-
Wishing for a method `l2norm(d::Distribution)` that returns the L2 norm of the probability density function for `d`. Our use case is computing the Brier loss and integrated square loss for machine lea…
-
I'm posting this in response to the request at https://github.com/JuliaAI/MLJModels.jl/issues/571.
I can see a some work has gone into understanding MLJ's API requirements (and in understanding int…
-
The recently added cyclic boosting estimator sporadically fails tests due to failed convergence of the loss, e.g.,:
```
FAILED skpro/regression/tests/test_cyclic_boosting.py::test_cyclic_boosting_…
-
(moved this from other issue)
First of all many thanks for creating and maintaining this project.
I have the following related questions about quantifying uncertainty of predictions:
1) Is a st…
-
-
The [FunctionalChaosResult](http://openturns.github.io/openturns/latest/user_manual/response_surface/_generated/openturns.FunctionalChaosResult.html) has two attributes with wrong names:
- `residuals…
-
-
**Submitting author:** @nathanaelbosch (Nathanael Bosch)
**Repository:** https://github.com/nathanaelbosch/ProbNumDiffEq.jl
**Branch with paper.md** (empty if default branch): paper
**Version:** v0.16…
-
### Describe the workflow you want to enable
#### Why MSLL?
Traditional metrics such as [`mean_squared_error`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_error.…
-
### Ticket Contents
## Protean Overview
Protean eGov Technologies Limited provides IT services. The Company offers citizen services, e-governance solutions, system integration, business process re…