Class BatchPredictRequest (2.42.0)

public final class BatchPredictRequest extends GeneratedMessageV3 implements BatchPredictRequestOrBuilder

Request message for PredictionService.BatchPredict.

Protobuf type google.cloud.automl.v1.BatchPredictRequest

Static Fields

INPUT_CONFIG_FIELD_NUMBER

public static final int INPUT_CONFIG_FIELD_NUMBER
Field Value
Type Description
int

NAME_FIELD_NUMBER

public static final int NAME_FIELD_NUMBER
Field Value
Type Description
int

OUTPUT_CONFIG_FIELD_NUMBER

public static final int OUTPUT_CONFIG_FIELD_NUMBER
Field Value
Type Description
int

PARAMS_FIELD_NUMBER

public static final int PARAMS_FIELD_NUMBER
Field Value
Type Description
int

Static Methods

getDefaultInstance()

public static BatchPredictRequest getDefaultInstance()
Returns
Type Description
BatchPredictRequest

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

newBuilder()

public static BatchPredictRequest.Builder newBuilder()
Returns
Type Description
BatchPredictRequest.Builder

newBuilder(BatchPredictRequest prototype)

public static BatchPredictRequest.Builder newBuilder(BatchPredictRequest prototype)
Parameter
Name Description
prototype BatchPredictRequest
Returns
Type Description
BatchPredictRequest.Builder

parseDelimitedFrom(InputStream input)

public static BatchPredictRequest parseDelimitedFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
BatchPredictRequest
Exceptions
Type Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static BatchPredictRequest parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
BatchPredictRequest
Exceptions
Type Description
IOException

parseFrom(byte[] data)

public static BatchPredictRequest parseFrom(byte[] data)
Parameter
Name Description
data byte[]
Returns
Type Description
BatchPredictRequest
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static BatchPredictRequest parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data byte[]
extensionRegistry ExtensionRegistryLite
Returns
Type Description
BatchPredictRequest
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static BatchPredictRequest parseFrom(ByteString data)
Parameter
Name Description
data ByteString
Returns
Type Description
BatchPredictRequest
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static BatchPredictRequest parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteString
extensionRegistry ExtensionRegistryLite
Returns
Type Description
BatchPredictRequest
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static BatchPredictRequest parseFrom(CodedInputStream input)
Parameter
Name Description
input CodedInputStream
Returns
Type Description
BatchPredictRequest
Exceptions
Type Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static BatchPredictRequest parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
BatchPredictRequest
Exceptions
Type Description
IOException

parseFrom(InputStream input)

public static BatchPredictRequest parseFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
BatchPredictRequest
Exceptions
Type Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static BatchPredictRequest parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
BatchPredictRequest
Exceptions
Type Description
IOException

parseFrom(ByteBuffer data)

public static BatchPredictRequest parseFrom(ByteBuffer data)
Parameter
Name Description
data ByteBuffer
Returns
Type Description
BatchPredictRequest
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static BatchPredictRequest parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteBuffer
extensionRegistry ExtensionRegistryLite
Returns
Type Description
BatchPredictRequest
Exceptions
Type Description
InvalidProtocolBufferException

parser()

public static Parser<BatchPredictRequest> parser()
Returns
Type Description
Parser<BatchPredictRequest>

Methods

containsParams(String key)

public boolean containsParams(String key)

Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.

AutoML Natural Language Classification

score_threshold : (float) A value from 0.0 to 1.0. When the model makes predictions for a text snippet, it will only produce results that have at least this confidence score. The default is 0.5.

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 per image. The default is 100, the number of bounding boxes returned might be limited by the server. AutoML Video Intelligence Classification

score_threshold : (float) A value from 0.0 to 1.0. When the model makes predictions for a video, it will only produce results that have at least this confidence score. The default is 0.5.

segment_classification : (boolean) Set to true to request segment-level classification. AutoML Video Intelligence returns labels and their confidence scores for the entire segment of the video that user specified in the request configuration. The default is true.

shot_classification : (boolean) Set to true to request shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. The default is false.

WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

1s_interval_classification : (boolean) Set to true to request classification for a video at one-second intervals. AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. The default is false.

WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

AutoML Video Intelligence Object Tracking

score_threshold : (float) When Model detects objects on video frames, 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 per image. The default is 100, the number of bounding boxes returned might be limited by the server.

min_bounding_box_size : (float) Only bounding boxes with shortest edge at least that long as a relative value of video frame size are returned. Value in 0 to 1 range. Default is 0.

map<string, string> params = 5;

Parameter
Name Description
key String
Returns
Type Description
boolean

equals(Object obj)

public boolean equals(Object obj)
Parameter
Name Description
obj Object
Returns
Type Description
boolean
Overrides

getDefaultInstanceForType()

public BatchPredictRequest getDefaultInstanceForType()
Returns
Type Description
BatchPredictRequest

getInputConfig()

public BatchPredictInputConfig getInputConfig()

Required. The input configuration for batch prediction.

.google.cloud.automl.v1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
BatchPredictInputConfig

The inputConfig.

getInputConfigOrBuilder()

public BatchPredictInputConfigOrBuilder getInputConfigOrBuilder()

Required. The input configuration for batch prediction.

.google.cloud.automl.v1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
BatchPredictInputConfigOrBuilder

getName()

public String getName()

Required. Name of the model requested to serve the batch prediction.

string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
Type Description
String

The name.

getNameBytes()

public ByteString getNameBytes()

Required. Name of the model requested to serve the batch prediction.

string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
Type Description
ByteString

The bytes for name.

getOutputConfig()

public BatchPredictOutputConfig getOutputConfig()

Required. The Configuration specifying where output predictions should be written.

.google.cloud.automl.v1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
BatchPredictOutputConfig

The outputConfig.

getOutputConfigOrBuilder()

public BatchPredictOutputConfigOrBuilder getOutputConfigOrBuilder()

Required. The Configuration specifying where output predictions should be written.

.google.cloud.automl.v1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
BatchPredictOutputConfigOrBuilder

getParams() (deprecated)

public Map<String,String> getParams()

Use #getParamsMap() instead.

Returns
Type Description
Map<String,String>

getParamsCount()

public int getParamsCount()

Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.

AutoML Natural Language Classification

score_threshold : (float) A value from 0.0 to 1.0. When the model makes predictions for a text snippet, it will only produce results that have at least this confidence score. The default is 0.5.

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 per image. The default is 100, the number of bounding boxes returned might be limited by the server. AutoML Video Intelligence Classification

score_threshold : (float) A value from 0.0 to 1.0. When the model makes predictions for a video, it will only produce results that have at least this confidence score. The default is 0.5.

segment_classification : (boolean) Set to true to request segment-level classification. AutoML Video Intelligence returns labels and their confidence scores for the entire segment of the video that user specified in the request configuration. The default is true.

shot_classification : (boolean) Set to true to request shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. The default is false.

WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

1s_interval_classification : (boolean) Set to true to request classification for a video at one-second intervals. AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. The default is false.

WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

AutoML Video Intelligence Object Tracking

score_threshold : (float) When Model detects objects on video frames, 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 per image. The default is 100, the number of bounding boxes returned might be limited by the server.

min_bounding_box_size : (float) Only bounding boxes with shortest edge at least that long as a relative value of video frame size are returned. Value in 0 to 1 range. Default is 0.

map<string, string> params = 5;

Returns
Type Description
int

getParamsMap()

public Map<String,String> getParamsMap()

Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.

AutoML Natural Language Classification

score_threshold : (float) A value from 0.0 to 1.0. When the model makes predictions for a text snippet, it will only produce results that have at least this confidence score. The default is 0.5.

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 per image. The default is 100, the number of bounding boxes returned might be limited by the server. AutoML Video Intelligence Classification

score_threshold : (float) A value from 0.0 to 1.0. When the model makes predictions for a video, it will only produce results that have at least this confidence score. The default is 0.5.

segment_classification : (boolean) Set to true to request segment-level classification. AutoML Video Intelligence returns labels and their confidence scores for the entire segment of the video that user specified in the request configuration. The default is true.

shot_classification : (boolean) Set to true to request shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. The default is false.

WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

1s_interval_classification : (boolean) Set to true to request classification for a video at one-second intervals. AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. The default is false.

WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

AutoML Video Intelligence Object Tracking

score_threshold : (float) When Model detects objects on video frames, 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 per image. The default is 100, the number of bounding boxes returned might be limited by the server.

min_bounding_box_size : (float) Only bounding boxes with shortest edge at least that long as a relative value of video frame size are returned. Value in 0 to 1 range. Default is 0.

map<string, string> params = 5;

Returns
Type Description
Map<String,String>

getParamsOrDefault(String key, String defaultValue)

public String getParamsOrDefault(String key, String defaultValue)

Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.

AutoML Natural Language Classification

score_threshold : (float) A value from 0.0 to 1.0. When the model makes predictions for a text snippet, it will only produce results that have at least this confidence score. The default is 0.5.

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 per image. The default is 100, the number of bounding boxes returned might be limited by the server. AutoML Video Intelligence Classification

score_threshold : (float) A value from 0.0 to 1.0. When the model makes predictions for a video, it will only produce results that have at least this confidence score. The default is 0.5.

segment_classification : (boolean) Set to true to request segment-level classification. AutoML Video Intelligence returns labels and their confidence scores for the entire segment of the video that user specified in the request configuration. The default is true.

shot_classification : (boolean) Set to true to request shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. The default is false.

WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

1s_interval_classification : (boolean) Set to true to request classification for a video at one-second intervals. AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. The default is false.

WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

AutoML Video Intelligence Object Tracking

score_threshold : (float) When Model detects objects on video frames, 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 per image. The default is 100, the number of bounding boxes returned might be limited by the server.

min_bounding_box_size : (float) Only bounding boxes with shortest edge at least that long as a relative value of video frame size are returned. Value in 0 to 1 range. Default is 0.

map<string, string> params = 5;

Parameters
Name Description
key String
defaultValue String
Returns
Type Description
String

getParamsOrThrow(String key)

public String getParamsOrThrow(String key)

Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.

AutoML Natural Language Classification

score_threshold : (float) A value from 0.0 to 1.0. When the model makes predictions for a text snippet, it will only produce results that have at least this confidence score. The default is 0.5.

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 per image. The default is 100, the number of bounding boxes returned might be limited by the server. AutoML Video Intelligence Classification

score_threshold : (float) A value from 0.0 to 1.0. When the model makes predictions for a video, it will only produce results that have at least this confidence score. The default is 0.5.

segment_classification : (boolean) Set to true to request segment-level classification. AutoML Video Intelligence returns labels and their confidence scores for the entire segment of the video that user specified in the request configuration. The default is true.

shot_classification : (boolean) Set to true to request shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. The default is false.

WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

1s_interval_classification : (boolean) Set to true to request classification for a video at one-second intervals. AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. The default is false.

WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

AutoML Video Intelligence Object Tracking

score_threshold : (float) When Model detects objects on video frames, 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 per image. The default is 100, the number of bounding boxes returned might be limited by the server.

min_bounding_box_size : (float) Only bounding boxes with shortest edge at least that long as a relative value of video frame size are returned. Value in 0 to 1 range. Default is 0.

map<string, string> params = 5;

Parameter
Name Description
key String
Returns
Type Description
String

getParserForType()

public Parser<BatchPredictRequest> getParserForType()
Returns
Type Description
Parser<BatchPredictRequest>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
Type Description
int
Overrides

hasInputConfig()

public boolean hasInputConfig()

Required. The input configuration for batch prediction.

.google.cloud.automl.v1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
boolean

Whether the inputConfig field is set.

hasOutputConfig()

public boolean hasOutputConfig()

Required. The Configuration specifying where output predictions should be written.

.google.cloud.automl.v1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
boolean

Whether the outputConfig field is set.

hashCode()

public int hashCode()
Returns
Type Description
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

internalGetMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
Parameter
Name Description
number int
Returns
Type Description
com.google.protobuf.MapFieldReflectionAccessor
Overrides
com.google.protobuf.GeneratedMessageV3.internalGetMapFieldReflection(int)

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

newBuilderForType()

public BatchPredictRequest.Builder newBuilderForType()
Returns
Type Description
BatchPredictRequest.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected BatchPredictRequest.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Returns
Type Description
BatchPredictRequest.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Name Description
unused UnusedPrivateParameter
Returns
Type Description
Object
Overrides

toBuilder()

public BatchPredictRequest.Builder toBuilder()
Returns
Type Description
BatchPredictRequest.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
Name Description
output CodedOutputStream
Overrides
Exceptions
Type Description
IOException