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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 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 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 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 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 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. |