Python* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 4

kernel_func_lin_csr_batch.py

Deprecation Notice: With the introduction of daal4py, a package that supersedes PyDAAL, Intel is deprecating PyDAAL and will discontinue support starting with Intel® DAAL 2021 and Intel® Distribution for Python 2021. Until then Intel will continue to provide compatible pyDAAL pip and conda packages for newer releases of Intel DAAL and make it available in open source. However, Intel will not add the new features of Intel DAAL to pyDAAL. Intel recommends developers switch to and use daal4py.

Note: To find daal4py examples, refer to daal4py documentation or browse github repository.

1 # file: kernel_func_lin_csr_batch.py
2 #===============================================================================
3 # Copyright 2014-2019 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 computing a linear kernel function in the batch processing mode
19 # !
20 # !*****************************************************************************
21 
22 #
23 ## <a name="DAAL-EXAMPLE-PY-KERNEL_FUNCTION_LINEAR_CSR_BATCH"></a>
24 ## \example kernel_func_lin_csr_batch.py
25 #
26 import os
27 import sys
28 
29 from daal.algorithms import kernel_function
30 
31 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
32 if utils_folder not in sys.path:
33  sys.path.insert(0, utils_folder)
34 from utils import printNumericTable, createSparseTable
35 
36 data_dir = os.path.join('..', 'data', 'batch')
37 # Input data set parameters
38 leftDatasetFileName = os.path.join(data_dir, 'kernel_function_csr.csv')
39 rightDatasetFileName = os.path.join(data_dir, 'kernel_function_csr.csv')
40 
41 # Kernel algorithm parameters
42 k = 1.0 # Linear kernel coefficient in the k(X,Y) + b model
43 b = 0.0 # Linear kernel coefficient in the k(X,Y) + b model
44 
45 if __name__ == "__main__":
46 
47  # Read datasetFileName from a file and create a numeric tables to store input data
48  leftData = createSparseTable(leftDatasetFileName)
49  rightData = createSparseTable(rightDatasetFileName)
50 
51  # Create algorithm objects for the kernel algorithm using the default method
52  algorithm = kernel_function.linear.Batch(method=kernel_function.linear.fastCSR)
53 
54  # Set the kernel algorithm parameter
55  algorithm.parameter.k = k
56  algorithm.parameter.b = b
57  algorithm.parameter.computationMode = kernel_function.matrixMatrix
58 
59  # Set an input data table for the algorithm
60  algorithm.input.set(kernel_function.X, leftData)
61  algorithm.input.set(kernel_function.Y, rightData)
62 
63  # Compute the linear kernel function
64  # (Result class from daal.algorithms.kernel_function)
65  result = algorithm.compute()
66 
67  # Print the results
68  printNumericTable(result.get(kernel_function.values), "Values")

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