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multistart_gridssearchToSamples should be renamed.
It should be multistart_searchToSamples
parameter_estimation_settings['multistart_gridsearch_threshold_filter_samples']
parameter_estimatio…
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Grid searches with multiple hyperparameters gets computationally expensive very quickly as you expand the range of possible hyperparameters. My current data set takes approx 7.5 hrs for each iteration…
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#### Describe the workflow you want to enable
Hi everyone,
I am manipulating `SVR` objects in `GridSearcheCV`. I am able to access the `mean_fit_time` in the `cv_results_`, but I can't access the …
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I use gridsearch and optuna to search the best hyper parameters of xgboost.
but I found when the tree is deep and big,
then the boost round will very slow, and cost too much time
and the big…
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I am trying to integrate deep-speed into this [script](https://github.com/opentensor/clm_model_tuning.git) and have successfully run it for zero stage 2, but when I tried it for zero stage 3 this er…
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I have noticed that in the project's source code and documentation methods that are present in similar sklearn classes such as [GraphicalLasso](https://scikit-learn.org/stable/modules/generated/sklear…
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Hi there,
I'm trying to use DeepOBS with GridSearch. I want to do a grid search averaged over a number of seeds. As far as I know, the grid search just uses a single seed for comparison which might…
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When running the current test suite on azure, pytest reports the following 20 slowest tests:
- [x] 15.40s call `ensemble/tests/test_voting.py::test_gridsearch` #21422
- [x] 11.31s call `tests/te…
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In the CH2 ipynb, after cell 125, the following has been said:
**"Note: this feature selector assumes that you have already computed the feature importances somehow (for example using a RandomFore…
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At the moment, it's possible to use a pandas dataframe as an input for most sklearn fit/predict/transform methods, but you get a numpy array out. It would be really nice to be able to get data out in …