Package com.google.cloud.automl.v1

Interface PredictRequestOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
PredictRequest, PredictRequest.Builder
@Generated public interface PredictRequestOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    Modifier and Type
    Method
    Description
    boolean
    containsParams(String key)
    Additional domain-specific parameters, any string must be up to 25000 characters long.
    String
    getName()
    Required.
    com.google.protobuf.ByteString
    getNameBytes()
    Required.
    Map<String,String>
    getParams()
    Deprecated.
    int
    getParamsCount()
    Additional domain-specific parameters, any string must be up to 25000 characters long.
    Map<String,String>
    getParamsMap()
    Additional domain-specific parameters, any string must be up to 25000 characters long.
    String
    getParamsOrDefault(String key, String defaultValue)
    Additional domain-specific parameters, any string must be up to 25000 characters long.
    String
    getParamsOrThrow(String key)
    Additional domain-specific parameters, any string must be up to 25000 characters long.
    ExamplePayload
    getPayload()
    Required.
    ExamplePayloadOrBuilder
    getPayloadOrBuilder()
    Required.
    boolean
    hasPayload()
    Required.

    Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

    isInitialized

    Methods inherited from interface com.google.protobuf.MessageOrBuilder

    findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

  • Method Details

    • getName

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

    • getNameBytes

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

    • hasPayload

      boolean hasPayload()
       Required. Payload to perform a prediction on. The payload must match the
 problem type that the model was trained to solve.
      .google.cloud.automl.v1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED];
      Returns:
      Whether the payload field is set.

    • getPayload

      ExamplePayload getPayload()
       Required. Payload to perform a prediction on. The payload must match the
 problem type that the model was trained to solve.
      .google.cloud.automl.v1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED];
      Returns:
      The payload.

    • getPayloadOrBuilder

      ExamplePayloadOrBuilder getPayloadOrBuilder()
       Required. Payload to perform a prediction on. The payload must match the
 problem type that the model was trained to solve.
      .google.cloud.automl.v1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED];

    • getParamsCount

      int getParamsCount()
       Additional domain-specific parameters, any string must be up to 25000
 characters long.

 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. The default is 100. The
 number of returned bounding boxes might be limited by the server.

 AutoML Tables

 `feature_importance`
 : (boolean) Whether
 [feature_importance][google.cloud.automl.v1.TablesModelColumnInfo.feature_importance]
 is populated in the returned list of
 [TablesAnnotation][google.cloud.automl.v1.TablesAnnotation]
 objects. The default is false.
      map<string, string> params = 3;

    • containsParams

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

 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. The default is 100. The
 number of returned bounding boxes might be limited by the server.

 AutoML Tables

 `feature_importance`
 : (boolean) Whether
 [feature_importance][google.cloud.automl.v1.TablesModelColumnInfo.feature_importance]
 is populated in the returned list of
 [TablesAnnotation][google.cloud.automl.v1.TablesAnnotation]
 objects. The default is false.
      map<string, string> params = 3;

    • getParams

      @Deprecated Map<String,String> getParams()
      Deprecated.
      Use getParamsMap() instead.

    • getParamsMap

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

 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. The default is 100. The
 number of returned bounding boxes might be limited by the server.

 AutoML Tables

 `feature_importance`
 : (boolean) Whether
 [feature_importance][google.cloud.automl.v1.TablesModelColumnInfo.feature_importance]
 is populated in the returned list of
 [TablesAnnotation][google.cloud.automl.v1.TablesAnnotation]
 objects. The default is false.
      map<string, string> params = 3;

    • getParamsOrDefault

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

 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. The default is 100. The
 number of returned bounding boxes might be limited by the server.

 AutoML Tables

 `feature_importance`
 : (boolean) Whether
 [feature_importance][google.cloud.automl.v1.TablesModelColumnInfo.feature_importance]
 is populated in the returned list of
 [TablesAnnotation][google.cloud.automl.v1.TablesAnnotation]
 objects. The default is false.
      map<string, string> params = 3;

    • getParamsOrThrow

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

 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. The default is 100. The
 number of returned bounding boxes might be limited by the server.

 AutoML Tables

 `feature_importance`
 : (boolean) Whether
 [feature_importance][google.cloud.automl.v1.TablesModelColumnInfo.feature_importance]
 is populated in the returned list of
 [TablesAnnotation][google.cloud.automl.v1.TablesAnnotation]
 objects. The default is false.
      map<string, string> params = 3;