Python* API Reference for Intel® Data Analytics Acceleration Library 2019

low_order_moms_dense_online.py

1 # file: low_order_moms_dense_online.py
2 #===============================================================================
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14 #===============================================================================
15 
16 ## <a name="DAAL-EXAMPLE-PY-LOW_ORDER_MOMENTS_DENSE_ONLINE"></a>
17 ## \example low_order_moms_dense_online.py
18 
19 import os
20 import sys
21 
22 from daal.algorithms import low_order_moments
23 from daal.data_management import FileDataSource, DataSourceIface
24 
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 printNumericTable
29 
30 DAAL_PREFIX = os.path.join('..', 'data')
31 
32 # Input data set parameters
33 datasetFileName = os.path.join(DAAL_PREFIX, 'online', 'covcormoments_dense.csv')
34 nVectorsInBlock = 50
35 
36 
37 def printResults(res):
38 
39  printNumericTable(res.get(low_order_moments.minimum), "Minimum:")
40  printNumericTable(res.get(low_order_moments.maximum), "Maximum:")
41  printNumericTable(res.get(low_order_moments.sum), "Sum:")
42  printNumericTable(res.get(low_order_moments.sumSquares), "Sum of squares:")
43  printNumericTable(res.get(low_order_moments.sumSquaresCentered), "Sum of squared difference from the means:")
44  printNumericTable(res.get(low_order_moments.mean), "Mean:")
45  printNumericTable(res.get(low_order_moments.secondOrderRawMoment), "Second order raw moment:")
46  printNumericTable(res.get(low_order_moments.variance), "Variance:")
47  printNumericTable(res.get(low_order_moments.standardDeviation), "Standard deviation:")
48  printNumericTable(res.get(low_order_moments.variation), "Variation:")
49 
50 if __name__ == "__main__":
51 
52  # Initialize FileDataSource<CSVFeatureManager> to retrieve input data from .csv file
53  dataSource = FileDataSource(
54  datasetFileName, DataSourceIface.doAllocateNumericTable,
55  DataSourceIface.doDictionaryFromContext
56  )
57 
58  # Create algorithm objects for low order moments computing in online mode using default method
59  algorithm = low_order_moments.Online()
60 
61  while(dataSource.loadDataBlock(nVectorsInBlock) == nVectorsInBlock):
62  # Set input arguments of the algorithm
63  algorithm.input.set(low_order_moments.data, dataSource.getNumericTable())
64 
65  # Compute partial low order moments estimates
66  algorithm.compute()
67 
68  # Finalize online result and get computed low order moments
69  res = algorithm.finalizeCompute()
70 
71  printResults(res)

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