48 from daal
import step1Local, step2Master
49 from daal.algorithms
import covariance
51 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
52 if utils_folder
not in sys.path:
53 sys.path.insert(0, utils_folder)
54 from utils
import printNumericTable, createSparseTable
56 DAAL_PREFIX = os.path.join(
'..',
'data')
62 os.path.join(DAAL_PREFIX,
'distributed',
'covcormoments_csr_1.csv'),
63 os.path.join(DAAL_PREFIX,
'distributed',
'covcormoments_csr_2.csv'),
64 os.path.join(DAAL_PREFIX,
'distributed',
'covcormoments_csr_3.csv'),
65 os.path.join(DAAL_PREFIX,
'distributed',
'covcormoments_csr_4.csv')
68 partialResult = [0] * nBlocks
72 def computestep1Local(block):
75 dataTable = createSparseTable(datasetFileNames[block])
78 algorithm = covariance.Distributed(step1Local, method=covariance.fastCSR)
81 algorithm.input.set(covariance.data, dataTable)
84 partialResult[block] = algorithm.compute()
87 def computeOnMasterNode():
91 algorithm = covariance.Distributed(step2Master, method=covariance.fastCSR)
94 for i
in range(nBlocks):
95 algorithm.input.add(covariance.partialResults, partialResult[i])
101 result = algorithm.finalizeCompute()
103 if __name__ ==
"__main__":
105 for i
in range(nBlocks):
108 computeOnMasterNode()
110 printNumericTable(result.get(covariance.covariance),
"Covariance matrix (upper left square 10*10) :", 10, 10)
111 printNumericTable(result.get(covariance.mean),
"Mean vector:", 1, 10)