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Right around the time that I stumbled upon dask-searchcv, scikit-learn 0.19 was released where pipelines now support the memory parameter:
http://scikit-learn.org/stable/whats_new.html#version-0-19
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and fou…
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Would it be possible to run the grid search in parallel (i.e. spawning a separate process for each set of hyperparams)? Thanks.
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**Bug Report Checklist**
- [x] I provided code that demonstrates a minimal reproducible example.
- [x] I confirmed bug exists on the latest mainline of AutoGluon via source install.
- [ ] I c…
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Hyperparameter search by line/grid search and Nelder-Mead should be supported for all recommenders;
For recommenders that use a learn rate (=step size), there should also be routines for learning good…
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Goal: Compare random forests with a simple multi layer perceptron in a simple benchmark experiment.
1. We need to define the tasks:
Use three simple small tasks from OpenML: https://mlr3book.ml…
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Hi! I am trying to fit a glm to some spiking data from a bunch of neurons. My design matrix is the binned spike counts of all neurons, and my 'y' is the spike counts of the neuron I am interested in. …
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar bug report.
### YOLOv8 Component
Hyperparameter Tuning
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Some of the model configurations could be formed as hyperparameters, then grid-search could be used to find the best combination.
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# DATAIDEA - GridSearchCV
GridSearchCV is a method in the scikit-learn library, which is a popular machine learning library in Python. It’s used for hyperparameter optimization.
[http://localhost:63…