-
### Reason/inspiration (optional)
We would like a new entry on the `Kernel Ridge Regression` concept under Sklearn. The entry should go in a new file under `docs/content/sklearn/concepts/kernel-ridge…
-
When calling ri with gamlssCV, [`get("gamlsscall", envir = gamlss.env)$data`](https://github.com/gamlss-dev/gamlss/blob/3ceea910acf6b682cc94ee9b185c35d11b0cc62c/R/ri.R#L55) returns the data function f…
-
I saw the docstring about numerical instability of the linear squares models, it should be pretty simple to add a l2 regularization parameter to the closed form solution (even simpler via SVD where fo…
-
> Hi Ted and Max,
Yeah. I have codes and manual for ridge regression: https://github.com/ZaixuCui/Pattern_Regression_Clean/tree/master/Ridge; https://github.com/ZaixuCui/Pattern_Regression_Clean/wiki…
-
### Describe the workflow you want to enable
Currently, Kernel Ridge Regression as implemented in `sklearn.kernel_ridge.KernelRidge` does not support an intercept like e.g. `sklearn.svm.SVR` does. Th…
-
### Describe the bug
Using the Bayesian Ridge Regression with MultiOutputRegression(n_jobs=-1) consumes all the memory on the computer and the process dies. (Tested with 128G Ram + 128G Swap)
### St…
-
-
-
В финальной формуле весов не хватает домножения на $X^T$. Должно быть:
$$\widehat{w}=(X^T X - \lambda I)^{-1} X^Ty$$
-
Currently, it only has "mae" for regression, "mse" and "ridge" are needed at least.
``` Python
def to_bigdl_metric(metric):
metric = metric.lower()
if metric == "accuracy" or metric == "ac…