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.

 # file:
 # Copyright 2014-2019 Intel Corporation.
 # This software and the related documents are Intel copyrighted  materials,  and
 # your use of  them is  governed by the  express license  under which  they were
 # provided to you (License).  Unless the License provides otherwise, you may not
 # use, modify, copy, publish, distribute,  disclose or transmit this software or
 # the related documents without Intel's prior written permission.
 # This software and the related documents  are provided as  is,  with no express
 # or implied  warranties,  other  than those  that are  expressly stated  in the
 # License.
 # !  Content:
 # !    Python example of computing a radial basis function (RBF) kernel
 # !
 # !*****************************************************************************
 ## \example
 import os
 import sys
 from daal.algorithms import kernel_function
 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
 if utils_folder not in sys.path:
     sys.path.insert(0, utils_folder)
 from utils import printNumericTable, createSparseTable
 data_dir = os.path.join('..', 'data', 'batch')
 # Input data set parameters
 leftDatasetFileName = os.path.join(data_dir, 'kernel_function_csr.csv')
 rightDatasetFileName = os.path.join(data_dir, 'kernel_function_csr.csv')
 # Kernel algorithm parameters
 sigma = 1.0  # RBF kernel coefficient
 if __name__ == "__main__":
     # Initialize FileDataSource<CSVFeatureManager> to retrieve the input data from a .csv file
     leftData = createSparseTable(leftDatasetFileName)
     rightData = createSparseTable(rightDatasetFileName)
     # Create algorithm objects for the kernel algorithm using the default method
     algorithm = kernel_function.rbf.Batch(method=kernel_function.rbf.fastCSR)
     # Set the kernel algorithm parameter
     algorithm.parameter.sigma = sigma
     algorithm.parameter.computationMode = kernel_function.matrixMatrix
     # Set an input data table for the algorithm
     algorithm.input.set(kernel_function.X, leftData)
     algorithm.input.set(kernel_function.Y, rightData)
     # Compute the RBF kernel
     # (Result class from daal.algorithms.kernel_function)
     result = algorithm.compute()
     # Print the results
     printNumericTable(result.get(kernel_function.values), "Values")
Para obter informações mais completas sobre otimizações do compilador, consulte nosso aviso de otimização.
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