48 import daal.algorithms.implicit_als.prediction.ratings
as ratings
49 import daal.algorithms.implicit_als.training
as training
50 import daal.algorithms.implicit_als.training.init
as init
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, createSparseTable
57 DAAL_PREFIX = os.path.join(
'..',
'data')
60 trainDatasetFileName = os.path.join(DAAL_PREFIX,
'batch',
'implicit_als_csr.csv')
70 def initializeModel():
71 global initialModel, dataTable
74 dataTable = createSparseTable(trainDatasetFileName)
77 initAlgorithm = init.Batch(method=init.fastCSR)
78 initAlgorithm.parameter.nFactors = nFactors
81 initAlgorithm.input.set(init.data, dataTable)
84 res = initAlgorithm.compute()
86 initialModel = res.get(init.model)
93 algorithm = training.Batch(method=training.fastCSR)
96 algorithm.input.setTable(training.data, dataTable)
97 algorithm.input.setModel(training.inputModel, initialModel)
99 algorithm.parameter.nFactors = nFactors
103 trainingResult = algorithm.compute()
109 algorithm = ratings.Batch()
110 algorithm.parameter.nFactors = nFactors
112 algorithm.input.set(ratings.model, trainingResult.get(training.model))
114 res = algorithm.compute()
116 predictedRatings = res.get(ratings.prediction)
118 printNumericTable(predictedRatings,
"Predicted ratings:")
120 if __name__ ==
"__main__":