22 from daal.algorithms.logitboost
import prediction, training
23 from daal.algorithms
import classifier
24 from daal.data_management
import (
25 FileDataSource, DataSourceIface, NumericTableIface, HomogenNumericTable, MergedNumericTable
28 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
29 if utils_folder
not in sys.path:
30 sys.path.insert(0, utils_folder)
31 from utils
import printNumericTables
33 DAAL_PREFIX = os.path.join(
'..',
'data')
36 trainDatasetFileName = os.path.join(DAAL_PREFIX,
'batch',
'logitboost_train.csv')
37 testDatasetFileName = os.path.join(DAAL_PREFIX,
'batch',
'logitboost_test.csv')
44 accuracyThreshold = 0.01
48 predictionResult =
None
49 testGroundTruth =
None
56 trainDataSource = FileDataSource(
58 DataSourceIface.notAllocateNumericTable,
59 DataSourceIface.doDictionaryFromContext
63 trainData = HomogenNumericTable(nFeatures, 0, NumericTableIface.doNotAllocate)
64 trainGroundTruth = HomogenNumericTable(1, 0, NumericTableIface.doNotAllocate)
65 mergedData = MergedNumericTable(trainData, trainGroundTruth)
68 trainDataSource.loadDataBlock(mergedData)
71 algorithm = training.Batch(nClasses)
72 algorithm.parameter.maxIterations = maxIterations
73 algorithm.parameter.accuracyThreshold = accuracyThreshold
76 algorithm.input.set(classifier.training.data, trainData)
77 algorithm.input.set(classifier.training.labels, trainGroundTruth)
80 trainingResult = algorithm.compute()
81 model = trainingResult.get(classifier.training.model)
85 global testGroundTruth, predictionResult
88 testDataSource = FileDataSource(
90 DataSourceIface.notAllocateNumericTable,
91 DataSourceIface.doDictionaryFromContext
95 testData = HomogenNumericTable(nFeatures, 0, NumericTableIface.doNotAllocate)
96 testGroundTruth = HomogenNumericTable(1, 0, NumericTableIface.doNotAllocate)
97 mergedData = MergedNumericTable(testData, testGroundTruth)
100 testDataSource.loadDataBlock(mergedData)
103 algorithm = prediction.Batch(nClasses)
106 algorithm.input.setTable(classifier.prediction.data, testData)
107 algorithm.input.setModel(classifier.prediction.model, model)
111 predictionResult = algorithm.compute()
118 predictionResult.get(classifier.prediction.prediction),
119 "Ground truth",
"Classification results",
120 "LogitBoost classification results (first 20 observations):", 20, flt64=
False
123 if __name__ ==
"__main__":