48 from daal.algorithms.brownboost
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',
'brownboost_train.csv')
63 testDatasetFileName = os.path.join(DAAL_PREFIX,
'batch',
'brownboost_test.csv')
68 predictionResult =
None 69 testGroundTruth =
None 76 trainDataSource = FileDataSource(
78 DataSourceIface.notAllocateNumericTable,
79 DataSourceIface.doDictionaryFromContext
82 trainData = HomogenNumericTable(nFeatures, 0, NumericTableIface.doNotAllocate)
83 trainGroundTruth = HomogenNumericTable(1, 0, NumericTableIface.doNotAllocate)
84 mergedData = MergedNumericTable(trainData, trainGroundTruth)
87 trainDataSource.loadDataBlock(mergedData)
90 algorithm = training.Batch()
93 algorithm.input.set(classifier.training.data, trainData)
94 algorithm.input.set(classifier.training.labels, trainGroundTruth)
97 trainingResult = algorithm.compute()
101 global testGroundTruth, predictionResult
104 testDataSource = FileDataSource(
106 DataSourceIface.notAllocateNumericTable,
107 DataSourceIface.doDictionaryFromContext
111 testData = HomogenNumericTable(nFeatures, 0, NumericTableIface.doNotAllocate)
112 testGroundTruth = HomogenNumericTable(1, 0, NumericTableIface.doNotAllocate)
113 mergedData = MergedNumericTable(testData, testGroundTruth)
116 testDataSource.loadDataBlock(mergedData)
119 algorithm = prediction.Batch()
122 algorithm.input.setTable(classifier.prediction.data, testData)
123 algorithm.input.setModel(classifier.prediction.model, trainingResult.get(classifier.training.model))
127 predictionResult = algorithm.compute()
133 predictionResult.get(classifier.prediction.prediction),
134 "Ground truth",
"Classification results",
135 "BrownBoost classification results (first 20 observations):", 20
138 if __name__ ==
"__main__":