32 import daal.algorithms.optimization_solver
as optimization_solver
33 import daal.algorithms.optimization_solver.logistic_loss
34 import daal.algorithms.optimization_solver.sgd
35 import daal.algorithms.optimization_solver.iterative_solver
37 from daal.data_management
import (
38 DataSourceIface, FileDataSource, HomogenNumericTable, MergedNumericTable, NumericTableIface
41 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
42 if utils_folder
not in sys.path:
43 sys.path.insert(0, utils_folder)
44 from utils
import printNumericTable
46 datasetFileName = os.path.join(
'..',
'data',
'batch',
'custom.csv')
51 accuracyThreshold = 0.02
53 initialPoint = np.array([[1], [1], [1], [1], [1]], dtype=np.float64)
55 if __name__ ==
"__main__":
58 dataSource = FileDataSource(datasetFileName,
59 DataSourceIface.notAllocateNumericTable,
60 DataSourceIface.doDictionaryFromContext)
63 data = HomogenNumericTable(nFeatures, 0, NumericTableIface.doNotAllocate)
64 dependentVariables = HomogenNumericTable(1, 0, NumericTableIface.doNotAllocate)
65 mergedData = MergedNumericTable(data, dependentVariables)
68 dataSource.loadDataBlock(mergedData)
70 nVectors = data.getNumberOfRows()
72 logistic_lossObjectiveFunction = optimization_solver.logistic_loss.Batch(nVectors)
73 logistic_lossObjectiveFunction.input.set(optimization_solver.logistic_loss.data, data)
74 logistic_lossObjectiveFunction.input.set(optimization_solver.logistic_loss.dependentVariables, dependentVariables)
77 sgdAlgorithm = optimization_solver.sgd.Batch(logistic_lossObjectiveFunction)
80 sgdAlgorithm.input.setInput(optimization_solver.iterative_solver.inputArgument, HomogenNumericTable(initialPoint))
81 sgdAlgorithm.parameter.learningRateSequence = HomogenNumericTable(1, 1, NumericTableIface.doAllocate, learningRate)
82 sgdAlgorithm.parameter.nIterations = nIterations
83 sgdAlgorithm.parameter.accuracyThreshold = accuracyThreshold
87 res = sgdAlgorithm.compute()
90 printNumericTable(res.getResult(optimization_solver.iterative_solver.minimum),
"Minimum:")
91 printNumericTable(res.getResult(optimization_solver.iterative_solver.nIterations),
"Number of iterations performed:")