Python* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 3

low_order_moms_csr_online.py

1 # file: low_order_moms_csr_online.py
2 #===============================================================================
3 # Copyright 2014-2018 Intel Corporation.
4 #
5 # This software and the related documents are Intel copyrighted materials, and
6 # your use of them is governed by the express license under which they were
7 # provided to you (License). Unless the License provides otherwise, you may not
8 # use, modify, copy, publish, distribute, disclose or transmit this software or
9 # the related documents without Intel's prior written permission.
10 #
11 # This software and the related documents are provided as is, with no express
12 # or implied warranties, other than those that are expressly stated in the
13 # License.
14 #===============================================================================
15 
16 
17 
18 
19 import os
20 import sys
21 
22 from daal.algorithms import low_order_moments
23 
24 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
25 if utils_folder not in sys.path:
26  sys.path.insert(0, utils_folder)
27 from utils import printNumericTable, createSparseTable
28 
29 DAAL_PREFIX = os.path.join('..', 'data')
30 
31 # Input data set parameters
32 nBlocks = 4
33 
34 datasetFileNames = [
35  os.path.join(DAAL_PREFIX, 'online', 'covcormoments_csr_1.csv'),
36  os.path.join(DAAL_PREFIX, 'online', 'covcormoments_csr_2.csv'),
37  os.path.join(DAAL_PREFIX, 'online', 'covcormoments_csr_3.csv'),
38  os.path.join(DAAL_PREFIX, 'online', 'covcormoments_csr_4.csv')
39 ]
40 
41 
42 def printResults(res):
43  printNumericTable(res.get(low_order_moments.minimum), "Minimum:")
44  printNumericTable(res.get(low_order_moments.maximum), "Maximum:")
45  printNumericTable(res.get(low_order_moments.sum), "Sum:")
46  printNumericTable(res.get(low_order_moments.sumSquares), "Sum of squares:")
47  printNumericTable(res.get(low_order_moments.sumSquaresCentered), "Sum of squared difference from the means:")
48  printNumericTable(res.get(low_order_moments.mean), "Mean:")
49  printNumericTable(res.get(low_order_moments.secondOrderRawMoment), "Second order raw moment:")
50  printNumericTable(res.get(low_order_moments.variance), "Variance:")
51  printNumericTable(res.get(low_order_moments.standardDeviation), "Standard deviation:")
52  printNumericTable(res.get(low_order_moments.variation), "Variation:")
53 
54 if __name__ == "__main__":
55 
56  # Create algorithm objects for low order moments computing in online mode using default method
57  algorithm = low_order_moments.Online()
58 
59  for i in range(nBlocks):
60  dataTable = createSparseTable(datasetFileNames[i])
61 
62  # Set input arguments of the algorithm
63  algorithm.input.set(low_order_moments.data, dataTable)
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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