当我在主题建模开发人员指南中尝试示例代码时，我真的很想了解该代码输出的含义。
首先在运行过程中，它给出：
Coded LDA: 10 topics, 4 topic bits, 1111 topic mask
max tokens: 148
total tokens: 1333
<10> LL/token: -9,24097
<20> LL/token: -9,1026
<30> LL/token: -8,95386
<40> LL/token: -8,75353
0 0,5 battle union confederate tennessee american states
1 0,5 hawes sunderland echo war paper commonwealth
2 0,5 test including cricket australian hill career
3 0,5 average equipartition theorem law energy system
4 0,5 kentucky army grant gen confederates buell
5 0,5 years yard national thylacine wilderness parks
6 0,5 gunnhild norway life extinct gilbert thespis
7 0,5 zinta role hindi actress film indian
8 0,5 rings south ring dust 2 uranus
9 0,5 tasmanian back time sullivan london century
<50> LL/token: -8,59033
<60> LL/token: -8,63711
<70> LL/token: -8,56168
<80> LL/token: -8,57189
<90> LL/token: -8,46669
0 0,5 battle union confederate tennessee united numerous
1 0,5 hawes sunderland echo paper commonwealth early
2 0,5 test cricket south australian hill england
3 0,5 average equipartition theorem law energy system
4 0,5 kentucky army grant gen war time
5 0,5 yard national thylacine years wilderness tasmanian
6 0,5 including gunnhild norway life time thespis
7 0,5 zinta role hindi actress film indian
8 0,5 rings ring dust 2 uranus survived
9 0,5 back london modern sullivan gilbert needham
<100> LL/token: -8,49005
<110> LL/token: -8,57995
<120> LL/token: -8,55601
<130> LL/token: -8,50673
<140> LL/token: -8,46388
0 0,5 battle union confederate tennessee war united
1 0,5 sunderland echo paper edward england world
2 0,5 test cricket south australian hill record
3 0,5 average equipartition theorem energy system kinetic
4 0,5 hawes kentucky army gen grant confederates
5 0,5 years yard national thylacine wilderness tasmanian
6 0,5 gunnhild norway including king life devil
7 0,5 zinta role hindi actress film indian
8 0,5 rings ring dust 2 uranus number
9 0,5 london sullivan gilbert thespis back mother
<150> LL/token: -8,51129
<160> LL/token: -8,50269
<170> LL/token: -8,44308
<180> LL/token: -8,47441
<190> LL/token: -8,62186
0 0,5 battle union confederate grant tennessee numerous
1 0,5 sunderland echo survived paper edward england
2 0,5 test cricket south australian hill park
3 0,5 average equipartition theorem energy system law
4 0,5 hawes kentucky army gen time confederates
5 0,5 yard national thylacine years wilderness tasmanian
6 0,5 gunnhild including norway life king time
7 0,5 zinta role hindi actress film indian
8 0,5 rings ring dust 2 uranus number
9 0,5 back london sullivan gilbert thespis 3
<200> LL/token: -8,54771
Total time: 6 seconds
所以问题1：第一行的“编码LDA：10个主题，4个主题位，1111个主题掩码”是什么意思？我只知道“10 个主题”是关于什么的。
问题2：“ <10> LL/token：-9,24097 <20> LL/token：-9,1026 <30> LL/token：-8,95386 <40> LL/token：- 8,75353" 是什么意思？这似乎是 Gibss 采样的一个指标。但它不是单调递增的吗？
之后，将打印以下内容：
elizabeth-9 needham-9 died-7 3-9 1731-6 mother-6 needham-9 english-7 procuress-6 brothel-4 keeper-9 18th-8.......
0 0.008 battle (8) union (7) confederate (6) grant (4) tennessee (4)
1 0.008 sunderland (6) years (6) echo (5) survived (3) paper (3)
2 0.040 test (6) cricket (5) hill (4) park (3) career (3)
3 0.008 average (6) equipartition (6) system (5) theorem (5) law (4)
4 0.073 hawes (7) kentucky (6) army (5) gen (4) war (4)
5 0.008 yard (6) national (6) thylacine (5) wilderness (4) tasmanian (4)
6 0.202 gunnhild (5) norway (4) life (4) including (3) king (3)
7 0.202 zinta (4) role (3) hindi (3) actress (3) film (3)
8 0.040 rings (10) ring (3) dust (3) 2 (3) uranus (3)
9 0.411 london (4) sullivan (3) gilbert (3) thespis (3) back (3)
0 0.55
这部分的第一行可能是token-topic assignment，对吧？
问题3：对于第一个主题，
0 0.008 battle (8) union (7) confederate (6) grant (4) tennessee (4)
0.008 被称为“主题分布”，是不是这个主题在整个语料库中的分布？然后好像有冲突：如上图的topic 0，其token会在copus中出现8+7+6+4+4+...次；相比之下，主题 7 在语料库中有 4+3+3+3+3... 次被识别。结果，主题 7 的分布应该低于主题 0。这是我无法理解的。更进一步，最后那个“0 0.55”是什么？
非常感谢您阅读这篇长文。希望您能回答它，并希望这对其他对 Mallet 感兴趣的人有所帮助。
最好的