24 from daal.algorithms
import covariance
26 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
27 if utils_folder
not in sys.path:
28 sys.path.insert(0, utils_folder)
29 from utils
import printNumericTable, createSparseTable
31 DAAL_PREFIX = os.path.join(
'..',
'data')
34 datasetFileName = os.path.join(DAAL_PREFIX,
'batch',
'covcormoments_csr.csv')
36 if __name__ ==
"__main__":
39 dataTable = createSparseTable(datasetFileName)
42 algorithm = covariance.Batch()
43 algorithm.input.set(covariance.data, dataTable)
46 algorithm.parameter.outputMatrixType = covariance.correlationMatrix
49 res = algorithm.compute()
51 printNumericTable(res.get(covariance.correlation),
"Correlation matrix (upper left square 10*10) :", 10, 10)
52 printNumericTable(res.get(covariance.mean),
"Mean vector:", 1, 10)