Use for any question or task about checking ML data before or after training, including train-test leakage, data integrity problems, and models far better offline than in production. Runs Deepchecks data integrity, train-test validation and model evaluation suites on tabular, NLP or vision data, reruns them on production samples for drift and gates CI on passed conditions.
85%
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Adds up to 20 points to the overall score
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{
"name": "testland/deepchecks-tests",
"description": "Use for any question or task about checking ML data before or after training, including train-test leakage, data integrity problems, and models far better offline than in production. Runs Deepchecks data integrity, train-test validation and model evaluation suites on tabular, NLP or vision data, reruns them on production samples for drift and gates CI on passed conditions.",
"private": false,
"skills": [
"."
],
"version": "1.3.7"
}