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Saving the model will eliminate the heavy computation requirement and free the methodology from computational constraint to a certain extent.
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I am still exploring the possibilities of GuildAI. How well does it integrate with other libraries to perform hyperparameter optimization beyond grid search and random search? For example can it int…
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Is there any way of detecting the type of scorer model used? Instead of having to tell the script which type of model it is, we could test for the presence or absence of some properties maybe. This wo…
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### Subject of the issue
The TabularCPD class is baked into the BayesianEstimator class. For our research, we are looking to use Noisy-Or models as the conditional probability distributions for each…
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Safe and Efficient Model-free Adaptive Control via Bayesian Optimization. (arXiv:2101.07825v1 [eess.SY])
https://ift.tt/2LItvZi
Adaptive control approaches yield high-performance controllers when a pr…
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Steps to final first draft
- replicate fig1 in diclimente2018sequences
- If we use tag_spend as main var, use PCA as category controls
- Understand entropy differences
- Typical behaviou…
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I am getting the Error message on win10 bash, when i am trying:
python3.6 japonicus.py -b --repeat 7 --strat RSI_BULL_BEAR
```
The profits reported here depends on backtest interpreter function;…
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Reviewer's comments:
> R2.3.2: Based on the simulated example shown in the appendix, the authors may find high reliability in recovering individual model parameters with the Bayesian approach. This…
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Is there any inference method associated with Noisy-Or Models? I have a Bayesian network model, but each child generally has lots of parents, but I have few data to train that many parameters, so I'd …
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Consider adding Approximate Bayes Factor. See example script.
[abf.R.txt](https://github.com/variani/finemapr/files/2040788/abf.R.txt)