NerTrainer Class
Definition
Important
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The IEstimator<TTransformer> for training a Deep Neural Network(DNN) to classify text.
public class NerTrainer : Microsoft.ML.TorchSharp.NasBert.NasBertTrainer<Microsoft.ML.Data.VBuffer<uint>,Microsoft.ML.Data.VBuffer<long>>type NerTrainer = class
inherit NasBertTrainer<VBuffer<uint32>, VBuffer<int64>>Public Class NerTrainer
Inherits NasBertTrainer(Of VBuffer(Of UInteger), VBuffer(Of Long))- Inheritance
Remarks
To create this trainer, use NER.
Input and Output Columns
The input label column data must be a Vector of string type and the sentence columns must be of typeTextDataViewType.
This trainer outputs the following columns:
| Output Column Name | Column Type | Description |
|---|---|---|
PredictedLabel |
Vector of key type | The predicted label's index. If its value is i, the actual label would be the i-th category in the key-valued input label type. |
| -- | -- | |
| Machine learning task | Multiclass classification | |
| 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 named entity recognition.
Methods
| Fit(IDataView) | (Inherited from TorchSharpBaseTrainer<TLabelCol,TTargetsCol>) |
| GetOutputSchema(SchemaShape) | (Inherited from NasBertTrainer<TLabelCol,TTargetsCol>) |