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LOO is a common method for evaluating both model fit (LOO-IC analogous to AIC or WAIC) and influential points (pointwise LOO-IC and pareto k LOO-IC evaluation). Methods for both are provided by the *l…
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Right now we only have the linear regression model integrated. We would like to have an architecture that facilitate us to changing between this method to other implementations made by the future cont…
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Hi,
I have a question related to the input of DynamicDML estimation. The comment suggests the input outcome is one-dimensional array with its length = **n_groups * n_periods**. **n_periods** means …
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In the final month and for the final feature (VHI) the values are ALL `nan` (in the `DataLoader` these are coded up as `-inf`). This is because the feature (VHI) is hidden from the model and so we wil…
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One of the nice features of the Stata documentation is the section on post-estimation results. We don't have currently a good overview what's available after the different models. Much of the usage is…
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**已认领：**
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**已完成：**
* [performance/_toc.yaml](https://github.com/xitu/tensorflow-docs/blob/zh-hans/performance/_toc.yaml) @slyrx
* [performance/index.md](https://github.com/xitu/tensorf…
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0. Related work search on the supervised prediction: Look at all papers that cite Reddy/Redyy++/Fahramand. http://www.aclweb.org/anthology/I11-1024 http://www.aclweb.org/anthology/P16-2026 http://www.…
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This model is used to predict earthquakes. Predicting earthquakes is one of the great unsolved problems in the earth sciences.
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I don't have an issue for it yet so this is just to collect some links without having to edit the readme:
- [How (not) to use Machine Learning for time series forecasting: Avoiding the pitfalls](ht…
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Some ideas for figures to add to the PPT
- [ ] Linear regression, single-layer neural network
- [ ] Multilayer Perceptron with hidden layer
- [ ] Backpropagation
- [ ] Batch Normalization and al…