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Suggestion: Adding Loss functions of Machine Learning in maths folder #559
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Hi @GreatRSingh , |
@Navaneeth-Sharma Can you put up a list of loss functions that you are going to implement and which you have already implemented? |
Sorry @GreatRSingh , |
@Navaneeth-Sharma ok I will do that. |
Hi, Just an info so that we dont implement the same losses, I will try to take up these loss functions
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@Navaneeth-Sharma No none of them are already taken. I will take up MSE, NLL, MAE, MarginRanking, KLDivergence. |
@Navaneeth-Sharma @siriak I have added a list of Loss Functions in the description. |
This issue has been automatically marked as abandoned because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions. |
Working on adding Hinge Loss |
This issue has been automatically marked as abandoned because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions. |
Are all these functions taken ? |
No, you can start working on them.
…On Fri, Jan 5, 2024, 12:21 AM Eddy Oyieko ***@***.***> wrote:
Are all these functions taken ?
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Opened a PR to add KL divergence loss as a sub task of this issue. #656 |
I have opened a PR that implements Huber loss function, which is mentioned is this issue #697 🚀. |
Are there any function that can still be worked on? |
I think NLL and Marginal Ranking from the list are still not implemented |
Finished implementing both, but have a question regarding the PR. Should I open 2 separate PR's or 1 PR containing both algorithms? |
2 separate PRs please |
When opening a PR, please make sure that your PR is on a separate branch like |
I would like to suggest adding Loss functions in this repo.
The loss function estimates how well a particular algorithm models the provided data.
Add Loss Functions to:
machine_learning/loss_functions
Task List:
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