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neurodata / scikit-learn

scikit-learn-tree fork: A fork that enables extensions of Python and Cython API for decision trees
https://scikit-learn.org
BSD 3-Clause "New" or "Revised" License
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Hyperparameter Tuning for Random Forest Using GridSearchCV #2

Open jtrieu2 opened 4 years ago

jtrieu2 commented 4 years ago

Description

This demo provides an example of how to tune a Random Forest classifier using GridSearchCV on the MNIST dataset.

Steps/Code to Reproduce

link to code: https://github.com/NeuroDataDesign/team-forbidden-forest

bdpedigo commented 4 years ago

Specify that you want to add a new thing to (where in the sklearn docs)

jtrieu2 commented 4 years ago

Description

This tutorial provides an example of how to tune a Random Forest classifier using GridSearchCV on the MNIST dataset. This tutorial will be added to Sklearn's documentation on hyperparameter tuning.

Steps/Code to Reproduce

link to code: https://github.com/NeuroDataDesign/team-forbidden-forest/blob/master/JennyTrieu/Tuning_Tutorial.ipynb