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

Creates an asynchronous training session for an activity classifier.

```
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 `MLActivityClassifier/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.

---

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