the outputConfig field is set.

    • getOutputConfig

      public BatchPredictOutputConfig getOutputConfig()
       Required. The Configuration specifying where output predictions should
 be written.
      .google.cloud.automl.v1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getOutputConfig in interface BatchPredictRequestOrBuilder
      Returns:
      The outputConfig.

    • setOutputConfig

      public BatchPredictRequest.Builder setOutputConfig(BatchPredictOutputConfig value)
       Required. The Configuration specifying where output predictions should
 be written.
      .google.cloud.automl.v1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];

    • setOutputConfig

      public BatchPredictRequest.Builder setOutputConfig(BatchPredictOutputConfig.Builder builderForValue)
       Required. The Configuration specifying where output predictions should
 be written.
      .google.cloud.automl.v1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];

    • mergeOutputConfig

      public BatchPredictRequest.Builder mergeOutputConfig(BatchPredictOutputConfig value)
       Required. The Configuration specifying where output predictions should
 be written.
      .google.cloud.automl.v1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];

    • clearOutputConfig

      public BatchPredictRequest.Builder clearOutputConfig()
       Required. The Configuration specifying where output predictions should
 be written.
      .google.cloud.automl.v1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];

    • getOutputConfigBuilder

      public BatchPredictOutputConfig.Builder getOutputConfigBuilder()
       Required. The Configuration specifying where output predictions should
 be written.
      .google.cloud.automl.v1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];

    • getOutputConfigOrBuilder

      public BatchPredictOutputConfigOrBuilder getOutputConfigOrBuilder()
       Required. The Configuration specifying where output predictions should
 be written.
      .google.cloud.automl.v1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getOutputConfigOrBuilder in interface BatchPredictRequestOrBuilder

    • getParamsCount

      public int getParamsCount()
      Description copied from interface: BatchPredictRequestOrBuilder
       Additional domain-specific parameters for the predictions, any string must
 be up to 25000 characters long.

 AutoML Natural Language Classification

 `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. The default is 0.5.


 AutoML Vision Classification

 `score_threshold`
 : (float) A value from 0.0 to 1.0. When the model
 makes predictions for an image, it will only produce results that
 have at least this confidence score. The default is 0.5.

 AutoML Vision Object Detection

 `score_threshold`
 : (float) When Model detects objects 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) The maximum number of bounding
 boxes returned per image. The default is 100, the
 number of bounding boxes returned might be limited by the server.
 AutoML Video Intelligence 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.
 The default is false.

 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.

 `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. The default is false.

 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.

 AutoML Video Intelligence 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) The maximum number of bounding
 boxes returned per image. The default is 100, the
 number of bounding boxes returned might be limited by the server.

 `min_bounding_box_size`
 : (float) Only bounding boxes with shortest edge
 at least that long as a relative value of video frame size are
 returned. Value in 0 to 1 range. Default is 0.
      map<string, string> params = 5;
      Specified by:
      getParamsCount in interface BatchPredictRequestOrBuilder

    • containsParams

      public boolean containsParams(String key)
       Additional domain-specific parameters for the predictions, any string must
 be up to 25000 characters long.

 AutoML Natural Language Classification

 `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. The default is 0.5.


 AutoML Vision Classification

 `score_threshold`
 : (float) A value from 0.0 to 1.0. When the model
 makes predictions for an image, it will only produce results that
 have at least this confidence score. The default is 0.5.

 AutoML Vision Object Detection

 `score_threshold`
 : (float) When Model detects objects 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) The maximum number of bounding
 boxes returned per image. The default is 100, the
 number of bounding boxes returned might be limited by the server.
 AutoML Video Intelligence 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.
 The default is false.

 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.

 `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. The default is false.

 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.

 AutoML Video Intelligence 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) The maximum number of bounding
 boxes returned per image. The default is 100, the
 number of bounding boxes returned might be limited by the server.

 `min_bounding_box_size`
 : (float) Only bounding boxes with shortest edge
 at least that long as a relative value of video frame size are
 returned. Value in 0 to 1 range. Default is 0.
      map<string, string> params = 5;
      Specified by:
      containsParams in interface BatchPredictRequestOrBuilder

    • getParams

      @Deprecated public Map<String,String> getParams()
      Deprecated.
      Use getParamsMap() instead.
      Specified by:
      getParams in interface BatchPredictRequestOrBuilder

    • getParamsMap

      public Map<String,String> getParamsMap()
       Additional domain-specific parameters for the predictions, any string must
 be up to 25000 characters long.

 AutoML Natural Language Classification

 `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. The default is 0.5.


 AutoML Vision Classification

 `score_threshold`
 : (float) A value from 0.0 to 1.0. When the model
 makes predictions for an image, it will only produce results that
 have at least this confidence score. The default is 0.5.

 AutoML Vision Object Detection

 `score_threshold`
 : (float) When Model detects objects 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) The maximum number of bounding
 boxes returned per image. The default is 100, the
 number of bounding boxes returned might be limited by the server.
 AutoML Video Intelligence 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.
 The default is false.

 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.

 `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. The default is false.

 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.

 AutoML Video Intelligence 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) The maximum number of bounding
 boxes returned per image. The default is 100, the
 number of bounding boxes returned might be limited by the server.

 `min_bounding_box_size`
 : (float) Only bounding boxes with shortest edge
 at least that long as a relative value of video frame size are
 returned. Value in 0 to 1 range. Default is 0.
      map<string, string> params = 5;
      Specified by:
      getParamsMap in interface BatchPredictRequestOrBuilder

    • getParamsOrDefault

      public String getParamsOrDefault(String key, String defaultValue)
       Additional domain-specific parameters for the predictions, any string must
 be up to 25000 characters long.

 AutoML Natural Language Classification

 `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. The default is 0.5.


 AutoML Vision Classification

 `score_threshold`
 : (float) A value from 0.0 to 1.0. When the model
 makes predictions for an image, it will only produce results that
 have at least this confidence score. The default is 0.5.

 AutoML Vision Object Detection

 `score_threshold`
 : (float) When Model detects objects 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) The maximum number of bounding
 boxes returned per image. The default is 100, the
 number of bounding boxes returned might be limited by the server.
 AutoML Video Intelligence 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.
 The default is false.

 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.

 `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. The default is false.

 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.

 AutoML Video Intelligence 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) The maximum number of bounding
 boxes returned per image. The default is 100, the
 number of bounding boxes returned might be limited by the server.

 `min_bounding_box_size`
 : (float) Only bounding boxes with shortest edge
 at least that long as a relative value of video frame size are
 returned. Value in 0 to 1 range. Default is 0.
      map<string, string> params = 5;
      Specified by:
      getParamsOrDefault in interface BatchPredictRequestOrBuilder

    • getParamsOrThrow

      public String getParamsOrThrow(String key)
       Additional domain-specific parameters for the predictions, any string must
 be up to 25000 characters long.

 AutoML Natural Language Classification

 `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. The default is 0.5.


 AutoML Vision Classification

 `score_threshold`
 : (float) A value from 0.0 to 1.0. When the model
 makes predictions for an image, it will only produce results that
 have at least this confidence score. The default is 0.5.

 AutoML Vision Object Detection

 `score_threshold`
 : (float) When Model detects objects 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) The maximum number of bounding
 boxes returned per image. The default is 100, the
 number of bounding boxes returned might be limited by the server.
 AutoML Video Intelligence 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.
 The default is false.

 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.

 `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. The default is false.

 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.

 AutoML Video Intelligence 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) The maximum number of bounding
 boxes returned per image. The default is 100, the
 number of bounding boxes returned might be limited by the server.

 `min_bounding_box_size`
 : (float) Only bounding boxes with shortest edge
 at least that long as a relative value of video frame size are
 returned. Value in 0 to 1 range. Default is 0.
      map<string, string> params = 5;
      Specified by:
      getParamsOrThrow in interface BatchPredictRequestOrBuilder

    • clearParams

      public BatchPredictRequest.Builder clearParams()

    • removeParams

      public BatchPredictRequest.Builder removeParams(String key)
       Additional domain-specific parameters for the predictions, any string must
 be up to 25000 characters long.

 AutoML Natural Language Classification

 `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. The default is 0.5.


 AutoML Vision Classification

 `score_threshold`
 : (float) A value from 0.0 to 1.0. When the model
 makes predictions for an image, it will only produce results that
 have at least this confidence score. The default is 0.5.

 AutoML Vision Object Detection

 `score_threshold`
 : (float) When Model detects objects 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) The maximum number of bounding
 boxes returned per image. The default is 100, the
 number of bounding boxes returned might be limited by the server.
 AutoML Video Intelligence 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.
 The default is false.

 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.

 `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. The default is false.

 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.

 AutoML Video Intelligence 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) The maximum number of bounding
 boxes returned per image. The default is 100, the
 number of bounding boxes returned might be limited by the server.

 `min_bounding_box_size`
 : (float) Only bounding boxes with shortest edge
 at least that long as a relative value of video frame size are
 returned. Value in 0 to 1 range. Default is 0.
      map<string, string> params = 5;

    • getMutableParams

      @Deprecated public Map<String,String> getMutableParams()
      Deprecated.
      Use alternate mutation accessors instead.

    • putParams

      public BatchPredictRequest.Builder putParams(String key, String value)
       Additional domain-specific parameters for the predictions, any string must
 be up to 25000 characters long.

 AutoML Natural Language Classification

 `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. The default is 0.5.


 AutoML Vision Classification

 `score_threshold`
 : (float) A value from 0.0 to 1.0. When the model
 makes predictions for an image, it will only produce results that
 have at least this confidence score. The default is 0.5.

 AutoML Vision Object Detection

 `score_threshold`
 : (float) When Model detects objects 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) The maximum number of bounding
 boxes returned per image. The default is 100, the
 number of bounding boxes returned might be limited by the server.
 AutoML Video Intelligence 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.
 The default is false.

 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.

 `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. The default is false.

 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.

 AutoML Video Intelligence 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) The maximum number of bounding
 boxes returned per image. The default is 100, the
 number of bounding boxes returned might be limited by the server.

 `min_bounding_box_size`
 : (float) Only bounding boxes with shortest edge
 at least that long as a relative value of video frame size are
 returned. Value in 0 to 1 range. Default is 0.
      map<string, string> params = 5;

    • putAllParams

      public BatchPredictRequest.Builder putAllParams(Map<String,String> values)
       Additional domain-specific parameters for the predictions, any string must
 be up to 25000 characters long.

 AutoML Natural Language Classification

 `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. The default is 0.5.


 AutoML Vision Classification

 `score_threshold`
 : (float) A value from 0.0 to 1.0. When the model
 makes predictions for an image, it will only produce results that
 have at least this confidence score. The default is 0.5.

 AutoML Vision Object Detection

 `score_threshold`
 : (float) When Model detects objects 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) The maximum number of bounding
 boxes returned per image. The default is 100, the
 number of bounding boxes returned might be limited by the server.
 AutoML Video Intelligence 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.
 The default is false.

 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.

 `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. The default is false.

 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.

 AutoML Video Intelligence 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) The maximum number of bounding
 boxes returned per image. The default is 100, the
 number of bounding boxes returned might be limited by the server.

 `min_bounding_box_size`
 : (float) Only bounding boxes with shortest edge
 at least that long as a relative value of video frame size are
 returned. Value in 0 to 1 range. Default is 0.
      map<string, string> params = 5;