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The following models fail in result comparison.
Tested revision: f9bddf86 (2024-02-16)
Changed models, need reference update after library officer check:
- [ ] Modelica.Mechanics.MultiBody.Exampl…
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This looks like a recent hot topic mainly for machine learning.
Basic idea: use calibration data, separate from estimation/training data, to estimate quantiles and prediction sets or intervals for …
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Applied regression analysis
@draper1998applied
- plotting of residuals is a standard technique for all regression analyses
- In practice, we most often look at a plot of the spreads of the repe…
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So a couple things that came up in our meetings were:
- That time-course data would be very useful
- What new algorithms may have corrected the problems in SPADE?
I just found a paper with time-cours…
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Hello,
So far I see only regression loss incorporated. I'm curious if you plan to incorporate class response variable(s) via perhaps adjusting output activation using sigmoid or tanh. For example…
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summary currently has autocorrelation and normality tests, but they are just available in the summary tables. Heteroscedasticity, outlier and (non)linearity diagnostics are missing.
I might also be n…
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See `In [5]` of https://github.com/EderSantana/seya/blob/master/examples/Spatial%20Transformer%20Networks.ipynb where the localisation network is defined.
Is there a reason why the `Convolution2D` la…
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We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep trac…
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This is a question for how much we already support and what we still need to support this usecase.
I just saw that PASS has equivalence tests for Poisson rates and Binomial proportion
https://ncss…
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Oftentimes, deep learning is not the best approach. I think one rule (possibly even the first in the article) should be a warning against using DL when it's not needed.