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Hello,
Although it is true that in most cases the 5/25 models generated by AF2 monomer/multimer are very similar to each other, we consistently find that - when using these models (or pieces thereo…
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During the development of the stacked ensembler component #1930, we realized that during the ensembling of pipelines there was the potential for the final ensembler to have multiple input components w…
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# 7 Lessons From Machine Learning Lessons Applied to Life
Data cleaning, transfer learning, overfitting, ensembling, and more.
[https://eugeneyan.com/writing/life-lessons-from-machine-learning/](htt…
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To include data from new projects, some ways of doing this:
- transfer learning, retraining last couple of layers with new data
- retraining the complete model with old + new data (inefficient and c…
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The Python exception (+ message) is missing in the traceback.
```python-traceback
2018-08-23 11:01:41,187 - root - DEBUG - AMPLE EXITING AT2...
File "/home/felix/develop/ccp4-7.0/lib/python2.7/…
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Hi,
I stumbled across this repo, since I needed a way to compute confidence intervals on F1-score for an NLP ensembling problem.
An initial glance at your derivation looks right. I'll let you kno…
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Ben's slides:
http://www.slideshare.net/BenjaminBengfort/non-negative-matrix-factorization
Ben recommends:
co-occurrence linear log likelihood ratio
(in tase for mahout?)
combining item stuff and u…
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I have trained multiple models using exactly the same YOLO framework and parameters. I have then created an ensemble using each of the methods - affirmative, consensus and unanimous. I've done this …
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Our implementation supports ensembling of multiple models trained on the same graph. However, in general, ensembling can be done in the same way on different architectures.
The input to the ensembl…