We are so thrilled that number of Pylearn2 users is growing each day. With growth there is a heavier traffic on the mailing list. Pylearn2 and its mailing list are mainly maintained by graduate students at LISA lab. Each one of us has their own research projects and hopefully some life outside the lab. Our resources are limited and we prefer these limited resources to be invested in fixing real bugs and answering relevant questions. Also please notice that replying to the mailing list is out of courtesy of the pylearn2 developers. Please read below FAQ section before posting a question to the mailing list.
If you do not have much experience with python, Theano, Linux shell, setting environmental variables and other basics, please spend some time learning them. A simple google search usually will answer your question and places like stackoverflow are an excellent resources for these sort of questions.
Take a look at here here. for list of pylearn2 environmental variables.
As stated here here., the library is mainly intended for ML researchers, nonetheless we are happy that the user scope is larger now. But if you have machine learning problem or a research question, places like metaoptimze, Google Plus Machine learning and Deep Learning groups would be the appropriate places to ask. And if you can’t find your answers there, perhaps you need to hire a ML consultant.
Most of the models in ML have a set of hyper-parameters that need to be tuned. The expertise of how to tune those comes from better understanding of the theory and experience. There is some research in this area, search for hyper-parameter optimization in literature. Using the right model for the right data, proper data pre-processing are other factors that should be paid attention to.
Search through the documentation pages and source codes. grep and find are your saviors. If nothing comes up, probably it is not developed yet. We will receive your pull request with open arms if you implement what you were looking for.
Pylearn2 is under rapid development to fit the needs of LISA members’ research. Sometimes we have shipped a feature fast without documentation. But now there are unit-tests at work that will prevent any new PR without documentation to be merged. Hopefully soon the whole library will be well documented. We always welcome pull requests adding documentation and tutorials and are more likely to answer questions about how to use undocumented methods if you’re asking because you’re working on a documentation pull request
Before posting your question, search the mailing list archive, someone might have answered your question already there.
If you have found a bug or want to develop a new feature pyelarn2-dev list would be the right list. All other questions should go to pylearn-users.
We can’t read your mind yet, nor do we have access to NSA data. So please follow these instructions before reporting a bug so that we can understand it better and reproduce the error.
the latest development version from the git repo. Both Pylearn2 and Theano are under active development, please take a moment to update them and see if the error still exists. here.
Pylearn2 is not a end-user customer product, it’s an open source library, try to dig into soure code and find the cause of the error
detailed procedure for reproducing the error. The code, the command to execute it and the whole error stack trace.
Please only use plain-text in the email and avoid using formatting or attaching screenshots.
Look at here.
Are you sure your question was not covered here?
will be very busy during conference deadlines, and many students do summer internships. So unfortunately during those times it might take longer to answer your questions.
None of us work in Windows or even have access to it. But feel free to post your question, maybe some of the other users might be able to help you.
You would be flagged as moderated.