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machine-learningdata-ai

plot-catboost-feature-importance-with-custom-styling

Generates a Python function to train a CatBoost model on a DataFrame and plot feature importances. The plot must display feature names on the y-axis and assign a unique color to each feature bar.

Посмотреть исходный кодmachine-learning
ECNU-ICALK
maintainer
ECNU-ICALK
Обновлено 3/13/2026
Звёзды
304
Форки
34
quick start

Installation and usage

Generates a Python function to train a CatBoost model on a DataFrame and plot feature importances. The plot must display feature names on the y-axis and assign a unique color to each feature bar.

Установка
$ install --globalskills.sh
Использование

После установки вы можете использовать этот skill, выполнив следующую команду в терминале:

skills use plot-catboost-feature-importance-with-custom-styling