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Just looking at an application of this in some custom code, and please let me know whether I'm correct in understanding that _n_restarts_optimizer_ in the [BayesianOptimisation function](https://githu…
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Hi,
Sorry for creating this as a new issue, but technically it is. I added a comment to #1287 about this, but since it is a different problem, I thought it would be best to track it in a new issue.…
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I recently encountered a TypeError when using the inner_cv function from the library. The error suggests that the convert_to_metrics_dict() function is receiving an unexpected number of arguments.
…
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We allow stopping criteria to be a list of conditions (e.g. max_wallclock_time=60, min_metric_value={"mean_loss": -6.0}, etc.). Currently, Syne-tune considers them as OR connected statement and stop …
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Hi,
It appears that the gradients of the acquisition functions are wrong when `normalizer=True` is used in the model definition. This is because `model.predictive_gradients` in GPy (which is calle…
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**Describe the bug**
The optimizer tries values that are outside my pbounds. In particular, it happens for the pitch variable. It happens few iterations. I check the definition of pbounds but it seem…
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This issue appeared after switching from version 1.3.5 to 1.4.2. No code changes were done.
```
if args.auto_tune:
print('AUTO TUNING ENABLED')
def build_model(hp):
…
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Hi folks,
I'm doing single-GPU training w/ XGBoost 1.5.2 with a proprietary dataset & codebase. I'll try to provide as much info as permissibly possible.
I am using the scikit-learn API to trai…
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The following code throws an exception.
```python
import kernel_tuner
source = """
__global__ void foo() {
}
"""
problem_size = 100
args = []
tune_params = dict(
block_size_x=[1…
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Hi,
I am looking through probabilistic packages in Julia for modeling timeseries in a real-time such that my current model can be efficiently updated given a couple of new data points (maybe even one…