SymbolicSgdLogisticRegressionBinaryTrainer.Fit Method
Definition
Important
Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.
Continues the training of SymbolicSgdLogisticRegressionBinaryTrainer using an already trained modelParameters
a Microsoft.ML.Data.BinaryPredictionTransformer.
public Microsoft.ML.Data.BinaryPredictionTransformer<Microsoft.ML.Calibrators.CalibratedModelParametersBase<Microsoft.ML.Trainers.LinearBinaryModelParameters,Microsoft.ML.Calibrators.PlattCalibrator>> Fit (Microsoft.ML.IDataView trainData, Microsoft.ML.Trainers.LinearModelParameters modelParameters);
override this.Fit : Microsoft.ML.IDataView * Microsoft.ML.Trainers.LinearModelParameters -> Microsoft.ML.Data.BinaryPredictionTransformer<Microsoft.ML.Calibrators.CalibratedModelParametersBase<Microsoft.ML.Trainers.LinearBinaryModelParameters, Microsoft.ML.Calibrators.PlattCalibrator>>
Public Function Fit (trainData As IDataView, modelParameters As LinearModelParameters) As BinaryPredictionTransformer(Of CalibratedModelParametersBase(Of LinearBinaryModelParameters, PlattCalibrator))
Parameters
- trainData
- IDataView
- modelParameters
- LinearModelParameters
Returns
BinaryPredictionTransformer<CalibratedModelParametersBase<LinearBinaryModelParameters,PlattCalibrator>>
Applies to
الملاحظات
https://aka.ms/ContentUserFeedback.
قريبًا: خلال عام 2024، سنتخلص تدريجيًا من GitHub Issues بوصفها آلية إرسال ملاحظات للمحتوى ونستبدلها بنظام ملاحظات جديد. لمزيد من المعلومات، راجعإرسال الملاحظات وعرضها المتعلقة بـ