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

quantiles_dense_batch.py

1 # file: quantiles_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 
18 
19 import os
20 import sys
21 
22 from daal.algorithms import quantiles
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 dataFileName = os.path.join(DAAL_PREFIX, 'batch', 'quantiles.csv')
34 
35 if __name__ == "__main__":
36 
37  # Initialize FileDataSource to retrieve input data from .csv file
38  dataSource = FileDataSource(
39  dataFileName,
40  DataSourceIface.doAllocateNumericTable,
41  DataSourceIface.doDictionaryFromContext
42  )
43 
44  # Retrieve the data from input file
45  dataSource.loadDataBlock()
46 
47  # Create algorithm to compute quantiles in batch mode
48  algorithm = quantiles.Batch()
49 
50  # Set input arguments of the algorithm
51  algorithm.input.set(quantiles.data, dataSource.getNumericTable())
52 
53  # Get computed quantiles
54  res = algorithm.compute()
55 
56  # Print result
57  printNumericTable(res.get(quantiles.quantiles), "Quantiles")

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