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# MLSoundClassifier.DataSource.featuresDataFrame(_:featureColumn:labelColumn:parameters:)

Creates a data source from a data frame of audio features.

```
case featuresDataFrame(DataFrame, featureColumn: String = __Defaults.featureColumnName, labelColumn: String = __Defaults.labelColumnName, parameters: MLSoundClassifier.FeatureExtractionParameters = FeatureExtractionParameters())
```

## Parameters

`dataFrame`

A data frame that contains labeled audio data.

`featureColumn`

The name of the column that contains the audio features.

`labelColumn`

The name of the column that contains the audio labels.

`parameters`

An [`MLSoundClassifier.FeatureExtractionParameters`](/documentation/CreateML/MLSoundClassifier/FeatureExtractionParameters) instance you use to configure the
feature-extraction phase.

## Discussion

Use [`extractFeatures(trainingData:parameters:sessionParameters:)`](/documentation/CreateML/MLSoundClassifier/extractFeatures(trainingData:parameters:sessionParameters:)) to create a
<doc://com.apple.documentation/documentation/TabularData/DataFrame> of audio features.

---

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