TinghuiWang /
pyActLearn
| @@ 609-623 (lines=15) @@ | ||
| 606 | f.write('\\\\ \n') |
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| 607 | f.write('\\hline \n') |
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| 608 | for i, activity in enumerate(classes): |
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| 609 | if i != bg_class_id: |
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| 610 | if i == 0: |
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| 611 | f.write('\multirow{%d}{*}{Precision} & ' % (len(classes) - 1)) |
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| 612 | else: |
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| 613 | f.write(' & ') |
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| 614 | f.write('%s ' % activity.replace('_', '\_')) |
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| 615 | # Find maximum and store index |
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| 616 | temp_array = np.array([pmp[j][i,0] for j in range(len(methods))]) |
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| 617 | max_index = temp_array.argpartition(-2)[-2:] |
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| 618 | for j, method in enumerate(methods): |
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| 619 | if j in max_index: |
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| 620 | f.write('& \\textbf{%d/%.2f\\%%} ' % (pmr[j][i,0], pmp[j][i,0]* 100)) |
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| 621 | else: |
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| 622 | f.write('& %d/%.2f\\%% ' % (pmr[j][i,0], pmp[j][i,0]* 100)) |
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| 623 | f.write('\\\\ \n') |
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| 624 | f.write('\\hline \n') |
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| 625 | ||
| 626 | ||
| @@ 592-606 (lines=15) @@ | ||
| 589 | f.write('& %s' % method.replace('_', '\_')) |
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| 590 | f.write('\\\\ \\hline \n') |
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| 591 | for i, activity in enumerate(classes): |
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| 592 | if i != bg_class_id: |
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| 593 | if i == 0: |
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| 594 | f.write('\multirow{%d}{*}{Recall} & ' % (len(classes) - 1)) |
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| 595 | else: |
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| 596 | f.write(' & ') |
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| 597 | f.write('%s ' % activity.replace('_', '\_')) |
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| 598 | # Find maximum and store index |
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| 599 | temp_array = np.array([rmp[j][i,0] for j in range(len(methods))]) |
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| 600 | max_index = temp_array.argpartition(-2)[-2:] |
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| 601 | for j, method in enumerate(methods): |
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| 602 | if j in max_index: |
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| 603 | f.write('& \\textbf{%d/%.2f\\%%} ' % (rmr[j][i,0], rmp[j][i,0]* 100)) |
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| 604 | else: |
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| 605 | f.write('& %d/%.2f\\%% ' % (rmr[j][i,0], rmp[j][i,0]* 100)) |
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| 606 | f.write('\\\\ \n') |
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| 607 | f.write('\\hline \n') |
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| 608 | for i, activity in enumerate(classes): |
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| 609 | if i != bg_class_id: |
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