random-forest-train (gianlucaperna)
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Details for random-forest-train
Package name
- gianlucaperna
License
- unset
Last updated
- 12 April 2024 - latest/stable
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Snap for training a simple Random Forest model
The random-forest-train app is a toy case implementation of a random forest classifier. It uses a 20% train-test split to evaluate the performance of the model. The script requires three arguments: a CSV file containing features (without header), another CSV file containing the corresponding classes (single column without header), and the output path where to save the trained model.
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The build and commit information is derived from build infrastructure records.
Install random-forest-train on your Linux distribution
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