Package sentencepiece

Interface SentencepieceModel.ModelProtoOrBuilder

All Superinterfaces:

com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<SentencepieceModel.ModelProto>, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

SentencepieceModel.ModelProto, SentencepieceModel.ModelProto.Builder

Enclosing class:

SentencepieceModel

public static interface SentencepieceModel.ModelProtoOrBuilder
extends com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<SentencepieceModel.ModelProto>

Method Summary

Modifier and Type	Method	Description
SentencepieceModel.NormalizerSpec	getDenormalizerSpec()	Spec for text de-normalization.
SentencepieceModel.NormalizerSpecOrBuilder	getDenormalizerSpecOrBuilder()	Spec for text de-normalization.
SentencepieceModel.NormalizerSpec	getNormalizerSpec()	Spec for text normalization.
SentencepieceModel.NormalizerSpecOrBuilder	getNormalizerSpecOrBuilder()	Spec for text normalization.
SentencepieceModel.ModelProto.SentencePiece	getPieces(int index)	Sentence pieces with scores.
int	getPiecesCount()	Sentence pieces with scores.
java.util.List<SentencepieceModel.ModelProto.SentencePiece>	getPiecesList()	Sentence pieces with scores.
SentencepieceModel.ModelProto.SentencePieceOrBuilder	getPiecesOrBuilder(int index)	Sentence pieces with scores.
java.util.List<? extends SentencepieceModel.ModelProto.SentencePieceOrBuilder>	getPiecesOrBuilderList()	Sentence pieces with scores.
SentencepieceModel.SelfTestData	getSelfTestData()	Stores sample input and its expected segmentation to verify the model.
SentencepieceModel.SelfTestDataOrBuilder	getSelfTestDataOrBuilder()	Stores sample input and its expected segmentation to verify the model.
SentencepieceModel.TrainerSpec	getTrainerSpec()	Spec used to generate this model file.
SentencepieceModel.TrainerSpecOrBuilder	getTrainerSpecOrBuilder()	Spec used to generate this model file.
boolean	hasDenormalizerSpec()	Spec for text de-normalization.
boolean	hasNormalizerSpec()	Spec for text normalization.
boolean	hasSelfTestData()	Stores sample input and its expected segmentation to verify the model.
boolean	hasTrainerSpec()	Spec used to generate this model file.

Methods inherited from interface com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder

getDefaultInstanceForType, getExtension, getExtension, getExtension, getExtension, getExtension, getExtension, getExtensionCount, getExtensionCount, getExtensionCount, hasExtension, hasExtension, hasExtension

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Method Detail

getPiecesList

java.util.List<SentencepieceModel.ModelProto.SentencePiece> getPiecesList()

 Sentence pieces with scores.
 

repeated .sentencepiece.ModelProto.SentencePiece pieces = 1;

getPieces

SentencepieceModel.ModelProto.SentencePiece getPieces(int index)

 Sentence pieces with scores.
 

repeated .sentencepiece.ModelProto.SentencePiece pieces = 1;

getPiecesCount

int getPiecesCount()

 Sentence pieces with scores.
 

repeated .sentencepiece.ModelProto.SentencePiece pieces = 1;

getPiecesOrBuilderList

java.util.List<? extends SentencepieceModel.ModelProto.SentencePieceOrBuilder> getPiecesOrBuilderList()

 Sentence pieces with scores.
 

repeated .sentencepiece.ModelProto.SentencePiece pieces = 1;

getPiecesOrBuilder

SentencepieceModel.ModelProto.SentencePieceOrBuilder getPiecesOrBuilder(int index)

 Sentence pieces with scores.
 

repeated .sentencepiece.ModelProto.SentencePiece pieces = 1;

hasTrainerSpec

boolean hasTrainerSpec()

 Spec used to generate this model file.
 

optional .sentencepiece.TrainerSpec trainer_spec = 2;

Returns:

Whether the trainerSpec field is set.

getTrainerSpec

SentencepieceModel.TrainerSpec getTrainerSpec()

 Spec used to generate this model file.
 

optional .sentencepiece.TrainerSpec trainer_spec = 2;

Returns:

The trainerSpec.

getTrainerSpecOrBuilder

SentencepieceModel.TrainerSpecOrBuilder getTrainerSpecOrBuilder()

 Spec used to generate this model file.
 

optional .sentencepiece.TrainerSpec trainer_spec = 2;

hasNormalizerSpec

boolean hasNormalizerSpec()

 Spec for text normalization.
 

optional .sentencepiece.NormalizerSpec normalizer_spec = 3;

Returns:

Whether the normalizerSpec field is set.

getNormalizerSpec

SentencepieceModel.NormalizerSpec getNormalizerSpec()

 Spec for text normalization.
 

optional .sentencepiece.NormalizerSpec normalizer_spec = 3;

Returns:

The normalizerSpec.

getNormalizerSpecOrBuilder

SentencepieceModel.NormalizerSpecOrBuilder getNormalizerSpecOrBuilder()

 Spec for text normalization.
 

optional .sentencepiece.NormalizerSpec normalizer_spec = 3;

hasSelfTestData

boolean hasSelfTestData()

 Stores sample input and its expected segmentation to verify the model.
 

optional .sentencepiece.SelfTestData self_test_data = 4;

Returns:

Whether the selfTestData field is set.

getSelfTestData

SentencepieceModel.SelfTestData getSelfTestData()

 Stores sample input and its expected segmentation to verify the model.
 

optional .sentencepiece.SelfTestData self_test_data = 4;

Returns:

The selfTestData.

getSelfTestDataOrBuilder

SentencepieceModel.SelfTestDataOrBuilder getSelfTestDataOrBuilder()

 Stores sample input and its expected segmentation to verify the model.
 

optional .sentencepiece.SelfTestData self_test_data = 4;

hasDenormalizerSpec

boolean hasDenormalizerSpec()

 Spec for text de-normalization.
 

optional .sentencepiece.NormalizerSpec denormalizer_spec = 5;

Returns:

Whether the denormalizerSpec field is set.

getDenormalizerSpec

SentencepieceModel.NormalizerSpec getDenormalizerSpec()

 Spec for text de-normalization.
 

optional .sentencepiece.NormalizerSpec denormalizer_spec = 5;

Returns:

The denormalizerSpec.

getDenormalizerSpecOrBuilder

SentencepieceModel.NormalizerSpecOrBuilder getDenormalizerSpecOrBuilder()

 Spec for text de-normalization.
 

optional .sentencepiece.NormalizerSpec denormalizer_spec = 5;