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public interface PredictRequestOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
containsParams(String key)
public abstract boolean containsParams(String key)Additional domain-specific parameters, any string must be up to 25000 characters long.
- For Image 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.- For Image 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) 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.
- For Image Object Detection:
- For Tables: feature_imp<span>ortan</span>ce - (boolean) Whether feature importance should be populated in the returned TablesAnnotation. The default is false.
map<string, string> params = 3;
| Name | Description |
| key | String |
| Type | Description |
| boolean |
getName()
public abstract String getName()Required. Name of the model requested to serve the prediction.
string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
| Type | Description |
| String | The name. |
getNameBytes()
public abstract ByteString getNameBytes()Required. Name of the model requested to serve the prediction.
string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
| Type | Description |
| ByteString | The bytes for name. |
getParams()
public abstract Map<String,String> getParams()Use #getParamsMap() instead.
| Type | Description |
| Map<String,String> |
getParamsCount()
public abstract int getParamsCount()Additional domain-specific parameters, any string must be up to 25000 characters long.
- For Image 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.- For Image 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) 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.
- For Image Object Detection:
- For Tables: feature_imp<span>ortan</span>ce - (boolean) Whether feature importance should be populated in the returned TablesAnnotation. The default is false.
map<string, string> params = 3;
| Type | Description |
| int |
getParamsMap()
public abstract Map<String,String> getParamsMap()Additional domain-specific parameters, any string must be up to 25000 characters long.
- For Image 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.- For Image 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) 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.
- For Image Object Detection:
- For Tables: feature_imp<span>ortan</span>ce - (boolean) Whether feature importance should be populated in the returned TablesAnnotation. The default is false.
map<string, string> params = 3;
| Type | Description |
| Map<String,String> |
getParamsOrDefault(String key, String defaultValue)
public abstract String getParamsOrDefault(String key, String defaultValue)Additional domain-specific parameters, any string must be up to 25000 characters long.
- For Image 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.- For Image 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) 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.
- For Image Object Detection:
- For Tables: feature_imp<span>ortan</span>ce - (boolean) Whether feature importance should be populated in the returned TablesAnnotation. The default is false.
map<string, string> params = 3;
| Name | Description |
| key | String |
| defaultValue | String |
| Type | Description |
| String |
getParamsOrThrow(String key)
public abstract String getParamsOrThrow(String key)Additional domain-specific parameters, any string must be up to 25000 characters long.
- For Image 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.- For Image 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) 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.
- For Image Object Detection:
- For Tables: feature_imp<span>ortan</span>ce - (boolean) Whether feature importance should be populated in the returned TablesAnnotation. The default is false.
map<string, string> params = 3;
| Name | Description |
| key | String |
| Type | Description |
| String |
getPayload()
public abstract 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.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| ExamplePayload | The payload. |
getPayloadOrBuilder()
public abstract 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.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| ExamplePayloadOrBuilder |
hasPayload()
public abstract 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.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| boolean | Whether the payload field is set. |