evaluation(on:featureColumns:labelColumn:recordingFileColumn:)
Generates metrics describing the activity classifier’s performance on labeled activities in a data source.
Declaration
func evaluation(on testingData: MLActivityClassifier.DataSource, featureColumns: [String], labelColumn: String? = nil, recordingFileColumn: String? = nil) -> MLClassifierMetricsParameters
- testingData:
The activity data that you provide to test this model, contained in an Datasource.
- featureColumns:
The names of the columns that contain sensor data.
- labelColumn:
The name of the column that contain the activity labels. The method ignores this parameter if the data source uses a labeled directory.
- recordingFileColumn:
The name of the column that contain the recording file names. The method ignores this parameter if the data source uses a labeled directory.
Return Value
An MLClassifierMetrics instance.