Deepchecks Demo Dashboard - Try It Out Yourself !
Did you know - “a dataset without outliers is an outlier”. Over the years I’ve learned that in many real life settings, dirty data is more common than clean data. Should this affect you while you’re building an ML model or system? For sure. That’s part of the reason I think it’s so important to use an ML Validation tool like Deepchecks.
What is the best way to learn something? Of course to try it yourself!
Deepchecks is in fact an open-source package, but our R&D team just created a really cool tool that can help you evaluate how deepchecks can help you, even before you find the time to install the package and run it.
This tool is basically a demo dashboard which lets you choose a dataset, introduce corruptions to the dataset and then you can see Deepchecks' validation checks in action.
To check out the tool, start here: https://checks-demo.deepchecks.com
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Try out the following:
Isn’t it super cool?!
Once you are done playing around on the dashboard, check out the complete set of checks and suites on Deepchecks page: https://docs.deepchecks.com/en/stable/?utm_campaign=/&utm_medium=referral&utm_source=deepchecks.com
To explore all the checks and validation in Deepchecks, go try it out yourself ! Don’t forget to ? their Github repo, it’s really a big deal for open-source-led companies like Deepchecks.
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To explore all the checks and validation in Deepchecks, go try it out yourself ! Don’t forget to ? their?Github repo, it’s really a big deal for open-source-led companies like Deepchecks. Github: https://github.com/deepchecks/deepchecks
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2 年Thanks for the tip! Are tools like this common, which assess the quality of a dataset? Is that reasonably easy to do?