다음을 통해 공유


TorchSharpCatalog.NameEntityRecognition 메서드

정의

오버로드

NameEntityRecognition(MulticlassClassificationCatalog+MulticlassClassificationTrainers, NerTrainer+NerOptions)
사용되지 않음.

사용되지 않음: 대신 메서드를 NamedEntityRecognition(MulticlassClassificationCatalog+MulticlassClassificationTrainers, NerTrainer+NerOptions) 사용하세요.

NameEntityRecognition(MulticlassClassificationCatalog+MulticlassClassificationTrainers, String, String, String, Int32, Int32, BertArchitecture, IDataView)
사용되지 않음.

사용되지 않음: 대신 메서드를 NamedEntityRecognition(MulticlassClassificationCatalog+MulticlassClassificationTrainers, String, String, String, Int32, Int32, BertArchitecture, IDataView) 사용하세요.

NameEntityRecognition(MulticlassClassificationCatalog+MulticlassClassificationTrainers, NerTrainer+NerOptions)

Source:
TorchSharpCatalog.cs
Source:
TorchSharpCatalog.cs
Source:
TorchSharpCatalog.cs

주의

Please use NamedEntityRecognition method instead

[System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)]
[System.Obsolete("Please use NamedEntityRecognition method instead", false)]
public static Microsoft.ML.TorchSharp.NasBert.NerTrainer NameEntityRecognition(this Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers catalog, Microsoft.ML.TorchSharp.NasBert.NerTrainer.NerOptions options);
[<System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)>]
[<System.Obsolete("Please use NamedEntityRecognition method instead", false)>]
static member NameEntityRecognition : Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers * Microsoft.ML.TorchSharp.NasBert.NerTrainer.NerOptions -> Microsoft.ML.TorchSharp.NasBert.NerTrainer
<Extension()>
Public Function NameEntityRecognition (catalog As MulticlassClassificationCatalog.MulticlassClassificationTrainers, options As NerTrainer.NerOptions) As NerTrainer

매개 변수

catalog
MulticlassClassificationCatalog.MulticlassClassificationTrainers

변환의 카탈로그입니다.

options
NerTrainer.NerOptions

고급 옵션의 전체 집합입니다.

반환

특성

적용 대상

NameEntityRecognition(MulticlassClassificationCatalog+MulticlassClassificationTrainers, String, String, String, Int32, Int32, BertArchitecture, IDataView)

Source:
TorchSharpCatalog.cs
Source:
TorchSharpCatalog.cs
Source:
TorchSharpCatalog.cs

주의

Please use NamedEntityRecognition method instead

[System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)]
[System.Obsolete("Please use NamedEntityRecognition method instead", false)]
public static Microsoft.ML.TorchSharp.NasBert.NerTrainer NameEntityRecognition(this Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers catalog, string labelColumnName = "Label", string outputColumnName = "PredictedLabel", string sentence1ColumnName = "Sentence", int batchSize = 32, int maxEpochs = 10, Microsoft.ML.TorchSharp.NasBert.BertArchitecture architecture = Microsoft.ML.TorchSharp.NasBert.BertArchitecture.Roberta, Microsoft.ML.IDataView validationSet = default);
[<System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)>]
[<System.Obsolete("Please use NamedEntityRecognition method instead", false)>]
static member NameEntityRecognition : Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers * string * string * string * int * int * Microsoft.ML.TorchSharp.NasBert.BertArchitecture * Microsoft.ML.IDataView -> Microsoft.ML.TorchSharp.NasBert.NerTrainer
<Extension()>
Public Function NameEntityRecognition (catalog As MulticlassClassificationCatalog.MulticlassClassificationTrainers, Optional labelColumnName As String = "Label", Optional outputColumnName As String = "PredictedLabel", Optional sentence1ColumnName As String = "Sentence", Optional batchSize As Integer = 32, Optional maxEpochs As Integer = 10, Optional architecture As BertArchitecture = Microsoft.ML.TorchSharp.NasBert.BertArchitecture.Roberta, Optional validationSet As IDataView = Nothing) As NerTrainer

매개 변수

catalog
MulticlassClassificationCatalog.MulticlassClassificationTrainers

변환의 카탈로그입니다.

labelColumnName
String

레이블 열의 이름입니다. 열은 키 형식이어야 합니다.

outputColumnName
String

출력 열의 이름입니다. 키 형식이 됩니다. 예측된 레이블입니다.

sentence1ColumnName
String

첫 번째 문장의 열 이름입니다.

batchSize
Int32

일괄 처리의 행 수입니다.

maxEpochs
Int32

학습 집합을 반복할 최대 횟수입니다.

architecture
BertArchitecture

모델에 대한 아키텍처입니다. 기본값은 Roberta입니다.

validationSet
IDataView

모델 품질을 개선하기 위해 학습하는 동안 사용되는 유효성 검사 집합입니다.

반환

특성

적용 대상