Interface PredictRequestOrBuilder

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.

  • 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
NameDescription
keyString
Returns
TypeDescription
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
TypeDescription
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
TypeDescription
ByteString

The bytes for name.

getParams()

public abstract Map<String,String> getParams()

Use #getParamsMap() instead.

Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
NameDescription
keyString
defaultValueString
Returns
TypeDescription
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
NameDescription
keyString
Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
boolean

Whether the payload field is set.