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I've tested the ConfusionMatrix and got results similar to the one in [https://en.wikipedia.org/wiki/Matthews_correlation_coefficient](https://en.wikipedia.org/wiki/Matthews_correlation_coefficient). …
del2z updated
3 years ago
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Hello,
I was going over the code and noticed something strange in train_deepscreen.py. More specifically, I believe there is a problem in line 172
 implementation of the Cohen Kappa score and the new implementation of the Matthews Correlation Coefficient (MCC) in PyTorch Lightning's metrics.
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After creating a model with lots of entry points (> 90000) and a high imbalance (ratio 0.004 pos/neg), MCC is returned as nan and thus, the GUI fails to recover the model list.
**Steps to reproduce…
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Erre kíváncsi lennék:
Exploring Weight Agnostic Neural Networks
Tuesday, August 27, 2019
Posted by Adam Gaier, Student Researcher and David Ha, Staff Research Scientist, Google Research, Tokyo
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## Problems
Hi, Everyone. I have encountered problem about classification metrics.
I want to use mcc metric to monitor. But i use `sklearn.metrics.matthews_corrcoef` to solve it.
But i not sure th…
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Disclaimer : I'm fairly new to rasa and my understanding of the framework's architecture is probably limited
**Description of Problem**:
TL;DR: Sub optimal performance due to the absence of fine-t…
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commit 1eb5c65f0c6
I'm trying to work through the [example here](https://github.com/ATOMconsortium/AMPL/tree/master/atomsci/ddm/examples/BSEP), but I'm running into errors.
```
$ ./predict_bs…
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Hello,
I'm using version 0.9.7, and I'm trying to tighten the amplitude limits for the fitting phase since I have a lot of low-amplitude non-spike snippets in my data being wrongly fitted as spikes…
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I wouldlike to my implementation of the MCC so that I can look at its convergence during training. In the generic Estimator API custom metric_fn can be added as part of the `output_spec ` in dependenc…