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Thank you for your great work! I would like to know which hyperparameters you have searched for for VTAB-1k. Is it convenient to provide hyperparameters setting.
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## Environment Information
Python Version: 3.10.14
boto3 == 1.24.4
pytest == 8.3.2
moto == 5.0.13
## Problem Description
I believe this issue is very similar to [#7898](https://githu…
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For now, we are changing the hyperparameters by hand and randomly. We must search for a good choices for hyperparameters for the selected model. Golden section search method can be used to solve this …
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Hi,
When using hp.choice together with tpe.suggest, I notice the exact same set of values is tried out several times. Is that a normal behaviour? My search space is pretty large (I use ranges of in…
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Though you haven't yet done an extensive hyperparameter search, might you give us one or two examples of hyperparameter settings you have used?
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```python
import pandas as pd
import numpy as np
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.model_selection import train_test_split, GridSearchCV
from sklearn.linear…
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An initial effort has been done to include many models for the modelling and classification task. However, there are several small improvements that could greatly benefit the package.
Hyperparamete…
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Using the frontpage complete MNIST example, the below only works if _some_ hyperparameter search is added after Sequential
```
model = Sequential()
model.add(Dense({{choice([100, 200])}})) # Th…
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# Problem
Would be good to have some *hyperparameter tuning* tools available for finding optimal *hyperparameters* for the different autoencoder variants.
## References
+ https://neptune.ai/blog/…
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# Improving Tune examples
All examples should have
* demonstrate how to retrieve best hyperparameter
* verbose comments for code
* set verbose=1 for better experience
* [Load the…