24 from daal.algorithms.logitboost
import prediction, training
25 from daal.algorithms
import classifier
26 from daal.data_management
import (
27 FileDataSource, DataSourceIface, NumericTableIface, HomogenNumericTable, MergedNumericTable
30 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
31 if utils_folder
not in sys.path:
32 sys.path.insert(0, utils_folder)
33 from utils
import printNumericTables
35 DAAL_PREFIX = os.path.join(
'..',
'data')
38 trainDatasetFileName = os.path.join(DAAL_PREFIX,
'batch',
'logitboost_train.csv')
39 testDatasetFileName = os.path.join(DAAL_PREFIX,
'batch',
'logitboost_test.csv')
46 accuracyThreshold = 0.01
50 predictionResult =
None
51 testGroundTruth =
None
58 trainDataSource = FileDataSource(
60 DataSourceIface.notAllocateNumericTable,
61 DataSourceIface.doDictionaryFromContext
65 trainData = HomogenNumericTable(nFeatures, 0, NumericTableIface.doNotAllocate)
66 trainGroundTruth = HomogenNumericTable(1, 0, NumericTableIface.doNotAllocate)
67 mergedData = MergedNumericTable(trainData, trainGroundTruth)
70 trainDataSource.loadDataBlock(mergedData)
73 algorithm = training.Batch(nClasses)
74 algorithm.parameter.maxIterations = maxIterations
75 algorithm.parameter.accuracyThreshold = accuracyThreshold
78 algorithm.input.set(classifier.training.data, trainData)
79 algorithm.input.set(classifier.training.labels, trainGroundTruth)
82 trainingResult = algorithm.compute()
83 model = trainingResult.get(classifier.training.model)
87 global testGroundTruth, predictionResult
90 testDataSource = FileDataSource(
92 DataSourceIface.notAllocateNumericTable,
93 DataSourceIface.doDictionaryFromContext
97 testData = HomogenNumericTable(nFeatures, 0, NumericTableIface.doNotAllocate)
98 testGroundTruth = HomogenNumericTable(1, 0, NumericTableIface.doNotAllocate)
99 mergedData = MergedNumericTable(testData, testGroundTruth)
102 testDataSource.loadDataBlock(mergedData)
105 algorithm = prediction.Batch(nClasses)
108 algorithm.input.setTable(classifier.prediction.data, testData)
109 algorithm.input.setModel(classifier.prediction.model, model)
113 predictionResult = algorithm.compute()
120 predictionResult.get(classifier.prediction.prediction),
121 "Ground truth",
"Classification results",
122 "LogitBoost classification results (first 20 observations):", 20, flt64=
False
125 if __name__ ==
"__main__":