24 from daal.algorithms
import bacon_outlier_detection
25 from daal.data_management
import FileDataSource, DataSourceIface
27 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
28 if utils_folder
not in sys.path:
29 sys.path.insert(0, utils_folder)
30 from utils
import printNumericTables
32 DAAL_PREFIX = os.path.join(
'..',
'data')
35 datasetFileName = os.path.join(DAAL_PREFIX,
'batch',
'outlierdetection.csv')
37 if __name__ ==
"__main__":
40 dataSource = FileDataSource(
42 DataSourceIface.doAllocateNumericTable,
43 DataSourceIface.doDictionaryFromContext
47 dataSource.loadDataBlock()
50 algorithm = bacon_outlier_detection.Batch()
52 algorithm.input.set(bacon_outlier_detection.data, dataSource.getNumericTable())
55 res = algorithm.compute()
58 dataSource.getNumericTable(), res.get(bacon_outlier_detection.weights),
59 "Input data",
"Weights",
60 "Outlier detection result (Bacon method)"