Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Parametric Loss Objects #3

Open
aytekinar opened this issue Oct 16, 2018 · 0 comments
Open

Parametric Loss Objects #3

aytekinar opened this issue Oct 16, 2018 · 0 comments
Assignees
Labels
enhancement New feature or request help wanted Extra attention is needed

Comments

@aytekinar
Copy link
Member

I am not sure if we will get rid of all the Loss representations to favor packages like LossFunctions.jl, but we can consider rewriting some common loss objects as parametric types. Check below:

struct LogLoss{Index<:Integer, Value<:AbstractFloat} <: AbstractLoss
  # ...
end

I will make a stab now on a different branch for my experiments. We can discuss later.

@aytekinar aytekinar added enhancement New feature or request help wanted Extra attention is needed labels Oct 16, 2018
aytekinar pushed a commit that referenced this issue Oct 16, 2018
Removed `rcvread` in favour of the generic `svmread`.

Related to #3.
aytekinar pushed a commit that referenced this issue Oct 16, 2018
aytekinar pushed a commit that referenced this issue Oct 16, 2018
aytekinar pushed a commit that referenced this issue Oct 17, 2018
martinbiel pushed a commit that referenced this issue Oct 18, 2018
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request help wanted Extra attention is needed
Projects
None yet
Development

No branches or pull requests

2 participants