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Dear Colleagues,
for "Due" and "IT" in the IterationControl only the first value from the theta vector is compared with the value from the previous iteration. Therefore, the following warning is gene…
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The focus_finding variables such as `NA_Illumination` and `emission_wavelength` are currently hardcoded in #128 in [line](https://github.com/czbiohub-sf/shrimPy/blob/f9f482983b314bf75b8150698f2deb1077…
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## Theoretical consideration:
- https://en.wikipedia.org/wiki/Linear_regression
## User interface (scikit like)
* 1D fit
* varX, varY, weightY
* in root we use errY in scikit weights are …
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This is a follow-up to the discussion in #270. Discussion link https://github.com/PyAbel/PyAbel/pull/270#discussion_r401357196
Both the basex and rbasex method can accept regularization factors, wh…
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It would be interesting to see how adjusting the activation functions influence the predictions. I also get the impression that data representation as well as constraining of neural networks could be …
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I have a few questions regarding the Taskspace costfunction term you provide in the rbd module:
https://github.com/ethz-adrl/control-toolbox/blob/v3.0.2/ct_rbd/include/ct/rbd/robot/costfunction/Term…
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https://github.com/glm-tools/pyglmnet/blob/b403bac72f5a227a9c34e38bfef1ff0c937b7720/pyglmnet/utils.py#L85
Should be:
`S_inv = 1. / S_inv`
Otherwise, small singular values would be close to not …
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With separable data, we seek to maximize the geometric margin, and that gives hard-margin SVM. Without separable data, need to maintain clarity on "geometric margin" is and how it connects to slack. …
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> Machine learning focuses on prediction, based on known properties learned from the training data.
- In addition to retail, in finance banks analyze their past data to build models to use in credit ap…
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I've been training the `gpuCTM` model and I noticed that after the initial phase of increase in ELBO the training started to yield negative delta ELBO values (this happend after ~1000-10000 iterations…