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

Declaration

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 Featureextractionparameters instance you use to configure the feature-extraction phase.

Discussion

Use extractFeatures(trainingData:parameters:sessionParameters:) to create a DataFrame of audio features.

See Also

Creating a data source

• MLSoundClassifier.DataSource.labeledDirectories(at:)
• MLSoundClassifier.DataSource.labeledFiles(at:)
• MLSoundClassifier.DataSource.filesByLabel(_:)
• MLSoundClassifier.DataSource.features(table:featureColumn:labelColumn:parameters:)
• MLSoundClassifier.FeatureExtractionParameters