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TorchSharpCatalog.NameEntityRecognition Methode

Definition

Überlädt

NameEntityRecognition(MulticlassClassificationCatalog+MulticlassClassificationTrainers, NerTrainer+NerOptions)
Veraltet.

Veraltet: Verwenden Sie stattdessen die NamedEntityRecognition(MulticlassClassificationCatalog+MulticlassClassificationTrainers, NerTrainer+NerOptions) -Methode.

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

Veraltet: Verwenden Sie stattdessen die NamedEntityRecognition(MulticlassClassificationCatalog+MulticlassClassificationTrainers, String, String, String, Int32, Int32, BertArchitecture, IDataView) -Methode.

NameEntityRecognition(MulticlassClassificationCatalog+MulticlassClassificationTrainers, NerTrainer+NerOptions)

Quelle:
TorchSharpCatalog.cs
Quelle:
TorchSharpCatalog.cs
Quelle:
TorchSharpCatalog.cs

Achtung

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

Parameter

options
NerTrainer.NerOptions

Der vollständige Satz erweiterter Optionen.

Gibt zurück

Attribute

Gilt für:

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

Quelle:
TorchSharpCatalog.cs
Quelle:
TorchSharpCatalog.cs
Quelle:
TorchSharpCatalog.cs

Achtung

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

Parameter

labelColumnName
String

Name der Bezeichnungsspalte. Die Spalte sollte ein Schlüsseltyp sein.

outputColumnName
String

Name der Ausgabespalte. Es wird ein Schlüsseltyp sein. Es ist die vorhergesagte Bezeichnung.

sentence1ColumnName
String

Name der Spalte für den ersten Satz.

batchSize
Int32

Die Anzahl von Zeilen im Batch.

maxEpochs
Int32

Maximale Anzahl von Schleifen durch Ihren Trainingssatz.

architecture
BertArchitecture

Architektur für das Modell. Der Standardwert ist Roberta.

validationSet
IDataView

Der Validierungssatz, der während des Trainings verwendet wird, um die Modellqualität zu verbessern.

Gibt zurück

Attribute

Gilt für: