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Update GLM-robust.ipynb #356
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Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
View / edit / reply to this conversation on ReviewNB twiecki commented on 2022-06-02T12:17:36Z With the watermark below you can get rid of the print. |
View / edit / reply to this conversation on ReviewNB twiecki commented on 2022-06-02T12:17:37Z Is there a red line undeneath the black ones? seems really faint, not sure what in the code would cause that. conorhassan commented on 2022-06-02T13:05:06Z I agree that there looks like there is some faint colouring lines somewhere within the black ones, but there is nothing? there in the code that I can see. |
View / edit / reply to this conversation on ReviewNB twiecki commented on 2022-06-02T12:17:37Z
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View / edit / reply to this conversation on ReviewNB twiecki commented on 2022-06-02T12:17:38Z Fix span issue. |
View / edit / reply to this conversation on ReviewNB twiecki commented on 2022-06-02T12:17:39Z Try with |
View / edit / reply to this conversation on ReviewNB twiecki commented on 2022-06-02T12:17:39Z legend missing.
I'd probably just remove this plot because it's a bit redundant. |
View / edit / reply to this conversation on ReviewNB twiecki commented on 2022-06-02T12:17:40Z if you move the plot of the true regression further down and decrease alpha the red line should be more visible. |
View / edit / reply to this conversation on ReviewNB twiecki commented on 2022-06-02T12:17:41Z The next post will be about logistic regression in PyMC and what the posterior and oatmeal have in common. Can you remove this? |
To fix pre-commit you can try to remove the corresponding myst file of the same NB and that way trigger it being recreated. Make sure to also include that file in your commit. |
I agree that there looks like there is some faint colouring lines somewhere within the black ones, but there is nothing? there in the code that I can see. View entire conversation on ReviewNB |
1. [The Inference Button: Bayesian GLMs made easy with PyMC](http://twiecki.github.com/blog/2013/08/12/bayesian-glms-1/) | ||
2. [This world is far from Normal(ly distributed): Robust Regression in PyMC](http://twiecki.github.io/blog/2013/08/27/bayesian-glms-2/) | ||
3. [The Best Of Both Worlds: Hierarchical Linear Regression in PyMC](http://twiecki.github.io/blog/2014/03/17/bayesian-glms-3/) |
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Do some of these notebooks have also been adapted to examples here? If so I think it would be better to link to the updated version that will use v4 (with always each of the notebooks awknowledging they were adapted and linking to the original notebook)
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Yeah those haven't been ported.
Co-authored-by: Oriol Abril-Pla <oriol.abril.pla@gmail.com>
I think the tests are failing because of the internal links to other notebook. These need to be updated using myst references, see
where |
We currently have 3 PRs open for this same notebook: #356, #445, #451. And I am not sure how to go about this, git conflicts on notebooks are a nightmare. I might try to merge the myst and then update the notebook from it which might happen in a 4th PR overriding the current 3. I will take a look and work on this next week. Thank you all for the PRs, I'll make sure at the very least you are listed as co-author in the merged PR. |
@conorhassan |
Superseded by #472 |
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