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Hi everyone,
I´m running the Feed-Forward Neural Network (FNN) with R (4.1.2) and tensorflow (2.7.0) that is available from: https://github.com/MoritzFeigl/wateRtemp.
I´m running the test datas…
mcvta updated
2 years ago
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I've run into a somewhat weird case where optimizing the kernel parameters leads to very high values of variance with both RBF and Matern52 kernel. Regardless if I normalize the inputs, I get about th…
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# Short Question Description
Is auto-sklearn ensemble for classification using predict_proba + threshold adaptions?
I read the original paper and read about the unique way auto-sklearn makes use o…
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/kind feature
**Describe the solution you'd like**
- katib currently use only single-objective optimization, (even though katib could display additional metrics, the optimizing process focused on …
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Approved by @SalmanMohammadi. This issue's purpose is to determine which contrastive optimization methods should be added in torchtune and track methods that are implementing right now. For all of the…
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I am trying to implement my own kernel for Gaussian Processes regression.
In order to do so I tried to reproduce the structure of the common kernels in sklearn.gaussian_process.kernels but with no …
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I'm using GraphConvModel to train for 3 tasks. Since the results weren't very good I used GPGO hyperparameter optimization. I use deepchem version '2.1.1'.
These are the optimized hyperparameters …
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When performing hyperparameter optimization using nnictl on the Windows platform, a TypeError occurred: data should be an instance of list/np.ndarray/torch.Tensor, but got .
## SAITS_searching_conf…
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I wonder, wouldn't fixing the random seed should lead to get the same exact solution every time? Basically every time I'm trying to fit the GP with the same exact data points, the optimization does no…
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### 🐛 Bug
The [help](https://github.com/DLR-RM/rl-baselines3-zoo/blob/e06914e9835b8f3233b18d59943b1464b89ddb90/rl_zoo3/train.py#L44) for `--optimization-log-path` claims: _"Path to save the **evaluat…