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

low_order_moms_dense_batch.py

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40 
41 ## <a name="DAAL-EXAMPLE-PY-LOW_ORDER_MOMENTS_DENSE_BATCH"></a>
42 ## \example low_order_moms_dense_batch.py
43 
44 import os
45 import sys
46 
47 from daal.algorithms import low_order_moments
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 dataFileName = os.path.join(DAAL_PREFIX, 'batch', 'covcormoments_dense.csv')
59 
60 
61 def printResults(res):
62  printNumericTable(res.get(low_order_moments.minimum), "Minimum:")
63  printNumericTable(res.get(low_order_moments.maximum), "Maximum:")
64  printNumericTable(res.get(low_order_moments.sum), "Sum:")
65  printNumericTable(res.get(low_order_moments.sumSquares), "Sum of squares:")
66  printNumericTable(res.get(low_order_moments.sumSquaresCentered), "Sum of squared difference from the means:")
67  printNumericTable(res.get(low_order_moments.mean), "Mean:")
68  printNumericTable(res.get(low_order_moments.secondOrderRawMoment), "Second order raw moment:")
69  printNumericTable(res.get(low_order_moments.variance), "Variance:")
70  printNumericTable(res.get(low_order_moments.standardDeviation), "Standard deviation:")
71  printNumericTable(res.get(low_order_moments.variation), "Variation:")
72 
73 if __name__ == "__main__":
74 
75  # Initialize FileDataSource to retrieve input data from .csv file
76  dataSource = FileDataSource(
77  dataFileName,
78  DataSourceIface.doAllocateNumericTable,
79  DataSourceIface.doDictionaryFromContext
80  )
81 
82  # Retrieve the data from input file
83  dataSource.loadDataBlock()
84 
85  # Create algorithm for computing low order moments in batch processing mode
86  algorithm = low_order_moments.Batch()
87 
88  # Set input arguments of the algorithm
89  algorithm.input.set(low_order_moments.data, dataSource.getNumericTable())
90 
91  # Get computed low order moments
92  res = algorithm.compute()
93 
94  printResults(res)

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