Python* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2

kernel_func_rbf_csr_batch.py

1 # file: kernel_func_rbf_csr_batch.py
2 #===============================================================================
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40 #===============================================================================
41 
42 #
43 # ! Content:
44 # ! Python example of computing a radial basis function (RBF) kernel
45 # !
46 # !*****************************************************************************
47 
48 #
49 
50 
51 #
52 import os
53 import sys
54 
55 from daal.algorithms import kernel_function
56 
57 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
58 if utils_folder not in sys.path:
59  sys.path.insert(0, utils_folder)
60 from utils import printNumericTable, createSparseTable
61 
62 data_dir = os.path.join('..', 'data', 'batch')
63 # Input data set parameters
64 leftDatasetFileName = os.path.join(data_dir, 'kernel_function_csr.csv')
65 rightDatasetFileName = os.path.join(data_dir, 'kernel_function_csr.csv')
66 
67 # Kernel algorithm parameters
68 sigma = 1.0 # RBF kernel coefficient
69 
70 if __name__ == "__main__":
71 
72  # Initialize FileDataSource<CSVFeatureManager> to retrieve the input data from a .csv file
73  leftData = createSparseTable(leftDatasetFileName)
74  rightData = createSparseTable(rightDatasetFileName)
75 
76  # Create algorithm objects for the kernel algorithm using the default method
77  algorithm = kernel_function.rbf.Batch(method=kernel_function.rbf.fastCSR)
78 
79  # Set the kernel algorithm parameter
80  algorithm.parameter.sigma = sigma
81  algorithm.parameter.computationMode = kernel_function.matrixMatrix
82 
83  # Set an input data table for the algorithm
84  algorithm.input.set(kernel_function.X, leftData)
85  algorithm.input.set(kernel_function.Y, rightData)
86 
87  # Compute the RBF kernel
88  # (Result class from daal.algorithms.kernel_function)
89  result = algorithm.compute()
90 
91  # Print the results
92  printNumericTable(result.get(kernel_function.values), "Values")

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