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Is this an issue with class inheritance?
```
boosting random grid: {'num_leaves': [4, 8, 16, 31], 'max_depth': [2, 3, 4], 'n_estimators': [10, 20, 50], 'min_data_leaf': [20]}
starting training for:…
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Currently, GMMClassifier always uses the same number of components to fit a model on each class.
The number of components providing the best "fit" for the data is rarely the same across different c…
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I run GridSearch on Surface Pro, and get a Userwarning: A worker stopped while some jobs were given to the executor. This can be caused by a too short worker timeout or by a memory leak. ". I tried re…
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### Aim
To predict ratings of "Popular Video Games 1980-2023" using reviews for the dataset:
https://www.kaggle.com/datasets/arnabchaki/popular-video-games-1980-2023
### Details
To predict ratings…
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This example shows how to use the dask gridsearch:
http://dask-ml.readthedocs.io/en/latest/examples/hyperparameter-search.html
but it only provides very modest speedups. Do you know why that is? I…
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Right now, parameters validation is done in the constructor as follows
https://github.com/dynamicslab/pysindy/blob/3e8a4455fd4de046225344dda9b516d0d013ee36/pysindy/optimizers/sr3.py#L138-L163
Acco…
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I dumped the quantised llama-3-8B model from LMQuant, using QoQ, the command as follows written in
[lmquant](https://github.com/mit-han-lab/lmquant/tree/main)/[projects](https://github.com/mit-han-l…
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@drob-xx I checked your code, very impressive work, here I got a question. I think you used grid search to do different setting of min_cluster_size and min-samples and did some experiments, I also che…
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Hi,
I am using **MondrianForestClassifier** but for me to use incremental learning i have to use **partial_fit** method but that method is not supported by **GridSearch** and Pipeline. if i use Mondr…