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Hello,
I hope you're doing well.
I'm here because I have an issue with the ``BIOMOD_EnsembleModeling`` function. I've built simple models using a restricted number of descriptors for 28 species …
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# Motivating Example 1
## Motivation: Why do you think this is important?
It is possible that users may define their tasks as async
```python
@task
async def foo():
pass
```
Since the in…
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Hi excellent contribution. I am trying to understand how your model ensembling is implemented but I can not find the definitions of the hook methods in evaluate.py .
outputs = hooks.post_forward_fn…
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> [!NOTE]
> If you have a request to support a specific method, or would like to see priority of one of the listed methods, please open a separate issue, so it won't get buried in this thread. Base…
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Ensembling/stacking of classifiers seems to be the winning strategy for most kaggle competitions.
It would be interesting to investigate how to construct an "ensemble" of minimizers and then evaluate…
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The ensemble Kalman filter was introduced in Evans (1994) and has become an important technique in high dimensional forecasting. The method has connections to approximate Bayesian computation (Nott et…
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The `fpga_pes_ensemble_network` code and the `DNA_extractor` code contain a lot of duplicate code. They should be refactored (make an `SSH` class or something) to reduce code copy/pasting. Refactoring…
xchoo updated
5 years ago
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I wonder if this is allowed. We would still specify the algorithms and features allowed, obviously, but might use AutoML to automatically pick hyperparameters and ensemble methods together.
It seem…
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We can make use of the best several models in search results instead of just the best one. In general, the models obtained from grid or random search are less correlated than those searched using baye…
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Currently `classify_cells` only works for a binary classification problem. It would be useful to make this more generic to handle an arbitrary multi-class problem. Following the discussion in #90 , th…