55 import daal.algorithms.normalization.minmax
as minmax
56 from daal.data_management
import DataSourceIface, FileDataSource
58 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
59 if utils_folder
not in sys.path:
60 sys.path.insert(0, utils_folder)
61 from utils
import printNumericTable
64 datasetName = os.path.join(
'..',
'data',
'batch',
'normalization.csv')
66 if __name__ ==
"__main__":
69 dataSource = FileDataSource(datasetName,
70 DataSourceIface.doAllocateNumericTable,
71 DataSourceIface.doDictionaryFromContext)
72 dataSource.loadDataBlock()
74 data = dataSource.getNumericTable()
77 algorithm = minmax.Batch(method=minmax.defaultDense)
80 algorithm.parameter.lowerBound = -1.0
81 algorithm.parameter.upperBound = 1.0
84 algorithm.input.set(minmax.data, data)
87 res = algorithm.compute()
89 printNumericTable(data,
"First 10 rows of the input data:", 10)
90 printNumericTable(res.get(minmax.normalizedData),
"First 10 rows of the min-max normalization result:", 10)