48 from daal.algorithms
import pca
49 from daal.data_management
import FileDataSource, DataSourceIface
51 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
52 if utils_folder
not in sys.path:
53 sys.path.insert(0, utils_folder)
54 from utils
import printNumericTable
56 DAAL_PREFIX = os.path.join(
'..',
'data')
59 dataFileName = os.path.join(DAAL_PREFIX,
'batch',
'pca_normalized.csv')
62 if __name__ ==
"__main__":
65 dataSource = FileDataSource(
66 dataFileName, DataSourceIface.doAllocateNumericTable, DataSourceIface.doDictionaryFromContext
70 dataSource.loadDataBlock(nVectors)
73 algorithm = pca.Batch(method=pca.svdDense)
76 algorithm.input.setDataset(pca.data, dataSource.getNumericTable())
77 algorithm.parameter.resultsToCompute = pca.mean | pca.variance | pca.eigenvalue;
78 algorithm.parameter.isDeterministic =
True;
81 result = algorithm.compute()
84 printNumericTable(result.get(pca.eigenvalues),
"Eigenvalues:")
85 printNumericTable(result.get(pca.eigenvectors),
"Eigenvectors:")
86 printNumericTable(result.get(pca.means),
"Means:")
87 printNumericTable(result.get(pca.variances),
"Variances:")