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LightGBM implements a voting-parallel tree learner to reduce the communication overhead between nodes for datasets with a large number of features. Currently, I'm working on a project that requests on…
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Hello!
I am new to pyQSOfit and trying to achieve a fit to certain parameters to get a good fwhm for MgII - the only issue is, I'm not sure what the parameters are supposed to be. My fit appears to…
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Whether this is best done at the time of fitting (by masking out the pretrained head) or when creating the `MACECalculator`, there needs to be some way to clearly specify which head is used for predic…
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Problem:
[Multilabel classification tutorial](https://github.com/catboost/tutorials/blob/94e3bc9c3510ed69c2da7f544ec8979387419ec9/classification/multilabel_classification_tutorial.ipynb) works well…
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Hello,
I'm a rookie of Registration, I try to use your own dataset for testing, and found that the results of frequency subpixel are not very good (unstable), while the results of spatial sub-pixe…
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Would be good to have a fixest analogue of `sm.OLS` that lets one use raw matrices and sidestep the need to construct data frames. This would not do the current (admittedly quite user-friendly but no…
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I am using this crate to do curve fitting with 'nalgebra' that is an algebra crate. For all I know, most algebra library tends to use column-major matrix and store matrix in a vec storage. Hence, I th…
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### Problem Description
Hello
1- The filenames if it looks like "abc~1.mp4"
it will be converted, but when the software tries to save it it can't ,
you can remove the "~" or "~1" from t…
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Comments for [Fitting an Image in to a Canvas object](https://sdqali.in/blog/2013/10/03/fitting-an-image-in-to-a-canvas-object/index.html)
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Variational inference is supported by `Turing.vi()` and can be easily implemented using a custom `_fit` function.
See https://turing.ml/dev/tutorials/09-variational-inference/ for details about VI…