31 import daal.algorithms.normalization.minmax
as minmax
32 from daal.data_management
import DataSourceIface, FileDataSource
34 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
35 if utils_folder
not in sys.path:
36 sys.path.insert(0, utils_folder)
37 from utils
import printNumericTable
40 datasetName = os.path.join(
'..',
'data',
'batch',
'normalization.csv')
42 if __name__ ==
"__main__":
45 dataSource = FileDataSource(datasetName,
46 DataSourceIface.doAllocateNumericTable,
47 DataSourceIface.doDictionaryFromContext)
48 dataSource.loadDataBlock()
50 data = dataSource.getNumericTable()
53 algorithm = minmax.Batch(method=minmax.defaultDense)
56 algorithm.parameter.lowerBound = -1.0
57 algorithm.parameter.upperBound = 1.0
60 algorithm.input.set(minmax.data, data)
63 res = algorithm.compute()
65 printNumericTable(data,
"First 10 rows of the input data:", 10)
66 printNumericTable(res.get(minmax.normalizedData),
"First 10 rows of the min-max normalization result:", 10)