public final class BatchPredictRequest extends com.google.protobuf.GeneratedMessageV3 implements BatchPredictRequestOrBuilder
Request message for [PredictionService.BatchPredict][google.cloud.automl.v1.PredictionService.BatchPredict].Protobuf type
google.cloud.automl.v1.BatchPredictRequest| Modifier and Type | Class and Description |
|---|---|
static class |
BatchPredictRequest.Builder
Request message for [PredictionService.BatchPredict][google.cloud.automl.v1.PredictionService.BatchPredict].
|
com.google.protobuf.GeneratedMessageV3.BuilderParent, com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>,BuilderT extends com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT,BuilderT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.FieldAccessorTable, com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter| Modifier and Type | Field and Description |
|---|---|
static int |
INPUT_CONFIG_FIELD_NUMBER |
static int |
NAME_FIELD_NUMBER |
static int |
OUTPUT_CONFIG_FIELD_NUMBER |
static int |
PARAMS_FIELD_NUMBER |
| Modifier and Type | Method and Description |
|---|---|
boolean |
containsParams(String key)
Additional domain-specific parameters for the predictions, any string must
be up to 25000 characters long.
|
boolean |
equals(Object obj) |
static BatchPredictRequest |
getDefaultInstance() |
BatchPredictRequest |
getDefaultInstanceForType() |
static com.google.protobuf.Descriptors.Descriptor |
getDescriptor() |
BatchPredictInputConfig |
getInputConfig()
Required.
|
BatchPredictInputConfigOrBuilder |
getInputConfigOrBuilder()
Required.
|
String |
getName()
Required.
|
com.google.protobuf.ByteString |
getNameBytes()
Required.
|
BatchPredictOutputConfig |
getOutputConfig()
Required.
|
BatchPredictOutputConfigOrBuilder |
getOutputConfigOrBuilder()
Required.
|
Map<String,String> |
getParams()
Deprecated.
|
int |
getParamsCount()
Additional domain-specific parameters for the predictions, any string must
be up to 25000 characters long.
|
Map<String,String> |
getParamsMap()
Additional domain-specific parameters for the predictions, any string must
be up to 25000 characters long.
|
String |
getParamsOrDefault(String key,
String defaultValue)
Additional domain-specific parameters for the predictions, any string must
be up to 25000 characters long.
|
String |
getParamsOrThrow(String key)
Additional domain-specific parameters for the predictions, any string must
be up to 25000 characters long.
|
com.google.protobuf.Parser<BatchPredictRequest> |
getParserForType() |
int |
getSerializedSize() |
int |
hashCode() |
boolean |
hasInputConfig()
Required.
|
boolean |
hasOutputConfig()
Required.
|
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
protected com.google.protobuf.MapFieldReflectionAccessor |
internalGetMapFieldReflection(int number) |
boolean |
isInitialized() |
static BatchPredictRequest.Builder |
newBuilder() |
static BatchPredictRequest.Builder |
newBuilder(BatchPredictRequest prototype) |
BatchPredictRequest.Builder |
newBuilderForType() |
protected BatchPredictRequest.Builder |
newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) |
protected Object |
newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused) |
static BatchPredictRequest |
parseDelimitedFrom(InputStream input) |
static BatchPredictRequest |
parseDelimitedFrom(InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static BatchPredictRequest |
parseFrom(byte[] data) |
static BatchPredictRequest |
parseFrom(byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static BatchPredictRequest |
parseFrom(ByteBuffer data) |
static BatchPredictRequest |
parseFrom(ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static BatchPredictRequest |
parseFrom(com.google.protobuf.ByteString data) |
static BatchPredictRequest |
parseFrom(com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static BatchPredictRequest |
parseFrom(com.google.protobuf.CodedInputStream input) |
static BatchPredictRequest |
parseFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static BatchPredictRequest |
parseFrom(InputStream input) |
static BatchPredictRequest |
parseFrom(InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static com.google.protobuf.Parser<BatchPredictRequest> |
parser() |
BatchPredictRequest.Builder |
toBuilder() |
void |
writeTo(com.google.protobuf.CodedOutputStream output) |
canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, isStringEmpty, makeExtensionsImmutable, makeMutableCopy, makeMutableCopy, mergeFromAndMakeImmutableInternal, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTagfindInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toStringaddAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeToclone, finalize, getClass, notify, notifyAll, wait, wait, waitpublic static final int NAME_FIELD_NUMBER
public static final int INPUT_CONFIG_FIELD_NUMBER
public static final int OUTPUT_CONFIG_FIELD_NUMBER
public static final int PARAMS_FIELD_NUMBER
protected Object newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
newInstance in class com.google.protobuf.GeneratedMessageV3public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
internalGetMapFieldReflection in class com.google.protobuf.GeneratedMessageV3protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3public 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) = { ... }
getName in interface BatchPredictRequestOrBuilderpublic com.google.protobuf.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) = { ... }
getNameBytes in interface BatchPredictRequestOrBuilderpublic boolean hasInputConfig()
Required. The input configuration for batch prediction.
.google.cloud.automl.v1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];
hasInputConfig in interface BatchPredictRequestOrBuilderpublic BatchPredictInputConfig getInputConfig()
Required. The input configuration for batch prediction.
.google.cloud.automl.v1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];
getInputConfig in interface BatchPredictRequestOrBuilderpublic BatchPredictInputConfigOrBuilder getInputConfigOrBuilder()
Required. The input configuration for batch prediction.
.google.cloud.automl.v1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];
getInputConfigOrBuilder in interface BatchPredictRequestOrBuilderpublic 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];
hasOutputConfig in interface BatchPredictRequestOrBuilderpublic 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];
getOutputConfig in interface BatchPredictRequestOrBuilderpublic 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];
getOutputConfigOrBuilder in interface BatchPredictRequestOrBuilderpublic int getParamsCount()
BatchPredictRequestOrBuilderAdditional 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;getParamsCount in interface BatchPredictRequestOrBuilderpublic 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;containsParams in interface BatchPredictRequestOrBuilder@Deprecated public Map<String,String> getParams()
getParamsMap() instead.getParams in interface BatchPredictRequestOrBuilderpublic 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;getParamsMap in interface BatchPredictRequestOrBuilderpublic 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;getParamsOrDefault in interface BatchPredictRequestOrBuilderpublic 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;getParamsOrThrow in interface BatchPredictRequestOrBuilderpublic final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3public void writeTo(com.google.protobuf.CodedOutputStream output)
throws IOException
writeTo in interface com.google.protobuf.MessageLitewriteTo in class com.google.protobuf.GeneratedMessageV3IOExceptionpublic int getSerializedSize()
getSerializedSize in interface com.google.protobuf.MessageLitegetSerializedSize in class com.google.protobuf.GeneratedMessageV3public boolean equals(Object obj)
equals in interface com.google.protobuf.Messageequals in class com.google.protobuf.AbstractMessagepublic int hashCode()
hashCode in interface com.google.protobuf.MessagehashCode in class com.google.protobuf.AbstractMessagepublic static BatchPredictRequest parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static BatchPredictRequest parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static BatchPredictRequest parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static BatchPredictRequest parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static BatchPredictRequest parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static BatchPredictRequest parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static BatchPredictRequest parseFrom(InputStream input) throws IOException
IOExceptionpublic static BatchPredictRequest parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic static BatchPredictRequest parseDelimitedFrom(InputStream input) throws IOException
IOExceptionpublic static BatchPredictRequest parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic static BatchPredictRequest parseFrom(com.google.protobuf.CodedInputStream input) throws IOException
IOExceptionpublic static BatchPredictRequest parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic BatchPredictRequest.Builder newBuilderForType()
newBuilderForType in interface com.google.protobuf.MessagenewBuilderForType in interface com.google.protobuf.MessageLitepublic static BatchPredictRequest.Builder newBuilder()
public static BatchPredictRequest.Builder newBuilder(BatchPredictRequest prototype)
public BatchPredictRequest.Builder toBuilder()
toBuilder in interface com.google.protobuf.MessagetoBuilder in interface com.google.protobuf.MessageLiteprotected BatchPredictRequest.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
newBuilderForType in class com.google.protobuf.GeneratedMessageV3public static BatchPredictRequest getDefaultInstance()
public static com.google.protobuf.Parser<BatchPredictRequest> parser()
public com.google.protobuf.Parser<BatchPredictRequest> getParserForType()
getParserForType in interface com.google.protobuf.MessagegetParserForType in interface com.google.protobuf.MessageLitegetParserForType in class com.google.protobuf.GeneratedMessageV3public BatchPredictRequest getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderCopyright © 2025 Google LLC. All rights reserved.