24 import daal.algorithms.implicit_als.training.init
25 import daal.algorithms.implicit_als.prediction.ratings
26 from daal.algorithms.implicit_als
import training, prediction
27 from daal.data_management
import FileDataSource, DataSourceIface
29 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
30 if utils_folder
not in sys.path:
31 sys.path.insert(0, utils_folder)
32 from utils
import printNumericTable
34 DAAL_PREFIX = os.path.join(
'..',
'data')
37 trainDatasetFileName = os.path.join(DAAL_PREFIX,
'batch',
'implicit_als_dense.csv')
47 def initializeModel():
48 global dataTable, initialModel
51 dataSource = FileDataSource(
52 trainDatasetFileName, DataSourceIface.doAllocateNumericTable,
53 DataSourceIface.doDictionaryFromContext
57 dataSource.loadDataBlock()
59 dataTable = dataSource.getNumericTable()
61 initAlgorithm = training.init.Batch()
62 initAlgorithm.parameter.nFactors = nFactors
65 initAlgorithm.input.set(training.init.data, dataTable)
66 res = initAlgorithm.compute()
69 initialModel = res.get(training.init.model)
76 algorithm = training.Batch()
79 algorithm.input.setTable(training.data, dataTable)
80 algorithm.input.setModel(training.inputModel, initialModel)
82 algorithm.parameter.nFactors = nFactors
85 trainingResult = algorithm.compute()
91 algorithm = prediction.ratings.Batch()
92 algorithm.parameter.nFactors = nFactors
94 algorithm.input.set(prediction.ratings.model, trainingResult.get(training.model))
96 res = algorithm.compute()
97 predictedRatings = res.get(prediction.ratings.prediction)
99 printNumericTable(predictedRatings,
"Predicted ratings:")
101 if __name__ ==
"__main__":