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One protein (230 aa) plus ligand (phospholipid, ccdCodes = ["PCW"])
With one phospholipid, ligand structure is good and phospholipid (C18) found its way in the binding site with a reasonable orient…
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# Expected Updates:
- [ ] Implement a basic ML model (e.g., Linear Regression, LSTM) for price prediction.
- [ ] Train the model on historical price data.
- [ ] Display predictions on the price c…
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### Describe the workflow you want to enable
I want to be able to use multiple estimators in one pipeline. E.g.
```python
from sklearn.pipeline import Pipeline
from sklearn.linear_model impor…
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We know that at high zeniths (say, above ~50 deg) the output of the random forests depends strongly on zenith (because image parameters change quickly with zenith).
Since the RFs are trained on MC …
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### Feature Summary
Predictive Analytics for Investment Strategies: Create a predictive analytics tool that helps users make better investment decisions based on historical data and trends.
### Desc…
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We do linear interpolation on known COB values, which might not represent the reality. If tick is too long (data is sparse) we should add sub tick predictions in the following matter.
Essential…
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Thanks for your work.
I want to know if the zero-shot results on ETH/UCY are all calculated by multimodal predictions? If predictions are all multimodal, is the K equal to 20? And how to produce mult…
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With questions like #29163 and with the private loss functions #15123 (almost everywhere) in place, I would like to discuss to make the inverse link function public.
Models like LogisticRegression …
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### Checklist
- [X] I've read the [contribution guidelines](https://github.com/autowarefoundation/autoware/blob/main/CONTRIBUTING.md).
- [X] I've searched other issues and no duplicate issues were fo…
xmfcx updated
1 month ago
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I propose adding an e-commerce sales prediction model to ML Nexus. This model will utilize historical sales data, marketing spend, customer behavior, and seasonal trends to forecast future sales. It w…