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From what I can tell, linear models are not run by default in version 0.3.1. What is the reason? Would you consider adding them to the default hyperparameters file?
To run these models do I just use …
knoam updated
5 months ago
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Add generalized linear model support.
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I am trying some analyses in which I take a movie and play it through the cone models. When I do this for the linear model there are some pixels that are "dead" - i.e. are not modulated. The biophys…
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Hello,
One of the main use cases when deploying real-world models is to train several "expert models" on different subtasks of the main inference task, then using some linear combination of them to…
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not using the pretrained model from AffectNet8_Swin_Combined, the codes are as following on AffectNet8_Swin_VA,
MODEL = models.swin_v2_t(weights="DEFAULT")
# MODEL.head = torch.nn.Linear(in_…
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Some questions and suggestions came to mind when I read about the gradient descent method:
- In section [Gradient Descent](https://ml-course.github.io/master/notebooks/02%20-%20Linear%20Models.html…
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Here is what I think I would like to do, although open to suggestion:
Univariate and multivariate regression analysis with the following predictor variables: AA_Steroid_IND + AA_Polyclonal_IND + AA_…
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It would be nice to have support for non-linear models like `nls`, `nlrob` or `nlmer`, but I have no experience with such models and no idea what might be important to extract.
See the first exampl…
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The lecture `linear_models.rst` needs to be updated to current style and to reflect existence of new AR1 lecture added in QuantEcon/lecture-source-py#815
jstac updated
4 years ago
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Right now the basic linear models is not supported. Which is a shame, cause they are often quite useful.
From [sklearn.linear_model](https://scikit-learn.org/stable/modules/classes.html#module-skle…