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Currently, the h2o.stackedensemble() function uses the predicted probabilities returned by base models as inputs to build the meta learner; however, when both the base models and meta learner are logi…
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### Describe the workflow you want to enable
I'd like to have a feature importance method native to linear models (without L1 penalty) that is calculated on the training set:
```python
clf = Logi…
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From VSCode using SQLite3 Editor, show your unique collection/table in database, display rows and columns in the table of the SQLite database.:
![SQL](https://github.com/LincolnC2008/student3/asset…
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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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Below are some places to look at to see what kinds of topics should be covered. Comment below for what you think should be covered in the series of videos. Topics can range from simple to complex.
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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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The `ResultMixin` for GenericLikelihoodModelResults has still `covjac` for the OPG cov_params.
OPG is available in statespace models, but not for all MLE that define score_obs.
In linear regressio…
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From my review it seems everyone does cross-validation with ridge regression. But no one ever seems to do cross-validation with a simple linear regression, and I understand ridge regression is just li…
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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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(this is another topic that is missing consistent implementation across models.)
(I might add a `topic_diagnostic` label, but don't want to go through issues right now. Search shows many open isssues.…