Is your feature request related to a problem? Please describe.
It is not actually a problem but just a suggestion. Currently, we use the common functions from the sklearn library.
Describe the solution you'd like
What if we create a utils directory and store all the common loss functions, metrics, etc so that by calling the desired function we can use them?
Additional context
For example in the utils directory, it can have a file named loss functions and it can have functions such as cross-entropy loss, etc. And in future examples, instead of using the loss function from another library, we can directly use it which has already been implemented by the community.
Is your feature request related to a problem? Please describe.
It is not actually a problem but just a suggestion. Currently, we use the common functions from the sklearn library.
Describe the solution you'd like
What if we create a utils directory and store all the common loss functions, metrics, etc so that by calling the desired function we can use them?
Additional context
For example in the utils directory, it can have a file named loss functions and it can have functions such as cross-entropy loss, etc. And in future examples, instead of using the loss function from another library, we can directly use it which has already been implemented by the community.