47 from daal.algorithms.logitboost
import prediction, training
48 from daal.algorithms
import classifier
49 from daal.data_management
import (
50 FileDataSource, DataSourceIface, NumericTableIface, HomogenNumericTable, MergedNumericTable
53 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
54 if utils_folder
not in sys.path:
55 sys.path.insert(0, utils_folder)
56 from utils
import printNumericTables
58 DAAL_PREFIX = os.path.join(
'..',
'data')
61 trainDatasetFileName = os.path.join(DAAL_PREFIX,
'batch',
'logitboost_train.csv')
62 testDatasetFileName = os.path.join(DAAL_PREFIX,
'batch',
'logitboost_test.csv')
69 accuracyThreshold = 0.01
73 predictionResult =
None
74 testGroundTruth =
None
81 trainDataSource = FileDataSource(
83 DataSourceIface.notAllocateNumericTable,
84 DataSourceIface.doDictionaryFromContext
88 trainData = HomogenNumericTable(nFeatures, 0, NumericTableIface.doNotAllocate)
89 trainGroundTruth = HomogenNumericTable(1, 0, NumericTableIface.doNotAllocate)
90 mergedData = MergedNumericTable(trainData, trainGroundTruth)
93 trainDataSource.loadDataBlock(mergedData)
96 algorithm = training.Batch(nClasses)
97 algorithm.parameter.maxIterations = maxIterations
98 algorithm.parameter.accuracyThreshold = accuracyThreshold
101 algorithm.input.set(classifier.training.data, trainData)
102 algorithm.input.set(classifier.training.labels, trainGroundTruth)
105 trainingResult = algorithm.compute()
106 model = trainingResult.get(classifier.training.model)
110 global testGroundTruth, predictionResult
113 testDataSource = FileDataSource(
115 DataSourceIface.notAllocateNumericTable,
116 DataSourceIface.doDictionaryFromContext
120 testData = HomogenNumericTable(nFeatures, 0, NumericTableIface.doNotAllocate)
121 testGroundTruth = HomogenNumericTable(1, 0, NumericTableIface.doNotAllocate)
122 mergedData = MergedNumericTable(testData, testGroundTruth)
125 testDataSource.loadDataBlock(mergedData)
128 algorithm = prediction.Batch(nClasses)
131 algorithm.input.setTable(classifier.prediction.data, testData)
132 algorithm.input.setModel(classifier.prediction.model, model)
136 predictionResult = algorithm.compute()
143 predictionResult.get(classifier.prediction.prediction),
144 "Ground truth",
"Classification results",
145 "LogitBoost classification results (first 20 observations):", 20, flt64=
False
148 if __name__ ==
"__main__":