33 import daal.algorithms.optimization_solver
as optimization_solver
34 import daal.algorithms.optimization_solver.mse
35 import daal.algorithms.optimization_solver.adagrad
36 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',
'mse.csv')
49 accuracyThreshold = 0.0000001
51 nIterations = halfNIterations * 2
55 startPoint = np.array([[8], [2], [1], [4]], dtype=np.float64)
57 if __name__ ==
"__main__":
60 dataSource = FileDataSource(datasetFileName,
61 DataSourceIface.notAllocateNumericTable,
62 DataSourceIface.doDictionaryFromContext)
65 data = HomogenNumericTable(nFeatures, 0, NumericTableIface.doNotAllocate)
66 dependentVariables = HomogenNumericTable(1, 0, NumericTableIface.doNotAllocate)
67 mergedData = MergedNumericTable(data, dependentVariables)
70 dataSource.loadDataBlock(mergedData)
72 nVectors = data.getNumberOfRows()
74 mseObjectiveFunction = optimization_solver.mse.Batch(nVectors)
75 mseObjectiveFunction.input.set(optimization_solver.mse.data, data)
76 mseObjectiveFunction.input.set(optimization_solver.mse.dependentVariables, dependentVariables)
79 adagradAlgorithm = optimization_solver.adagrad.Batch(mseObjectiveFunction)
82 adagradAlgorithm.input.setInput(optimization_solver.iterative_solver.inputArgument, HomogenNumericTable(startPoint))
83 adagradAlgorithm.parameter.learningRate = HomogenNumericTable(1, 1, NumericTableIface.doAllocate, learningRate)
84 adagradAlgorithm.parameter.nIterations = halfNIterations
85 adagradAlgorithm.parameter.accuracyThreshold = accuracyThreshold
86 adagradAlgorithm.parameter.batchSize = batchSize
87 adagradAlgorithm.parameter.optionalResultRequired =
True
91 res = adagradAlgorithm.compute()
94 printNumericTable(res.getResult(optimization_solver.iterative_solver.minimum),
"Minimum after first compute():")
95 printNumericTable(res.getResult(optimization_solver.iterative_solver.nIterations),
"Number of iterations performed:")
97 adagradAlgorithm.input.setInput(optimization_solver.iterative_solver.inputArgument, res.getResult(optimization_solver.iterative_solver.minimum))
98 adagradAlgorithm.input.setInput(optimization_solver.iterative_solver.optionalArgument, res.getResult(optimization_solver.iterative_solver.optionalResult))
100 res = adagradAlgorithm.compute()
102 printNumericTable(res.getResult(optimization_solver.iterative_solver.minimum),
"Minimum after second compute():")
103 printNumericTable(res.getResult(optimization_solver.iterative_solver.nIterations),
"Number of iterations performed:")