# file: low_order_moms_dense_batch.py
#===============================================================================
# Copyright 2014-2018 Intel Corporation.
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#===============================================================================## <a name="DAAL-EXAMPLE-PY-LOW_ORDER_MOMENTS_DENSE_BATCH"></a>
## \example low_order_moms_dense_batch.pyimport os
import sysfrom daal.algorithms import low_order_moments
from daal.data_management import FileDataSource, DataSourceIfaceutils_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 printNumericTableDAAL_PREFIX = os.path.join('..', 'data')# Input data set parameters
dataFileName = os.path.join(DAAL_PREFIX, 'batch', 'covcormoments_dense.csv')def printResults(res):printNumericTable(res.get(low_order_moments.minimum),              "Minimum:")printNumericTable(res.get(low_order_moments.maximum),              "Maximum:")printNumericTable(res.get(low_order_moments.sum),                  "Sum:")printNumericTable(res.get(low_order_moments.sumSquares),           "Sum of squares:")printNumericTable(res.get(low_order_moments.sumSquaresCentered),   "Sum of squared difference from the means:")printNumericTable(res.get(low_order_moments.mean),                 "Mean:")printNumericTable(res.get(low_order_moments.secondOrderRawMoment), "Second order raw moment:")printNumericTable(res.get(low_order_moments.variance),             "Variance:")printNumericTable(res.get(low_order_moments.standardDeviation),    "Standard deviation:")printNumericTable(res.get(low_order_moments.variation),            "Variation:")if __name__ == "__main__":# Initialize FileDataSource to retrieve input data from .csv filedataSource = FileDataSource(dataFileName,DataSourceIface.doAllocateNumericTable,DataSourceIface.doDictionaryFromContext)# Retrieve the data from input filedataSource.loadDataBlock()# Create algorithm for computing low order moments in batch processing modealgorithm = low_order_moments.Batch()# Set input arguments of the algorithmalgorithm.input.set(low_order_moments.data, dataSource.getNumericTable())# Get computed low order momentsres = algorithm.compute()printResults(res)