24 import daal.algorithms.implicit_als.prediction.ratings
as ratings
25 import daal.algorithms.implicit_als.training
as training
26 import daal.algorithms.implicit_als.training.init
as init
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 printNumericTable, createSparseTable
33 DAAL_PREFIX = os.path.join(
'..',
'data')
36 trainDatasetFileName = os.path.join(DAAL_PREFIX,
'batch',
'implicit_als_csr.csv')
46 def initializeModel():
47 global initialModel, dataTable
50 dataTable = createSparseTable(trainDatasetFileName)
53 initAlgorithm = init.Batch(method=init.fastCSR)
54 initAlgorithm.parameter.nFactors = nFactors
57 initAlgorithm.input.set(init.data, dataTable)
60 res = initAlgorithm.compute()
62 initialModel = res.get(init.model)
69 algorithm = training.Batch(method=training.fastCSR)
72 algorithm.input.setTable(training.data, dataTable)
73 algorithm.input.setModel(training.inputModel, initialModel)
75 algorithm.parameter.nFactors = nFactors
79 trainingResult = algorithm.compute()
85 algorithm = ratings.Batch()
86 algorithm.parameter.nFactors = nFactors
88 algorithm.input.set(ratings.model, trainingResult.get(training.model))
90 res = algorithm.compute()
92 predictedRatings = res.get(ratings.prediction)
94 printNumericTable(predictedRatings,
"Predicted ratings:")
96 if __name__ ==
"__main__":