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Hi!
I have just the author names data, and I want to just run this data against the pre-trained model
Is it something this module allows?
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To calculate quaternion using gyroscope by integration of measurement, the factor is not 1/2 but -1/2 (sign error).
qDot = -0.5*self.Omega(gyr) @ q # Quaternion derivative (e…
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# 🙋 Feature Request
I'd like an option to quickly add Google Mobility data (https://www.google.com/covid19/mobility/) difference from baseline as a daily mitigation intervention.
## 🔦 Context
I'm…
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Currently each model that needs it defines their own losses, it might be useful to put them all in one place to see if anything could be re-used in the future.
In particular, losses are defined in,…
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## Evaluation
- [ ] Extend evaluation API and functionality to single dataset case, currently only multiple dataset case is supported
## Performance metrics
A few implementation notes:
- V…
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[GOOD MATH](https://learning.oreilly.com/library/view/good-math/9781941222546/f_0012.html)
- [ ] [ 1부 숫자](https://learning.oreilly.com/library/view/good-math/9781941222546/f_0012.html)
- [x] [1 N…
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I'm doing segmentation on images with 3 classes, instead of 2. So I changed
`dice_loss = sm.losses.DiceLoss(class_weights=np.array([1, 2, 0.5])) `
to
`dice_loss = sm.losses.DiceLoss(class_wei…
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The prognostic model presented in the [2018 TLID paper](https://www.thelancet.com/journals/laninf/article/PIIS1473-3099(18)30121-X/fulltext) is a very simply logistic regression model with the followi…
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May I know which paper did you implement the algorithm from?
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In ch2 Logistic example, when we assume our data follows logistic, why then use Bernoulli after that? In previous examples we only had an assumption of the data distribution and calculated the likelyh…