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First off awesome app, when I found this I was so happy I could finally retire my WMC and move to nextpvr. I got this running on my Win7 based device, upgraded to W10 and all working great. A few da…
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@EEG-PK/model
Dobór hiper-parametrów, optymalizacja ogólna. (Optuna?)
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Consider installing `keras-tuner` so make it easier to perform hyper-parameter optimization for `tf.keras` models.
https://github.com/keras-team/keras-tuner
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### Description & Motivation
I would like to change the the `Tuner` and `LearningRateFinder` API so that it is possible to use more custom models.
#### Description
Currently, the learning ra…
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It would be nice, if one could conveniently save the hyperparameters used to train a model. In other words, if there was a function to create custom hyperparameter templates so to speak
So right n…
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See also #85. Most ALNS heuristics have a ton of (hyper)parameters. This happens more or less naturally, as may things can be tweaked - in operators, call-backs, but also in the core accept/stop/opera…
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**Describe the bug**
When using the XGBoost estimator is script mode, user's are unable to provide custom tunable parameters in their script. It appears there is a check in the sdk (and boto3 below i…
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I am trying to adopt the following code for Bayesian optimization to use with my own data:
https://eagerai.github.io/kerastuneR/articles/BayesianOptimisation.html
I have the following:
```
#…
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```python
import hyperengine
import numpy as np
def rosenbrock(hyperparams):
return (hyperparams["x"]-1)**2 + 10*(hyperparams["x"]**2-hyperparams["y"])**2
class BlackBoxSolver:
def __init_…
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**Describe the bug**
```
Traceback (most recent call last):
File "TrainModels.py", line 112, in
hyper_tuner.search(tf_train, validation_data=tf_valid)
File "/opt/conda/lib/python3.7/site…