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I haven't ever posted here, but I've been intermittently lurking for some time, in order to understand which kind of questions get asked here. In particular, I see that implementation questions are off-topic, but I've seen a few implementation-related questions such as this one:

RNN LSTM not converging with Adam

EDIT: I rephrase my question to avoid misunderstandings. Your help pages says that questions about "[..]the implementation of machine learning" are off-topic here, however it seems to me that a few questions with code are accepted (but I may be wrong! Please let me know if this is the case). So, do you accept questions containing code, as long as they are not exceedingly focused on implementation details?

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From a quality incentive point of view, questions become most dysfunctionally off topic when they either

  • Interfere with inter-SE community peace by disrespecting the boundaries of naturally overlapping site betas or
  • Present hacked code with dozens of conceptual and code level bugs for others to pile through and debug for the question author (who is essentially looking for free teacher-slaves on our site).

These people are not wrong or bad, just children of the community and should be provided with our reasoning in a compassionate and rational way. If they are responsive to compassion and logic, they will get it and likely become more contributive.

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If i understood your question right, you're building a prediction model to anticipate the reaction of SE.AI to certain events. For example, if a user is posting a text about problems in the error-rate in the RNN network into the form, the following reaction can be there. First, the question is ignored ot a moderator can flag it as offtopic, the posting gets lots of upvotes or the posting gets an answer which brings the forum forward.

Creating such a prediction model for an online-discussion room is an important step because it helps to avoids pitfalls. If somebody is sure, that questions about Artificial Intelligence in movies (only an example) are off-topic on this website, he can adapt his behavior and won't post such questions. If the prediction model is right, the user can increase his score and avoid off-topic flags given by others. So the question is: what is the community doing in reaction to a post? are rules available for saying so in advance?

There are some measurements available. At first, every online-forum has an archive which allows to understand reactions in the past, secondly every forum has a certain form of users interacting with the forum. In the case of SE.AI most users are interested in new technology which is Artificial Intelligence and they come with a background in computer science. But, other users are not focused on academic AI, instead they have listen to the AI Influencer Sirai Raval, who is marketing neural networks to everybody.

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  • $\begingroup$ I like the idea of building a model to predict if a question is on-topic or off-topic, but my question was much simpler: maybe I used an excessively formal tone ("hypothesize", "deemed acceptable according to customs", etc.). I'll change the tone a bit to be more clear. I just want to know if questions with a bit of code are still welcome here, even if your help pages say that questions about "[..]the implementation of machine learning" are off-topic. $\endgroup$ – DeltaIV Dec 31 '18 at 9:35
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Speaking as a mod, I tend to use a light touch in regard to migrating many of these potentially out-of-scope questions. (Similar to avoiding closing questions by fiat, in all but the most egregious, preferring to follow the will of the community.)

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