public interface PredictRequestOrBuilder
extends com.google.protobuf.MessageOrBuilder
| Modifier and Type | Method and 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.
|
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneofString getName()
Required. Name of the model requested to serve the prediction.
string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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) = { ... }
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];
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];
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];
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;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;@Deprecated Map<String,String> getParams()
getParamsMap() instead.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;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;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;Copyright © 2025 Google LLC. All rights reserved.