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')
36 os.path.join(DAAL_PREFIX,
'online',
'covcormoments_csr_1.csv'),
37 os.path.join(DAAL_PREFIX,
'online',
'covcormoments_csr_2.csv'),
38 os.path.join(DAAL_PREFIX,
'online',
'covcormoments_csr_3.csv'),
39 os.path.join(DAAL_PREFIX,
'online',
'covcormoments_csr_4.csv'),
42 if __name__ ==
"__main__":
45 algorithm = covariance.Online()
48 algorithm.parameter.outputMatrixType = covariance.correlationMatrix
50 for i
in range(nBlocks):
51 dataTable = createSparseTable(datasetFileNames[i])
54 algorithm.input.set(covariance.data, dataTable)
60 res = algorithm.finalizeCompute()
62 printNumericTable(res.get(covariance.correlation),
"Correlation matrix (upper left square 10*10) :", 10, 10)
63 printNumericTable(res.get(covariance.mean),
"Mean vector:", 1, 10)