The origin of this issue is that y_pred should be replaced by y_pred['score'] for this particular task (as the function predict in termfreq.pyreturns a dictionary).
This is also the case in the other function aggregate_s0.
Still after fixing this, I get another issue:
... /tools/pysts/eval.py", line 122, in mrr if yy[1] in ysd: TypeError: unhashable type: 'numpy.ndarray'
I appreciate your feedback on this issue or on whether I am running something incorrectly.
Hi,
Thanks for this useful project. There is an issue I guess in the evaluation of the termfreq model.
I'm running:
python3 tools/train.py termfreq anssel ./data/anssel/wang/train.csv ./data/anssel/wang/test.csv inp_e_dropout=1/2 nb_epoch=1However, I get this error:
"... tools/pysts/eval.py", line 28, in binclass_accuracy rawacc = np.sum((ypred > 0.5) == (y > 0.5)) / ypred.shape[0]TypeError: unorderable types: dict() > float()The origin of this issue is that
y_predshould be replaced byy_pred['score']for this particular task (as the functionpredictintermfreq.pyreturns a dictionary).This is also the case in the other function
aggregate_s0.Still after fixing this, I get another issue:
... /tools/pysts/eval.py", line 122, in mrr if yy[1] in ysd: TypeError: unhashable type: 'numpy.ndarray'I appreciate your feedback on this issue or on whether I am running something incorrectly.