def main(readcsv=read_csv, method='defaultDense'):
nFactors = 2
infile = "./data/batch/implicit_als_dense.csv"
# We load the data
data = readcsv(infile)
# configure a implicit_als init object
algo1 = d4p.implicit_als_training_init(nFactors=nFactors, method=method)
# and compute initial model
result1 = algo1.compute(data)
# configure a implicit_als training object
algo2 = d4p.implicit_als_training(nFactors=nFactors, method=method)
# and compute model using initial model
result2 = algo2.compute(data, result1.model)
# Now do some prediction; first get prediction algorithm object
algo3 = d4p.implicit_als_prediction_ratings(nFactors=nFactors)
# and compute
result3 = algo3.compute(result2.model)
# implicit als prediction result objects provide prediction
assert (result3.prediction.shape == data.shape)
return result3
def daal4py_als(A, k):
algo1 = d4p.implicit_als_training_init(nFactors=k)
result1 = algo1.compute(A)
algo2 = d4p.implicit_als_training(nFactors=k)
result2 = algo2.compute(A, result1.model)