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New Issues:
- [x] #120
- [ ] segment mandible with AI
- [ ] segment fibula with AI
- [ ] support metal inserts or slots
- [ ] set the setting once, since you'd not be changing you parameter soon,…
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I have a large-scale problem where I use the L1-regularized least square for compressed sensing by [ Stephen Boyd ](https://web.stanford.edu/~boyd/l1_ls/). However, the computation takes something lik…
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Hi all,
As in the title, is there a practical way to not use any penalty in the linear regression class ?
This is important because it is a common benchmark in regression algorithms.
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The code is available but was not tested nor validated.
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> Der nächste Schritt wäre einen Agenten mit zwei Optimierungsalgorithmen zu trainieren. Hierfür könnten Sie im Reinforcement Learning-Bereich den PPO und DQN Algorithmus verwenden. Sie könnten aber a…
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For regression centering the X matrix lead to similar model, than the one with intercept.
For classification (logistic regression) this is not the case. 3 approaches to address this issue
1) Dummy: Ad…
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Don't know what's going on behind the scenes but skimage TV is a fair bit quicker than your implementation. Could be looped in with something like the following:
```
from pyproximal.ProxOperator i…
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extract some shared functions there.
This would also mimic more the concept of layers in Whitepaper.
- [ ] all classes should extend from 1 `God` class - useful for adding global features to the cod…
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take #1300 for reference
Experimentation within Anomaly class would benefit from having direct access to SP/TP/Encoders and their properties.
This should be done either by explicitly providing link t…
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