Sample percentage #674
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Sample percentage #674
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Sorry, I have to fix my branch and it delete my older pull request.
This pull request introduces a new feature that allows users to evaluate a random subset of the dataset during the testing phase. This is particularly useful for scenarios where testing the entire dataset is not necessary or feasible. Key details of the implementation include:
New Option: A --test-sample-percentage parameter was added to the test command, allowing users to specify the percentage (1-100) of the dataset to use for evaluation. The default is 100%.
Random Sampling: When a percentage lower than 100 is specified, a random subset of lines from the dataset is selected for testing.
Flexible Testing: Enables testing on the same dataset used for training while avoiding over-testing the entire dataset.
How to use:
ketos test (parameters) --sample-percentage 10