Interface PredictRequestOrBuilder (2.13.0)

Version 2.13.0

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public interface PredictRequestOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

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.