zziwei / fairness-in-cold-start-recommendation Goto Github PK

  File "main.py", line 239, in <module>
    main()
  File "main.py", line 126, in main
    recall_k=recall_at, eval_data=cold_test_eval, R=R)
  File "/<path>/Fairness-in-Cold-Start-Recommendation/Scale/utils.py", line 98, in batch_eval_recall
    z = y.multiply(x)
  File "/<path>/anaconda2/envs/fairness_recs_tf1/lib/python3.6/site-packages/scipy/sparse/base.py", line 336, in multiply
    return self.tocsr().multiply(other)
  File "/home/athtrch/anaconda2/envs/fairness_recs_tf1/lib/python3.6/site-packages/scipy/sparse/compressed.py", line 373, in multiply
    other = self.__class__(other)
  File "/<path>/anaconda2/envs/fairness_recs_tf1/lib/python3.6/site-packages/scipy/sparse/compressed.py", line 34, in __init__
    arg1 = arg1.asformat(self.format)
  File "/<path>/anaconda2/envs/fairness_recs_tf1/lib/python3.6/site-packages/scipy/sparse/base.py", line 322, in asformat
    return convert_method(copy=copy)
  File "/<path>/anaconda2/envs/fairness_recs_tf1/lib/python3.6/site-packages/scipy/sparse/lil.py", line 462, in tocsr
    _csparsetools.lil_get_lengths(self.rows, indptr[1:])
  File "_csparsetools.pyx", line 109, in scipy.sparse._csparsetools.lil_get_lengths

preds_k = preds_all[:, :at_k]
at_k = preds_k.shape[1]
y = eval_data.R_test_inf

x = scipy.sparse.lil_matrix(y.shape)
x.rows = preds_k
x.data = np.ones_like(preds_k)