makeTrainingSession(trainingData:featureColumns:labelColumn:recordingFileColumn:parameters:sessionParameters:)

Declaration

static func makeTrainingSession(trainingData: MLDataTable, featureColumns: [String], labelColumn: String, recordingFileColumn: String, parameters: MLActivityClassifier.ModelParameters = ModelParameters(validationData: nil), sessionParameters: MLTrainingSessionParameters = _defaultSessionParameters) throws -> MLTrainingSession<MLActivityClassifier>

Parameters

• trainingData:

  An Mldatatable instance that contains a collection of sensor data that groups data entries by activity label.

• featureColumns:

  The names of the columns in the data table that contain sensor data.

• labelColumn:

  The name of the column in the data table that contains activity labels.

• recordingFileColumn:

  The name of the column in the data table that contains data filenames.

• parameters:

  An Modelparameters Swift.struct instance you use to configure the model for the training session.

• sessionParameters:

  An Mltrainingsessionparameters instance you use to configure the training session.

Return Value

An MLTrainingSession that represents the activity classifier training session.