Does lightgbm_predict4j suit for the model generated by lightgbm v2.0.5 or higher? #3
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For there are some friends meeting the same problem as list above email me to ask whether i solved it, i share the trick i used which is possibly not right but a compromise method: "I initialized the private double[] defaultValue; in the org.lightgbm.predict4j.v2.Tree with 0s , or you can substitute it with other values reasonable". Welcome masters to share perfect manners. |
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Please see my PR (or fork) for support of v2. |
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#4 |
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What you set as default_value, i.e. what the value should take if it's missing, should be up to the modeller really - I haven't looked into the lightgbm implementation in any detail to see how missing values are handled. It seems that default_value is entirely deprecated in the newer lightgbm releases (and therefore it's also not in the model file when saved from lightgbm). lightgbm_predict4j is behind in that it still expects it. The way, I've included it, is that you can still include default_value in the model if you want to set it. It's set to 0.0 if not set otherwise. It might be worthwhile to make sure lightgbm_predict4j (particularly v2) reflects the latest version of the lightgbm format. |
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@benman1 Hello! Why feed different features to the model and the predicted results are the same? |
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Please explain clearly what you mean, maybe give an example, show your code, etc; otherwise, I am afraid it's not possible to answer. |
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@benman1 What does default_value mean? |
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@benman1 Hello! In addition, I found that this prediction code has scoring errors when making binary prediction, for example, the label-1 sample probability score will be less than that labele-0 sample. |
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I asked you for a clearer description of the problem. I still haven't seen
it. I can't answer your question unless you explain clearly. For example,
could you break it down so I can replicate it?
…On Fri, 26 Apr 2019, 13:19 周杰, ***@***.***> wrote:
@benman1 <https://github.com/benman1> Hello! In addition, I found that
this prediction code has scoring errors when making binary prediction, for
example, the label-1 sample probability score will be less than that
labele-0 sample.
[image: image]
<https://user-images.githubusercontent.com/10007145/56806977-13368500-6860-11e9-8885-35825eb3eaad.png>
Excuse me, is this problem related to default_value?
Looking forward to your reply~
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@benman1 I'm really sorry for not explaining my problem clearly. At present, I have found the problem, from my code. Thank you very much for your recent help. Thank you very much.~ |
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No problem. I am happy you find the code useful.
…On Sun, 28 Apr 2019, 03:38 周杰, ***@***.***> wrote:
@benman1 <https://github.com/benman1> I'm really sorry for not explaining
my problem clearly. At present, I have found the problem, from my code.
Thank you very much for your recent help. Thank you very much.~
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兄弟，这个问题有结论了吗？lightgbm_predict4j到底能否适用于lightgbm v2.0.5更高版本的模型？ |
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I was having trouble with lgbm model 2.3.2 (2020 May) and had defaultvalue null array exception. anyways, thank you for the issue raising here! ( LGBM is so huge, and I don't understand why people don't have much interest on developing java version. All of the people are talking about AI stuff and writing a book, but never take themselves into deep level of a production. phew..) |
hello, do you remember what the problem is in your code. I got the difference between lightgbm_predict4j and lightgbm_python, and i dont know what's wrong with my code. |
i know what happened...this java implement does not support "category feature".. |
I got the same question as u meet when i used lightgbm 3.34 or higher. Are you fix it? |
Noticed here exists a demo suit for v2, and i can run the UseageTest in v2 package successfully, while when i use a model generared by lightgbm v2.0.5, it produced a error: "[Tree] Tree model string format error, should contain default_value field". The default_value is contained in models generated by lightgbm's earlier version. The model file cause the error is attached below.
Thanks for any kind help in advance!
lgbm_test.txt
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