-
The commit 01f15d8ce26ff6d8a472858e32959a71edc222ec adds a Random Forest classifier to predict the missing values (NaNs) in the categorical columns.
We should look into the classifier hyperparamete…
-
when I train the ICAR-ENSO dataset,I found the hyperparameter settings of AdamW in the paper are different from the parameter settings in the earthformer_enso_v1.yaml file, so which one should be used…
-
### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
-
I have read your answers "Thank you for your reminder. In this version of the code in this repository, we have simplified some of the hyperparameters to uniform hyperparameters, so the results for som…
-
I read the technical report and observed the impressive performance of the t2i generation using the provided demo code.
There is an issue with the image editing process using demo_image2image.py. I t…
-
## Problem Description
The current way of adding hyperparameters is to do it via markdown text:
```python
writer = SummaryWriter(f"runs/{run_name}")
writer.add_text(
"hyperparameters",
…
-
Right now, only hyperparmeters that are searched by default can have their params dict be copied and reused due to naming issues. This should be extended to hyperparameters that are not searched by de…
-
The response keep varying for the fixed hyperpaprameters if asked at different time. When a query is asked for a given hyperparameters, it doesn't reproduce the same response if asked again after some…
-
We currently do not have a good approach to adding experiment runs to the MTEB leaderboard e.g. experiment with the influence of hyperparameters. Such as using no-prompt for prompt-based models or cha…
-
It would be great if gpytorch.Module had methods for getting different specific kinds of parameters. For example, `model.named_kernel_parameters()` might only get parameters registered to `Kernel` mod…