Open pahalsrivastava opened 2 months ago
The linear regression algorithm in this repo should be reimplemented anyway (see #8847). As such, this additional handling should be either incorporated into the reimplementation PR or saved for a later PR.
In any case, what sort of error handling are you suggesting? Input validation, floating-point errors, etc?
i can work on this pease assign me this
What would you like to share?
We can add error handling function to the linear regressio algorithm in the ML folder; so that it can handle errors and still run the linear regression algorithm
Additional information
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