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The [gpboost](https://cran.r-project.org/web/packages/gpboost/) package on CRAN by @fabsig explains itself as such:
> **Combining Tree-Boosting with Gaussian Process and Mixed Effects Models**
> A…
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Hi,
after trying to convert an own pretrained model checkpoint into Transformers library with the following code snippet:
```
# LM Head
model.lm_head.dense.weight = data2vec_model.encoder.lm_h…
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### ML-Crate Repository (Proposing new issue)
:red_circle: **Project Title** : Telecom Dataset Analysis
:red_circle: **Aim** : Create a bunch of ML models to analyze the telecom dataset.
:red_circl…
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I've seen now several articles that recommend coordinate descend as the best algorithm for L1 (or jointly L1-L2) regularized linear or generalized linear models.
Here is an application to 2SLS for I…
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Hello, thank you for developing TIGRESS, that is such an interesting framework.
As linear regression makes assumptions about data normality, do you know if it can be safely used on RNA-Seq counts th…
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# Clearer documentation about how to industrialize Cobra models
We've received a couple of questions in the past months about how Cobra models can be industrialized.
Let's interpret that as a …
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I've been working on fitting a spatial autoregressive model (sacsarlm) to property price data in Córdoba, Argentina. While the model runs smoothly on smaller datasets, I've encountered an error when u…
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In https://github.com/GeostatsGuy/DataScience_Interactive_Python/blob/main/Interactive_Model_Fitting.ipynb
the bullets (near the top) for "Ordinary Least Squares Fitting" and "Maximum Likelihood Fitt…
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### Idea Title
Lasso Regression
### Idea Description
Lasso regression, or Least Absolute Shrinkage and Selection Operator, is a type of linear regression that includes a regularization term. This m…
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An initial effort has been done to include many models for the modelling and classification task. However, there are several small improvements that could greatly benefit the package.
Hyperparamete…