Python* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 1

qr_dense_online.py

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40 
41 
42 
43 
44 import os
45 import sys
46 
47 from daal.algorithms import qr
48 from daal.data_management import FileDataSource, DataSourceIface
49 
50 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
51 if utils_folder not in sys.path:
52  sys.path.insert(0, utils_folder)
53 from utils import printNumericTable
54 
55 DAAL_PREFIX = os.path.join('..', 'data')
56 
57 # Input data set parameters
58 nRowsInBlock = 4000
59 dataFileName = os.path.join(DAAL_PREFIX, 'batch', 'qr.csv')
60 
61 if __name__ == "__main__":
62 
63  # Initialize FileDataSource to retrieve input data from .csv file
64  dataSource = FileDataSource(
65  dataFileName,
66  DataSourceIface.doAllocateNumericTable,
67  DataSourceIface.doDictionaryFromContext
68  )
69 
70  # Create algorithm to compute QR decomposition
71  algorithm = qr.Online()
72 
73  while dataSource.loadDataBlock(nRowsInBlock) == nRowsInBlock:
74  # Set input arguments of the algorithm
75  algorithm.input.set(qr.data, dataSource.getNumericTable())
76 
77  # Compute partial QR decompisition estimates
78  algorithm.compute()
79 
80  # Finalize online result and get computed QR decomposition
81  res = algorithm.finalizeCompute()
82 
83  # Print values
84  printNumericTable(res.get(qr.matrixQ), "Orthogonal matrix Q:", 10)
85  printNumericTable(res.get(qr.matrixR), "Triangular matrix R:")

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