22 from daal.algorithms
import multivariate_outlier_detection
23 from daal.data_management
import FileDataSource, DataSourceIface
25 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
26 if utils_folder
not in sys.path:
27 sys.path.insert(0, utils_folder)
28 from utils
import printNumericTables
30 DAAL_PREFIX = os.path.join(
'..',
'data')
33 datasetFileName = os.path.join(DAAL_PREFIX,
'batch',
'outlierdetection.csv')
35 if __name__ ==
"__main__":
38 dataSource = FileDataSource(
39 datasetFileName, DataSourceIface.doAllocateNumericTable,
40 DataSourceIface.doDictionaryFromContext
44 dataSource.loadDataBlock()
47 algorithm = multivariate_outlier_detection.Batch()
49 algorithm.input.set(multivariate_outlier_detection.data, dataSource.getNumericTable())
52 res = algorithm.compute()
55 dataSource.getNumericTable(),
56 res.get(multivariate_outlier_detection.weights),
57 "Input data",
"Weights",
58 "Outlier detection result (Default method)"