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copick / split-dataset / 0.0.9

Split Dataset for Training and Testing

A solution that splits datasets into training and test sets, ensuring distributions are preserved.
Tags
imagingcryoet
Solution written by
Kevin Zhao and Kyle Harrington
License of solution
MIT
Source Code
View on GitHub

Arguments

--copick_config_path
Path to the Copick configuration JSON file. (default value: PARAMETER_VALUE)
--ks_values
Comma-separated list of split ratios for train, test1, test2, and test3. (default value: PARAMETER_VALUE)
--output_json_path
Path to the output JSON file. (default value: PARAMETER_VALUE)
--user_id
User ID to filter picks. (default value: PARAMETER_VALUE)
--session_id
Session ID to filter picks. (default value: PARAMETER_VALUE)
--random_seed
Random seed for reproducibility. (default value: PARAMETER_VALUE)

Usage instructions

Please follow this link for details on how to install and run this solution.