SentenceSimilarityTrainer Class
Definition
Important
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The IEstimator<TTransformer> for training a Deep Neural Network(DNN) to classify text.
public class SentenceSimilarityTrainer : Microsoft.ML.TorchSharp.NasBert.NasBertTrainer<float,float>type SentenceSimilarityTrainer = class
inherit NasBertTrainer<single, single>Public Class SentenceSimilarityTrainer
Inherits NasBertTrainer(Of Single, Single)- Inheritance
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SentenceSimilarityTrainer
Remarks
To create this trainer, use TextClassification.
Input and Output Columns
The input label column data must be typeSingle type and the sentence columns must be of typeTextDataViewType.
This trainer outputs the following columns:
| Output Column Name | Column Type | Description |
|---|---|---|
Score |
Single | The degree of similarity between the 2 sentences. |
Trainer Characteristics
| Machine learning task | Rregression |
| Is normalization required? | No |
| Is caching required? | No |
| Required NuGet in addition to Microsoft.ML | Microsoft.ML.TorchSharp and libtorch-cpu or libtorch-cuda-11.3 or any of the OS specific variants. |
| Exportable to ONNX | No |
Training Algorithm Details
Trains a Deep Neural Network(DNN) by leveraging an existing pre-trained NAS-BERT roBERTa model for the purpose of determining sentence similarity.
Methods
| Fit(IDataView) | (Inherited from TorchSharpBaseTrainer<TLabelCol,TTargetsCol>) |
| GetOutputSchema(SchemaShape) | (Inherited from NasBertTrainer<TLabelCol,TTargetsCol>) |