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discussion board ab it here
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Parsing a binary RF classifier trained via `mlr::train()`.
Command:
```
model2DE(getLearnerModel(model),
model_type = 'random forest',
target = feats_f[,target],
…
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@yafimvo is working on a new feature to help users optimize model hyperparameters(https://github.com/ploomber/sklearn-evaluation/pull/215); we defined some [defaults](https://github.com/ploomber/sklea…
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Add diverse handful of XGBoost models (some shallow, some deeper, and different row/col sample rates, etc) to the top of the AutoML queue using parameters chosen by [~accountid:557058:8dd31304-4ae2-4b…
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Here is the markdown:
* **alerce\_lc**
The [ALeRCE light curve classifier](https://arxiv.org/abs/2008.03311) uses variability features computed from the ZTF alert stream, and colors obtained …
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Hi @imoscovitz ,
Suppose you trained several classifiers with different algorithms (IREP and RIPPER) with different feature sets and try to guess the best combination by stacking them with differen…
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I wanted to use your TreeSHAP computation, because some variable in my dataset should be linked.
I selected a small model (one tree... with a thousand leaves), used on a dataset with 23 features.
I …
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I am trying to wrap an mlr3-learner with the `predict_type = 'response'` with the DALEXtra
function `explain_mlr3()`. Due to mlr3pipelines syntax restrictions, I am unable to change the predict_type…
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I estimated the accuracy of the Random Forest classifier without the feature engineering, only with the original dataset, and the accuracy is 98% .O.
There is clearly something wrong with my code but…
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I am using minted to display python code and I need to use `finalizecache` and `cachedir` to be able to submit my code somewhere else and compile without using `--shell-escape`, which is disabled for …