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[log4j.txt](https://github.com/Azure/mmlspark/files/3539284/log4j.txt)
Following this example: https://github.com/Azure/mmlspark/blob/master/notebooks/samples/HyperParameterTuning%20-%20Fighting%…
S-C-H updated
5 years ago
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#### 02.11
1. Introduction 整理 ✅
2. Background 整理 ✅
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Thanks @andrasfuchs for trying out the notebooks and providing feedback:
This feedback is specific to the [Training and AutoML notebook](https://github.com/dotnet/csharp-notebooks/blob/main/machine…
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There are several evaluation metrics that would be particularly beneficial for (binary) imbalanced classification problems and would be greatly appreciated additions. In terms of prioritizing implemen…
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您好,在Ghostbottleneck中,有用到expansion ratio进行通道扩张,这个最优的expansion ratio是怎么得到的呢?您能指点指点吗
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Hi!
I wanted to check in about the weights in the bag prior. It seems they are 0.961 for the MLP and 0.038 for the GP. Does that seem right? That's what I got after MCMC'ing out the double sampling.
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To be honest I think the previous 75+ acc was a misreport because his previous version has the attention part with much more params.
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I ran ``coverage run --source=robo -m unittest discover test -v`` and got
```
======================================================================
ERROR: test_bayesian_optimization (test_fmin.t…
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hi, thank you for your great work! since official code and weights have been released, is it possible to port official weights to your repo?
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Currently, H2O stores two different versions of the cross-validation metrics. There is one version stored in the "Cross-validation metrics table" (which are the true CV metrics, averaged across folds…