24 from daal.algorithms
import pca
25 from daal.data_management
import FileDataSource, DataSourceIface
27 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
28 if utils_folder
not in sys.path:
29 sys.path.insert(0, utils_folder)
30 from utils
import printNumericTable
32 DAAL_PREFIX = os.path.join(
'..',
'data')
35 dataFileName = os.path.join(DAAL_PREFIX,
'batch',
'pca_normalized.csv')
38 if __name__ ==
"__main__":
41 dataSource = FileDataSource(
42 dataFileName, DataSourceIface.doAllocateNumericTable, DataSourceIface.doDictionaryFromContext
46 dataSource.loadDataBlock(nVectors)
49 algorithm = pca.Batch(method=pca.svdDense)
52 algorithm.input.setDataset(pca.data, dataSource.getNumericTable())
53 algorithm.parameter.resultsToCompute = pca.mean | pca.variance | pca.eigenvalue;
54 algorithm.parameter.isDeterministic =
True;
57 result = algorithm.compute()
60 printNumericTable(result.get(pca.eigenvalues),
"Eigenvalues:")
61 printNumericTable(result.get(pca.eigenvectors),
"Eigenvectors:")
62 printNumericTable(result.get(pca.means),
"Means:")
63 printNumericTable(result.get(pca.variances),
"Variances:")