Dataset Splitter

Name: Dataset Splitter
Author: jeremylongshore

byjeremylongshore

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706

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データサイエンスとML

Automates the partitioning of data into training, validation, and testing sets for machine learning model development.

Streamline machine learning workflows by automating the essential step of dividing raw datasets into functional subsets. This skill analyzes user-specified ratios and file locations to generate and execute Python code that creates robust training, validation, and testing partitions. By incorporating best practices such as randomization and data integrity verification, it ensures that your data is properly prepared for unbiased model evaluation and training, allowing developers to move from raw data to model training faster.

主な機能

01Automated generation of Python scripts for data partitioning

02Configurable ratios for training, validation, and testing sets

03Implementation of randomization to ensure unbiased subsets

04Data integrity verification to prevent loss or corruption during splitting

05Support for stratification to maintain class distributions in imbalanced data

06706 GitHub stars

ユースケース

01Preparing raw CSV datasets for supervised machine learning model training

02Creating validation sets to tune model hyperparameters and prevent overfitting

03Partitioning large datasets into train-test splits for model performance evaluation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus dataset-splitter

For use in Claude.ai and ChatGPT

Download Skill