mycase = assayname + '_' +str(fold_id)
mycasemore = mycase + '_pct_' + str(encoding_rate)+'_epochs_100_sigmoid'
test_path = 'encoder/testdata_sampled_encoded_new/' + mycasemore + '.test'
if rank_function == 0:
pred_path = 'svm_rank_pred_sampled_new/' + mycasemore + '.pred'
else:
pred_path = 'svm_light_pred_sampled_new/' + mycasemore + '.pred'
[ndcg10,ndcg5,ndcgall, rank_length] = get_ndcg(test_path, pred_path,only_active=0)
if ndcg5 != 0:
ndcg5_this_assay.append(ndcg5)
else:
print 'empty path', test_path, pred_path
if ndcg10 != 0:
ndcg10_this_assay.append(ndcg10)
if ndcgall != 0:
ndcgall_this_assay.append(ndcgall)
# average of the ndcg
avg_ndcg10 = numpy.average(ndcg10_this_assay)
avg_ndcg5 = numpy.average(ndcg5_this_assay)
avg_ndcgall= numpy.average(ndcgall_this_assay)
ndcgall_this_assay = []
mycase = assayname + '_' + str(fold_id)
mycasemore = mycase + '_pct_' + str(
encoding_rate) + '_epochs_100_sigmoid'
test_path = 'encoder/testdata_sampled_encoded_new/' + mycasemore + '.test'
if rank_function == 0:
pred_path = 'svm_rank_pred_sampled_new/' + mycasemore + '.pred'
else:
pred_path = 'svm_light_pred_sampled_new/' + mycasemore + '.pred'
[ndcg10, ndcg5, ndcgall, rank_length] = get_ndcg(test_path,
pred_path,
only_active=0)
if ndcg5 != 0:
ndcg5_this_assay.append(ndcg5)
else:
print 'empty path', test_path, pred_path
if ndcg10 != 0:
ndcg10_this_assay.append(ndcg10)
if ndcgall != 0:
ndcgall_this_assay.append(ndcgall)
# average of the ndcg
avg_ndcg10 = numpy.average(ndcg10_this_assay)
avg_ndcg5 = numpy.average(ndcg5_this_assay)
avg_ndcgall = numpy.average(ndcgall_this_assay)
mycase = assayname + '_' +str(fold_id)
mycasemore = mycase + '_pct_' + str(encoding_rate)+'_epochs_100_only_nz'
test_path = 'encoder/testdata_sampled_encoded_new/' + mycasemore + '.test'
if rank_function == 0:
pred_path = 'svm_rank_pred_sampled_new/' + mycasemore + '.pred'
else:
pred_path = 'svm_light_pred_sampled_new/' + mycasemore + '.pred'
[ndcg10,ndcg5,ndcgall, rank_length] = get_ndcg(test_path, pred_path, 1)
if ndcg5 != 0:
ndcg5_this_assay.append(ndcg5)
else:
print 'empty path', test_path, pred_path
if ndcg10 != 0:
ndcg10_this_assay.append(ndcg10)
if ndcgall != 0:
ndcgall_this_assay.append(ndcgall)
# average of the ndcg
avg_ndcg10 = numpy.average(ndcg10_this_assay)
avg_ndcg5 = numpy.average(ndcg5_this_assay)
avg_ndcgall= numpy.average(ndcgall_this_assay)