-
Dear Wu Jie:
It's a great projects!
I have a question about k_fold_number.
In the code"parser.add_argument('--fold', default=1, type=int, help='k fold number')", if default=5, …
-
The distributed version of the algorithm receives results from the workers without validating their work. This is safe when one has control of all the instances running the worker nodes but it is dang…
-
In [section 3.7](https://github.com/fchollet/deep-learning-with-python-notebooks/blob/master/3.7-predicting-house-prices.ipynb), the numerical predictors are centered and scaled (separately for the tr…
-
Goal: Compare XGBoost with a simple multi layer perceptron in a simple benchmark experiment.
1. We need to define the tasks:
Use three simple small tasks from OpenML: https://mlr3book.mlr-org.c…
-
-
## 🚀 Feature
It would be useful to adapt the existing `Engine` class (with its use of decorators/callbacks) to provide for an extensible framework for k-fold/stratified etc. cross validation. The p…
-
Allow to run a single fold instead of the standard k fold cross validation.
Also maybe return the trained model
see #59
-
https://stats.stackexchange.com/questions/27730/choice-of-k-in-k-fold-cross-validation
-
**This is a(n):**
- [X] New algorithm
- [ ] Update to an existing algorithm
- [ ] Error
- [ ] Proposal to the Repository
**Details:**
Cross-validation is a statistical method used …
-
Thanks for creating this excellent package. I created a [similar fork of treesnip](https://gitlab.com/ccao-data-science---modeling/packages/lightsnip) but am planning to replace it with `{bonsai}` in …