- 2.51.0 (latest)
- 2.49.0
- 2.48.0
- 2.47.0
- 2.46.0
- 2.45.0
- 2.44.0
- 2.43.0
- 2.42.0
- 2.41.0
- 2.40.0
- 2.39.0
- 2.37.0
- 2.36.0
- 2.35.0
- 2.34.0
- 2.33.0
- 2.32.0
- 2.31.0
- 2.30.0
- 2.29.0
- 2.28.0
- 2.27.0
- 2.24.0
- 2.23.0
- 2.22.0
- 2.21.0
- 2.20.0
- 2.19.0
- 2.18.0
- 2.17.0
- 2.16.0
- 2.15.0
- 2.14.0
- 2.13.0
- 2.12.0
- 2.11.0
- 2.10.0
- 2.9.0
- 2.8.0
- 2.7.0
- 2.6.0
- 2.5.0
- 2.4.0
- 2.3.18
- 2.2.3
- 2.1.23
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;
| Parameter | |
|---|---|
| Name | Description |
key |
String |
| Returns | |
|---|---|
| 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) = { ... }
| Returns | |
|---|---|
| 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) = { ... }
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for name. |
getParams() (deprecated)
public abstract Map<String,String> getParams()Use #getParamsMap() instead.
| Returns | |
|---|---|
| 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;
| Returns | |
|---|---|
| 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;
| Returns | |
|---|---|
| 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;
| Parameters | |
|---|---|
| Name | Description |
key |
String |
defaultValue |
String |
| Returns | |
|---|---|
| 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;
| Parameter | |
|---|---|
| Name | Description |
key |
String |
| Returns | |
|---|---|
| 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];
| Returns | |
|---|---|
| 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];
| Returns | |
|---|---|
| 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];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the payload field is set. |