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from Tao:
I think it would be very interesting to quantify the inter-annual climate changes on perennial crop production and bioenergy supply chain development.
The key issues we need to work on fur…
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Brief description of the problem:
I try to run the following code and receive the following error message:
```
cannot coerce class ‘"function"’ to a data.frame
```
```r
#!/usr/bin/env Rscri…
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ref https://github.com/dmlc/xgboost/issues/9475
I'm opening this issue in order to propose a high-level overview of how an idiomatic R interface for `xgboost` should ideally look like and some thou…
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I've been reading through the adespatial docs and the cited literature (Dray 2006, and the 3 Bauman 2018 papers) and I continue to struggle identifying what the "global" MEM selection method is doing.…
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Predictor Variables:
1. Mean, max, Min Temperature
2. Extreme temp days (Above 30 degrees C)
3. PPT
4. Number of dry days
5. Gini Coeff
6. Shannon Diversity Index
Response Variable:
…
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So the dataset I use gets updated daily to contain new data. I then run MARS on the resulting data. Obviously with only one extra data point the chances of the model being very different day on day ar…
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Create our stepwise progression for the rating change models and implement SMOTE to try to get some predictions that aren't just the majority class all the time.
We are trying to predict: "Upgrade"…
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Including previous rating is making the prediction problem (even for actual rating) very boring. It's hard for our NLP features to add anything on top of it.
Permutation Test - it's clearly dominat…
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There's a nice new paper on disaggregating predictors in cross-classified multilevel models (see below). Below, I show the way this could be done manually using datawizard functions. Would be great to…
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Let's use this issue to discuss and track this. We'll need to create a migration guide and make info accessible. Here's a small task list I think we can start with:
- [ ] Modal to indicate upcoming…