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< jonpsy[m]> zoq say4n Yo. I think MOEAD/DE is done. All tests pass. Could you review?
< jonpsy[m]> Only weight init and decompose policy impl is remaining which I think should be done in follow up PR.
< jonpsy[m]> Also, would be nice if ZDT is merged I'll add it to my test case. Thanks
< zoq> jonpsy[m]: I think the plan was to merge ZDT after the weekend, in case James has some comments.
< jonpsy[m]> Ah! Thanks for reminding
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< jonpsy[m]> the std::move part, will it be beneficial? (I wont require b)
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< jonpsy[m]> <jonpsy[m] "the std::move part, will it be b"> Nvm, it isn't
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< swaingotnochill[> ryan can you upload them so that I can download them in examples notebook?
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< swaingotnochill[> zoq I am trying to run the notebook on colab for python binding. When I try to run mlpack.linear_regression(with all the parameters)
< swaingotnochill[> It throws this error
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< zoq> swaingotnochill[: Any reason to use lambda = 0.5?
< swaingotnochill[> NO...even without that its not working
< zoq> swaingotnochill[: You might want to select e.g. one dimension of the data and check if that works and if it does include another dimension.
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< swaingotnochill[> @It worked for one dimension of data, but when I include the rest of the dimensions, it throws same error
< swaingotnochill[> (edited) @It worked for one dimension of data, but when I include the rest of the dimensions, it throws same error => zoq It worked for one dimension of data, but when I include the rest of the dimensions, it throws same error. PS- I am running python binding.
< zoq> swaingotnochill[: The binding binding should be fine, but can you test the exectuable as well?
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< swaingotnochill[> I didn't understand
< zoq> My suggestion is to build mlpack e.g. locally or on colab and run the `mlpack_linear_regression` executable from the command-line.
< zoq> Just to make sure this is not an issue with the python binding.
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< swaingotnochill[> <zoq "https://mlpack.org/doc/mlpack-gi"> It did compiled in terminal properly
< swaingotnochill[> <zoq "Wondering if it is related to - "> May be ..not sure though...I tried putting some dependent features, it throwed the same warning but at the end it compiled in terminal
< swaingotnochill[> <swaingotnochill[ "May be ..not sure though...I tri"> But this does not seems to be the case with the python bindings?
< swaingotnochill[> <swaingotnochill[ "But this does not seems to be th"> Should I then Scale the data and then use linear regression?
< zoq> So you get some results if you use the command line executable?
< zoq> Sorry a bit confused here.
< swaingotnochill[> Can you take a look at the colab file ?
< zoq> I can.
< zoq> So, not sure you did this already, I would save `train_set` as csv e.g. train_set.to_csv("data.csv")
< zoq> And check if the command-line executable fails as well.
< zoq> To me it sounded like you did that already?
< zoq> And it worked.
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< swaingotnochill[> Yaah
< swaingotnochill[> It gives out that warning but attempts approx solution
< swaingotnochill[> but this doesn
< swaingotnochill[> (edited) ... this doesn => ... this doesn't happens in notebook..the execution stops
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< swaingotnochill[> Any way to fix this issue on notebook?
< swaingotnochill[> (edited) ... execution stops => ... execution stops there
< zoq> is `train_labels` two dimensional?
< swaingotnochill[> No
< zoq> Hm, maybe I skiped a step.
< zoq> let me rerun
< zoq> Hm, maybe the pything binding dosn't handle the warning correctly.
< zoq> Can you open an issue with a minimal example?
< swaingotnochill[> Sure....
< zoq> Maybe that rings a bell on Ryan's side.
< zoq> But that way it's easier to reproduce.
< rcurtin[m]1> hmm, I don't remember anything immediately, but if you can file an issue I'll look into it 😃
< swaingotnochill[> 🙂
< zoq> I guess if the executable prints out a warning, the python binding just ignores that warning?
< rcurtin[m]1> that is true, it's just a warning, so no action is taken
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< zoq> And if it works on the command-line I can't see why it shouldn't work via the binding interface.
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< swaingotnochill[> The behaviour is strange. David did a multi variable linear regression, it worked fine..but its not working for me.
< zoq> You mean David's example is not working on colab?
< swaingotnochill[> Noo..I mean David's example worked just fine...
< swaingotnochill[> <rcurtin[m]1 "hmm, I don't remember anything i"> I have added the colab file link with viewing...I think this can be an example
< swaingotnochill[> > <undefined>
< swaingotnochill[> (edited) ... viewing...I think this can be an example => ... viewing...I hope it might be easy to check the error
< rcurtin[m]1> thanks, I'll take a look when I have a chance thunfisch
< rcurtin[m]1> * thanks, I'll take a look when I have a chance 👍️
< rcurtin[m]1> (oops, hit tab on the ':thumbsup:' too early, sorry to the user who I mistakenly tagged 😃)
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