-
-
- Feature Engineering (@AdamAker BARs stuff)
- Feature Selection (via ranked feature importances and Shapely values)
- Intrinsic dimension estimation
- Explore SINDy (time series) style approache…
-
Please read the key below to understand _how_ to respond to the feedback provided. Some items will require you to take action while others only need some thought. **During this round of feedba…
-
Please find a few comments below for improving this [notebook](https://github.com/microsoft/ComputerVision/blob/master/classification/notebooks/11_exploring_hyperparameters.ipynb):
* Change "Testing …
-
Hey Joshua,
thanks for your work on Cave!
While using it, I have stumbled upon some errors related to BOHB and Categorical HP. I am pretty sure they are not super relevant and I was able to fi…
-
In this section, different functions, either matplotlib functions or functions of the [styled plot module](https://github.com/automl/DeepCAVE/blob/1851126c064a3120299250fb39b2c00d00abbc2e/deepcave/uti…
-
## Motivation
The rapid advancements and growing popularity of Large Language Models (LLMs) have driven an increased need for effective LLMOps in Kubernetes environments. To address this, we develope…
-
There is a recent paper entitled "Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection" (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140774/) that attempt to address…
-
Tasks/Comments below match the order of the R2R comments, not the manuscript order.
- [x] **(R1)** External Validation of Model
- [x] Adapt _Results_ to clarify LOCOCV
- [x] Add Moran's data …
-
In the original paper, the author proposed three soft constraints and added a hyperparameter `C` to weight the importance of these constraints. While referring to the https://github.com/torchkge-team/…