-
Before filing an issue, please make sure to tick the following boxes.
- [x] Make sure your issue hasn't been filed already. Use GitHub search or manually check the [existing issues](https://github.…
-
There are many cases where an estimated covariance does not have good small sample properties.
We need some regularization methods (beyond what scikit-learn has)
One of the main tasks will be to prov…
-
In `EaSearchCV` (PR #192), cross validation fails when given a MLDataset / Dataset in a Pipeline or estimator, as the cross validation logic in `dask-searchcv` and/or scikit-learn subsets rows of a da…
-
Hello Laurae, thanks for your response earlier about my question about emulating daForest.
This time I have a question sort of related to validation_data=NULL #6, in that I want to make sure I unde…
-
I get this asked about once a day, so I think we should just add it.
Many people work with time series, and adding cross-validation for them would be really easy.
The standard strategy is described fo…
-
Hi,
Is there an easy way to do KFold or RepeatedKFold over an Incremental estimator (e.g. SGDRegressor)?
As I understand, IncrementalSearchCV will yield a set of hyperparameters optimized on a s…
ghost updated
5 years ago
-
### Describe the bug
The goal of the `multioutput="raw_values"` parameter in the regression metrics is to be able to inspect the individual scores of a multioutput metaestimator, but the `_score` f…
-
Hi,
I am testing your model, but i am not getting the desired output. I think i am not distributing the data properly in train and valid folders.
Please let me know how you are creating the fol…
-
At the stage of Gmrq.ipynb of your tutorial I have gotten the following errors:
Input In [1], in ()
84 no_clusters=[700,800,900]
85 tica_lagtime=[2,4,6]
---> 87 GMRQ(no_of_features,no…
-
Hi
Thanks for your very interesting program
when I try assign.MC( myGenepopRd, train.inds=c(0.5, 0.7), train.loci=c(0.1, 0.25, 0.5, 1),
loci.sample="fst", iterations=30, model="LDA", di…