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Hi, I just find an issue about the loss weights when `ofg_epoch=0`:
- When do ofg, the `loss_ofg` and `loss_reg` is added with weights.
~~~py
if ofg_epoch:
'''use ofg loss'''
…
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Discussion:
MATF meeting on July 17, 2024
[Source](https://www.w3.org/2024/07/17-matf-minutes.html#t02)
JJ: How might apps be different? Best practice?
Aashutosh: Talking about the use o…
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It'd be great to have benchmarks for all the crates -- parsing, binding, resolving, type checking, IR, the VM, and code generation. I like Criterion, but am open to other options.
sezna updated
2 months ago
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Discussion:
MATF meeting on June 12, 2024
[Source](https://www.w3.org/2024/06/12-matf-minutes.html#t04)
JJ: (explaining the intent of 3.1.2)
… software replaces page
… section 508 this is…
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Discussion:
MATF meeting on June 12, 2024
[Source](https://www.w3.org/2024/06/12-matf-minutes.html#t03)
JJ: in HTML there is lang attrivute - in apps there are localized resources - acknowl…
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I find the whole concept of "observed criterion" confusing and unnecessary. What are we trying to describe here? When is the last time anyone in MX applied some individual, per-reflection criteria a l…
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Thanks for sharing the code. I have a question about the line 25 in adapt.py (criterion = nn.CrossEntropyLoss() ). Since nn.LogSoftmax() is added in discriminator.py (line 21). Is it correct to use Cr…
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Implement a tool to stop the algorithm when some value (in the writer) go above some threshold. Typically for either early stopping or for stopping after a certain number of episodes.
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For columns with a wide range of the magnitude, e.g., ratios the comparison does not work well if `tolerance` is used. I would suggest to implement a relative criterion like in `proc compare` (https:/…
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I'm interested in the structure of Causal Forests, and especially in the criteria used to select the splits. With `get_tree` I was able to access the structure, but this does not seem to include this …