ArmMachineLearningModelFactory.TextNer Method
Definition
Important
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Overloads
TextNer(Nullable<MachineLearningLogVerbosity>, MachineLearningTableJobInput, String, Nullable<ClassificationPrimaryMetric>, NlpVerticalLimitSettings, String, MachineLearningTableJobInput)
Initializes a new instance of TextNer.
public static Azure.ResourceManager.MachineLearning.Models.TextNer TextNer (Azure.ResourceManager.MachineLearning.Models.MachineLearningLogVerbosity? logVerbosity = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningTableJobInput trainingData = default, string targetColumnName = default, Azure.ResourceManager.MachineLearning.Models.ClassificationPrimaryMetric? primaryMetric = default, Azure.ResourceManager.MachineLearning.Models.NlpVerticalLimitSettings limitSettings = default, string featurizationDatasetLanguage = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningTableJobInput validationData = default);
static member TextNer : Nullable<Azure.ResourceManager.MachineLearning.Models.MachineLearningLogVerbosity> * Azure.ResourceManager.MachineLearning.Models.MachineLearningTableJobInput * string * Nullable<Azure.ResourceManager.MachineLearning.Models.ClassificationPrimaryMetric> * Azure.ResourceManager.MachineLearning.Models.NlpVerticalLimitSettings * string * Azure.ResourceManager.MachineLearning.Models.MachineLearningTableJobInput -> Azure.ResourceManager.MachineLearning.Models.TextNer
Public Shared Function TextNer (Optional logVerbosity As Nullable(Of MachineLearningLogVerbosity) = Nothing, Optional trainingData As MachineLearningTableJobInput = Nothing, Optional targetColumnName As String = Nothing, Optional primaryMetric As Nullable(Of ClassificationPrimaryMetric) = Nothing, Optional limitSettings As NlpVerticalLimitSettings = Nothing, Optional featurizationDatasetLanguage As String = Nothing, Optional validationData As MachineLearningTableJobInput = Nothing) As TextNer
Parameters
- logVerbosity
- Nullable<MachineLearningLogVerbosity>
Log verbosity for the job.
- trainingData
- MachineLearningTableJobInput
[Required] Training data input.
- targetColumnName
- String
Target column name: This is prediction values column. Also known as label column name in context of classification tasks.
- primaryMetric
- Nullable<ClassificationPrimaryMetric>
Primary metric for Text-NER task. Only 'Accuracy' is supported for Text-NER, so user need not set this explicitly.
- limitSettings
- NlpVerticalLimitSettings
Execution constraints for AutoMLJob.
- featurizationDatasetLanguage
- String
Featurization inputs needed for AutoML job.
- validationData
- MachineLearningTableJobInput
Validation data inputs.
Returns
A new TextNer instance for mocking.
Applies to
TextNer(Nullable<MachineLearningLogVerbosity>, String, MachineLearningTableJobInput, Nullable<ClassificationPrimaryMetric>, String, NlpFixedParameters, NlpVerticalLimitSettings, IEnumerable<NlpParameterSubspace>, NlpSweepSettings, MachineLearningTableJobInput)
Initializes a new instance of TextNer.
public static Azure.ResourceManager.MachineLearning.Models.TextNer TextNer (Azure.ResourceManager.MachineLearning.Models.MachineLearningLogVerbosity? logVerbosity = default, string targetColumnName = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningTableJobInput trainingData = default, Azure.ResourceManager.MachineLearning.Models.ClassificationPrimaryMetric? primaryMetric = default, string featurizationDatasetLanguage = default, Azure.ResourceManager.MachineLearning.Models.NlpFixedParameters fixedParameters = default, Azure.ResourceManager.MachineLearning.Models.NlpVerticalLimitSettings limitSettings = default, System.Collections.Generic.IEnumerable<Azure.ResourceManager.MachineLearning.Models.NlpParameterSubspace> searchSpace = default, Azure.ResourceManager.MachineLearning.Models.NlpSweepSettings sweepSettings = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningTableJobInput validationData = default);
static member TextNer : Nullable<Azure.ResourceManager.MachineLearning.Models.MachineLearningLogVerbosity> * string * Azure.ResourceManager.MachineLearning.Models.MachineLearningTableJobInput * Nullable<Azure.ResourceManager.MachineLearning.Models.ClassificationPrimaryMetric> * string * Azure.ResourceManager.MachineLearning.Models.NlpFixedParameters * Azure.ResourceManager.MachineLearning.Models.NlpVerticalLimitSettings * seq<Azure.ResourceManager.MachineLearning.Models.NlpParameterSubspace> * Azure.ResourceManager.MachineLearning.Models.NlpSweepSettings * Azure.ResourceManager.MachineLearning.Models.MachineLearningTableJobInput -> Azure.ResourceManager.MachineLearning.Models.TextNer
Public Shared Function TextNer (Optional logVerbosity As Nullable(Of MachineLearningLogVerbosity) = Nothing, Optional targetColumnName As String = Nothing, Optional trainingData As MachineLearningTableJobInput = Nothing, Optional primaryMetric As Nullable(Of ClassificationPrimaryMetric) = Nothing, Optional featurizationDatasetLanguage As String = Nothing, Optional fixedParameters As NlpFixedParameters = Nothing, Optional limitSettings As NlpVerticalLimitSettings = Nothing, Optional searchSpace As IEnumerable(Of NlpParameterSubspace) = Nothing, Optional sweepSettings As NlpSweepSettings = Nothing, Optional validationData As MachineLearningTableJobInput = Nothing) As TextNer
Parameters
- logVerbosity
- Nullable<MachineLearningLogVerbosity>
Log verbosity for the job.
- targetColumnName
- String
Target column name: This is prediction values column. Also known as label column name in context of classification tasks.
- trainingData
- MachineLearningTableJobInput
[Required] Training data input.
- primaryMetric
- Nullable<ClassificationPrimaryMetric>
Primary metric for Text-NER task. Only 'Accuracy' is supported for Text-NER, so user need not set this explicitly.
- featurizationDatasetLanguage
- String
Featurization inputs needed for AutoML job.
- fixedParameters
- NlpFixedParameters
Model/training parameters that will remain constant throughout training.
- limitSettings
- NlpVerticalLimitSettings
Execution constraints for AutoMLJob.
- searchSpace
- IEnumerable<NlpParameterSubspace>
Search space for sampling different combinations of models and their hyperparameters.
- sweepSettings
- NlpSweepSettings
Settings for model sweeping and hyperparameter tuning.
- validationData
- MachineLearningTableJobInput
Validation data inputs.
Returns
A new TextNer instance for mocking.