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

abs_dense_batch.py

1 # file: abs_dense_batch.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 # ! Content:
18 # ! Python example of abs algorithm.
19 # !
20 # !*****************************************************************************
21 
22 #
23 ## <a name="DAAL-EXAMPLE-PY-ABS_DENSE_BATCH"></a>
24 ## \example abs_dense_batch.py
25 #
26 
27 import os
28 import sys
29 
30 import daal.algorithms.math.abs
31 from daal.algorithms import math
32 from daal.data_management import FileDataSource, DataSourceIface
33 
34 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
35 if utils_folder not in sys.path:
36  sys.path.insert(0, utils_folder)
37 from utils import printNumericTable
38 
39 # Input data set parameters
40 datasetName = os.path.join('..', 'data', 'batch', 'covcormoments_dense.csv')
41 
42 if __name__ == "__main__":
43 
44  # Retrieve the input data
45  dataSource = FileDataSource(datasetName,
46  DataSourceIface.doAllocateNumericTable,
47  DataSourceIface.doDictionaryFromContext)
48  dataSource.loadDataBlock()
49 
50  # Create an algorithm
51  algorithm = math.abs.Batch()
52 
53  # Set an input object for the algorithm
54  algorithm.input.set(math.abs.data, dataSource.getNumericTable())
55 
56  # Compute Abs function
57  res = algorithm.compute()
58 
59  # Print the results of the algorithm
60  printNumericTable(res.get(math.abs.value), "Abs result (first 5 rows):", 5)

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