48 from daal.algorithms.logitboost
import prediction, training
49 from daal.algorithms
import classifier
50 from daal.data_management
import (
51 FileDataSource, DataSourceIface, NumericTableIface, HomogenNumericTable, MergedNumericTable
54 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
55 if utils_folder
not in sys.path:
56 sys.path.insert(0, utils_folder)
57 from utils
import printNumericTables
59 DAAL_PREFIX = os.path.join(
'..',
'data')
62 trainDatasetFileName = os.path.join(DAAL_PREFIX,
'batch',
'logitboost_train.csv')
63 testDatasetFileName = os.path.join(DAAL_PREFIX,
'batch',
'logitboost_test.csv')
70 accuracyThreshold = 0.01
74 predictionResult =
None
75 testGroundTruth =
None
82 trainDataSource = FileDataSource(
84 DataSourceIface.notAllocateNumericTable,
85 DataSourceIface.doDictionaryFromContext
89 trainData = HomogenNumericTable(nFeatures, 0, NumericTableIface.doNotAllocate)
90 trainGroundTruth = HomogenNumericTable(1, 0, NumericTableIface.doNotAllocate)
91 mergedData = MergedNumericTable(trainData, trainGroundTruth)
94 trainDataSource.loadDataBlock(mergedData)
97 algorithm = training.Batch(nClasses)
98 algorithm.parameter.maxIterations = maxIterations
99 algorithm.parameter.accuracyThreshold = accuracyThreshold
102 algorithm.input.set(classifier.training.data, trainData)
103 algorithm.input.set(classifier.training.labels, trainGroundTruth)
106 trainingResult = algorithm.compute()
107 model = trainingResult.get(classifier.training.model)
111 global testGroundTruth, predictionResult
114 testDataSource = FileDataSource(
116 DataSourceIface.notAllocateNumericTable,
117 DataSourceIface.doDictionaryFromContext
121 testData = HomogenNumericTable(nFeatures, 0, NumericTableIface.doNotAllocate)
122 testGroundTruth = HomogenNumericTable(1, 0, NumericTableIface.doNotAllocate)
123 mergedData = MergedNumericTable(testData, testGroundTruth)
126 testDataSource.loadDataBlock(mergedData)
129 algorithm = prediction.Batch(nClasses)
132 algorithm.input.setTable(classifier.prediction.data, testData)
133 algorithm.input.setModel(classifier.prediction.model, model)
137 predictionResult = algorithm.compute()
144 predictionResult.get(classifier.prediction.prediction),
145 "Ground truth",
"Classification results",
146 "LogitBoost classification results (first 20 observations):", 20, flt64=
False
149 if __name__ ==
"__main__":