47 import daal.algorithms.implicit_als.training.init
48 import daal.algorithms.implicit_als.prediction.ratings
49 from daal.algorithms.implicit_als
import training, prediction
50 from daal.data_management
import FileDataSource, DataSourceIface
52 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
53 if utils_folder
not in sys.path:
54 sys.path.insert(0, utils_folder)
55 from utils
import printNumericTable
57 DAAL_PREFIX = os.path.join(
'..',
'data')
60 trainDatasetFileName = os.path.join(DAAL_PREFIX,
'batch',
'implicit_als_dense.csv')
70 def initializeModel():
71 global dataTable, initialModel
74 dataSource = FileDataSource(
75 trainDatasetFileName, DataSourceIface.doAllocateNumericTable,
76 DataSourceIface.doDictionaryFromContext
80 dataSource.loadDataBlock()
82 dataTable = dataSource.getNumericTable()
84 initAlgorithm = training.init.Batch()
85 initAlgorithm.parameter.nFactors = nFactors
88 initAlgorithm.input.set(training.init.data, dataTable)
89 res = initAlgorithm.compute()
92 initialModel = res.get(training.init.model)
99 algorithm = training.Batch()
102 algorithm.input.setTable(training.data, dataTable)
103 algorithm.input.setModel(training.inputModel, initialModel)
105 algorithm.parameter.nFactors = nFactors
108 trainingResult = algorithm.compute()
114 algorithm = prediction.ratings.Batch()
115 algorithm.parameter.nFactors = nFactors
117 algorithm.input.set(prediction.ratings.model, trainingResult.get(training.model))
119 res = algorithm.compute()
120 predictedRatings = res.get(prediction.ratings.prediction)
122 printNumericTable(predictedRatings,
"Predicted ratings:")
124 if __name__ ==
"__main__":