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public interface PredictRequestOrBuilder extends MessageOrBuilder
Implements
MessageOrBuilderMethods
containsParams(String key)
public abstract 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
is populated in the returned list of
TablesAnnotation
objects. 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()
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.
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
is populated in the returned list of
TablesAnnotation
objects. 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.
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
is populated in the returned list of
TablesAnnotation
objects. 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.
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
is populated in the returned list of
TablesAnnotation
objects. 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.
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
is populated in the returned list of
TablesAnnotation
objects. 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.v1.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.v1.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.v1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED];
Returns | |
---|---|
Type | Description |
boolean | Whether the payload field is set. |